tambahannya
This commit is contained in:
bipproduction
4
.env.example
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4
.env.example
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DATABASE_URL="postgresql://bip:Production_123@localhost:5432/mydb?schema=public"
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JWT_SECRET=super_sangat_rahasia_sekali
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BUN_PUBLIC_BASE_URL=http://localhost:3000
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PORT=3000
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42
.gitignore
vendored
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42
.gitignore
vendored
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# dependencies (bun install)
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node_modules
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# output
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out
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dist
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*.tgz
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# code coverage
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coverage
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*.lcov
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# logs
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logs
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_.log
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report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
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# dotenv environment variable files
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.env
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.env.development.local
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.env.test.local
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.env.production.local
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.env.local
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# caches
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.eslintcache
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.cache
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*.tsbuildinfo
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# IntelliJ based IDEs
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.idea
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# Finder (MacOS) folder config
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.DS_Store
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# Prisma generated client
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generated/
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# nextpush
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nextpush
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nextpush/
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3
.vscode/settings.json
vendored
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3
.vscode/settings.json
vendored
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@@ -0,0 +1,3 @@
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{
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"python.formatting.provider": "yapf"
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}
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138
README.md
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138
README.md
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@@ -0,0 +1,138 @@
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# Bun React Template Starter
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This template is a starting point for building modern full-stack web applications using Bun, React, ElysiaJS, and Prisma. This project is designed to provide a fast, efficient, and structured development experience with a cutting-edge technology stack.
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## Key Features
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- **Super-Fast Runtime**: Built on top of [Bun](https://bun.sh/), a high-performance JavaScript runtime.
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- **End-to-End Typesafe Backend**: Utilizes [ElysiaJS](https://elysiajs.com/) for a type-safe API from the backend to the frontend.
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- **Automatic API Documentation**: Comes with [Elysia Swagger](https://elysiajs.com/plugins/swagger) to automatically generate interactive API documentation.
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- **Modern Frontend**: A feature-rich and customizable user interface using [React](https://react.dev/) and [Mantine UI](https://mantine.dev/).
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- **Easy Database Access**: Integrated with [Prisma](https://www.prisma.io/) as an ORM for intuitive and secure database interactions.
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- **Clear Project Structure**: Logical file and folder organization to facilitate easy navigation and development.
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## Tech Stack
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- **Runtime**: Bun
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- **Backend**:
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- **Framework**: ElysiaJS
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- **ElysiaJS Modules**:
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- `@elysiajs/cors`: Manages Cross-Origin Resource Sharing policies.
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- `@elysiajs/jwt`: JSON Web Token-based authentication.
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- `@elysiajs/swagger`: Creates API documentation (Swagger/OpenAPI).
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- `@elysiajs/eden`: A typesafe RPC-like client to connect the frontend with the Elysia API.
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- **Frontend**:
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- **Library**: React
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- **UI Framework**: Mantine
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- **Routing**: React Router
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- **Data Fetching**: SWR
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- **Database**:
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- **ORM**: Prisma
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- **Supported Databases**: PostgreSQL (default), MySQL, SQLite, etc.
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- **Language**: TypeScript
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## Getting Started
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### 1. Clone the Repository
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```bash
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git clone https://github.com/your-username/bun-react-template-starter.git
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cd bun-react-template-starter
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```
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### 2. Install Dependencies
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Ensure you have [Bun](https://bun.sh/docs/installation) installed. Then, run the following command:
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```bash
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bun install
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```
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### 3. Configure Environment Variables
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Copy the `.env.example` file to `.env` and customize the values.
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```bash
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cp .env.example .env
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```
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Fill in your `.env` file similar to the example below:
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```
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DATABASE_URL="postgresql://user:password@host:port/database?schema=public"
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JWT_SECRET=a_super_long_and_secure_secret
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BUN_PUBLIC_BASE_URL=http://localhost:3000
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PORT=3000
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```
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After that, create TypeScript type declarations for your environment variables with the provided script:
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```bash
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bun run generate:env
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```
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This command will generate a `types/env.d.ts` file based on your `.env`.
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### 4. Database Preparation
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Make sure your PostgreSQL database server is running. Then, apply the Prisma schema to your database:
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```bash
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bunx prisma db push
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```
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You can also seed the database with initial data using the following script:
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```bash
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bun run seed
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```
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### 5. Running the Development Server
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```bash
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bun run dev
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```
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The application will be running at `http://localhost:3000`. The server supports hot-reloading, so changes in the code will be reflected instantly without needing a manual restart.
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### 6. Accessing API Documentation (Swagger)
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Once the server is running, you can access the automatically generated API documentation at:
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`http://localhost:3000/swagger`
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## Available Scripts
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- `bun run dev`: Runs the development server with hot-reloading.
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- `bun run build`: Builds the frontend application for production into the `dist` directory.
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- `bun run start`: Runs the application in production mode.
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- `bun run seed`: Executes the database seeding script located in `prisma/seed.ts`.
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- `bun run generate:route`: A utility to create new route files in the backend.
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- `bun run generate:env`: Generates a type definition file (`.d.ts`) from the variables in `.env`.
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## Project Structure
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```
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/
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├── bin/ # Utility scripts (generators)
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├── prisma/ # Database schema, migrations, and seed
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├── src/ # Main source code
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│ ├── App.tsx # Root application component
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│ ├── clientRoutes.ts # Route definitions for the frontend
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│ ├── frontend.tsx # Entry point for client-side rendering (React)
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│ ├── index.css # Global CSS file
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│ ├── index.html # Main HTML template
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│ ├── index.tsx # Main entry point for the app (server and client)
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│ ├── components/ # Reusable React components
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│ ├── lib/ # Shared libraries/helpers (e.g., apiFetch)
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│ ├── pages/ # React page components
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│ └── server/ # Backend code (ElysiaJS)
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│ ├── lib/ # Server-specific libraries (e.g., prisma client)
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│ ├── middlewares/ # Middleware for the API
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│ └── routes/ # API route files
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└── types/ # TypeScript type definitions
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```
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## Contributing
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Contributions are highly welcome! Please feel free to create a pull request to add features, fix bugs, or improve the documentation.
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53
bin/env.generate.ts
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53
bin/env.generate.ts
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@@ -0,0 +1,53 @@
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import * as fs from "fs";
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import * as path from "path";
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import * as dotenv from "dotenv";
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interface GenerateEnvTypesOptions {
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envFilePath?: string;
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outputDir?: string;
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outputFileName?: string;
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}
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export function generateEnvTypes(options: GenerateEnvTypesOptions = {}) {
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const {
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envFilePath = path.resolve(process.cwd(), ".env"),
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outputDir = path.resolve(process.cwd(), "types"),
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outputFileName = "env.d.ts",
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} = options;
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const outputFile = path.join(outputDir, outputFileName);
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// 1. Baca .env
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if (!fs.existsSync(envFilePath)) {
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console.warn(`⚠️ .env file not found at: ${envFilePath}`);
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return;
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}
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const envContent = fs.readFileSync(envFilePath, "utf-8");
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const parsed = dotenv.parse(envContent);
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// 2. Generate TypeScript declare
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const lines = Object.keys(parsed).map((key) => ` ${key}?: string;`);
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const fileContent = `declare namespace NodeJS {
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interface ProcessEnv {
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${lines.join("\n")}
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}
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}
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`;
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// 3. Buat folder kalau belum ada
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if (!fs.existsSync(outputDir)) {
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fs.mkdirSync(outputDir, { recursive: true });
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}
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// 4. Tulis file
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fs.writeFileSync(outputFile, fileContent, "utf-8");
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console.log(`✅ Env types generated at: ${outputFile}`);
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}
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if (import.meta.main) {
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generateEnvTypes();
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}
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416
bin/route.generate.ts
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416
bin/route.generate.ts
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@@ -0,0 +1,416 @@
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#!/usr/bin/env bun
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import fs from "fs";
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import path from "path";
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import * as parser from "@babel/parser";
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import traverse from "@babel/traverse";
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import * as t from "@babel/types";
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import { readdirSync, statSync, writeFileSync } from "fs";
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import _ from "lodash";
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import { basename, extname, join, relative } from "path";
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const PAGES_DIR = join(process.cwd(), "src/pages");
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const OUTPUT_FILE = join(process.cwd(), "src/AppRoutes.tsx");
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/******************************
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* Prefetch Helper Template
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******************************/
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const PREFETCH_HELPER = `
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/**
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* Prefetch lazy component:
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* - Hover
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* - Visible (viewport)
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* - Browser idle
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*/
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export function attachPrefetch(el: HTMLElement | null, preload: () => void) {
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if (!el) return;
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let done = false;
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const run = () => {
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if (done) return;
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done = true;
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preload();
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};
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// 1) On hover
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el.addEventListener("pointerenter", run, { once: true });
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// 2) On visible (IntersectionObserver)
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const io = new IntersectionObserver((entries) => {
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if (entries && entries[0] && entries[0].isIntersecting) {
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run();
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io.disconnect();
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}
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});
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io.observe(el);
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|
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// 3) On idle
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if ("requestIdleCallback" in window) {
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requestIdleCallback(() => run());
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} else {
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setTimeout(run, 200);
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}
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}
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`;
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/******************************
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* Component Name Generator
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||||
******************************/
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const toComponentName = (fileName: string): string =>
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fileName
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.replace(/\.[^/.]+$/, "")
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||||
.replace(/[_-]+/g, " ")
|
||||
.replace(/([a-z])([A-Z])/g, "$1 $2")
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||||
.replace(/\b\w/g, (c) => c.toUpperCase())
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||||
.replace(/\s+/g, "");
|
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|
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/******************************
|
||||
* Route Path Normalizer
|
||||
******************************/
|
||||
function toRoutePath(name: string): string {
|
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name = name.replace(/\.[^/.]+$/, "");
|
||||
|
||||
if (name.toLowerCase() === "home") return "/";
|
||||
if (name.toLowerCase() === "login") return "/login";
|
||||
if (name.toLowerCase() === "notfound") return "/*";
|
||||
|
||||
if (name.startsWith("[") && name.endsWith("]"))
|
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return `:${name.slice(1, -1)}`;
|
||||
|
||||
name = name.replace(/_page$/i, "").replace(/^form_/i, "");
|
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return _.kebabCase(name);
|
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}
|
||||
|
||||
/******************************
|
||||
* Scan Folder + Validation + Dynamic Duplicate Check
|
||||
******************************/
|
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function scan(dir: string): any[] {
|
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const items = readdirSync(dir);
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const routes: any[] = [];
|
||||
const dynamicParams = new Set<string>();
|
||||
|
||||
for (const item of items) {
|
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const full = join(dir, item);
|
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const stat = statSync(full);
|
||||
|
||||
if (stat.isDirectory()) {
|
||||
if (!/^[a-zA-Z0-9_-]+$/.test(item)) {
|
||||
console.warn(`⚠️ Invalid folder name: ${item}`);
|
||||
}
|
||||
|
||||
routes.push({
|
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name: item,
|
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path: _.kebabCase(item),
|
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children: scan(full),
|
||||
});
|
||||
} else if (extname(item) === ".tsx") {
|
||||
const base = basename(item, ".tsx");
|
||||
|
||||
if (!/^[a-zA-Z0-9_[\]-]+$/.test(base)) {
|
||||
console.warn(`⚠️ Invalid file name: ${item}`);
|
||||
}
|
||||
|
||||
if (base.startsWith("[") && base.endsWith("]")) {
|
||||
const p = base.slice(1, -1);
|
||||
if (dynamicParams.has(p)) {
|
||||
console.error(`❌ Duplicate dynamic param "${p}" in ${dir}`);
|
||||
process.exit(1);
|
||||
}
|
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dynamicParams.add(p);
|
||||
}
|
||||
|
||||
routes.push({
|
||||
name: base,
|
||||
filePath: relative(join(process.cwd(), "src"), full).replace(/\\/g, "/"),
|
||||
});
|
||||
}
|
||||
}
|
||||
return routes;
|
||||
}
|
||||
|
||||
/******************************
|
||||
* Index Detection
|
||||
******************************/
|
||||
function findIndexFile(folderName: string, children: any[]) {
|
||||
const lower = folderName.toLowerCase();
|
||||
|
||||
return (
|
||||
children.find((r: any) => r.name.toLowerCase().endsWith("_home")) ||
|
||||
children.find((r: any) => r.name.toLowerCase() === "index") ||
|
||||
children.find((r: any) => r.name.toLowerCase() === `${lower}_page`)
|
||||
);
|
||||
}
|
||||
|
||||
/******************************
|
||||
* Generate JSX <Route> (Lazy + Prefetch)
|
||||
******************************/
|
||||
function generateJSX(routes: any[], parentPath = ""): string {
|
||||
let jsx = "";
|
||||
|
||||
|
||||
for (const route of routes) {
|
||||
if (route.children) {
|
||||
const layout = route.children.find((r: any) =>
|
||||
r.name.endsWith("_layout")
|
||||
);
|
||||
|
||||
if (layout) {
|
||||
const LayoutComp = toComponentName(
|
||||
layout.name.replace("_layout", "Layout")
|
||||
);
|
||||
|
||||
const nested = route.children.filter((x: any) => x !== layout);
|
||||
const nestedRoutes = generateJSX(nested, `${parentPath}/${route.path}`);
|
||||
|
||||
const indexFile = findIndexFile(route.name, route.children);
|
||||
|
||||
const indexRoute = indexFile
|
||||
? `<Route index element={<${toComponentName(
|
||||
indexFile.name
|
||||
)}.Component />} />`
|
||||
: `<Route index element={<Navigate to="${(
|
||||
parentPath +
|
||||
"/" +
|
||||
route.path +
|
||||
"/" +
|
||||
(nested[0]?.name ?? "")
|
||||
).replace(/\/+/g, "/")}" replace />}/>`;
|
||||
|
||||
jsx += `
|
||||
<Route path="${parentPath}/${route.path}" element={<${LayoutComp}.Component />}>
|
||||
${indexRoute}
|
||||
${nestedRoutes}
|
||||
</Route>
|
||||
`;
|
||||
} else {
|
||||
jsx += generateJSX(route.children, `${parentPath}/${route.path}`);
|
||||
}
|
||||
} else {
|
||||
const Comp = toComponentName(route.name);
|
||||
const routePath = toRoutePath(route.name);
|
||||
|
||||
const fullPath = routePath.startsWith("/")
|
||||
? routePath
|
||||
: `${parentPath}/${routePath}`.replace(/\/+/g, "/");
|
||||
|
||||
jsx += `
|
||||
<Route
|
||||
path="${fullPath}"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<${Comp}.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
`;
|
||||
}
|
||||
}
|
||||
|
||||
return jsx;
|
||||
}
|
||||
|
||||
/******************************
|
||||
* Lazy Import + Prefetch Injection
|
||||
******************************/
|
||||
function generateImports(routes: any[]): string {
|
||||
const list: string[] = [];
|
||||
|
||||
function walk(rs: any[]) {
|
||||
for (const r of rs) {
|
||||
if (r.children) walk(r.children);
|
||||
else {
|
||||
const C = toComponentName(r.name);
|
||||
const file = r.filePath.replace(/\.tsx$/, "");
|
||||
|
||||
list.push(`
|
||||
const ${C} = {
|
||||
Component: React.lazy(() => import("./${file}")),
|
||||
preload: () => import("./${file}")
|
||||
};
|
||||
`);
|
||||
}
|
||||
}
|
||||
}
|
||||
walk(routes);
|
||||
return list.join("\n");
|
||||
}
|
||||
|
||||
/******************************
|
||||
* Generate AppRoutes.tsx
|
||||
******************************/
|
||||
function generateRoutes() {
|
||||
const allRoutes = scan(PAGES_DIR);
|
||||
const imports = generateImports(allRoutes);
|
||||
const jsx = generateJSX(allRoutes);
|
||||
|
||||
let loadingSkeleton = `
|
||||
const SkeletonLoading = () => {
|
||||
return (
|
||||
<div style={{ padding: "20px" }}>
|
||||
{Array.from({ length: 5 }, (_, i) => (
|
||||
<Skeleton key={i} height={70} radius="md" animate={true} mb="sm" />
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
`
|
||||
|
||||
const final = `
|
||||
// ⚡ AUTO-GENERATED — DO NOT EDIT
|
||||
import React from "react";
|
||||
import { BrowserRouter, Routes, Route, Navigate } from "react-router-dom";
|
||||
import { Skeleton } from "@mantine/core";
|
||||
|
||||
${loadingSkeleton}
|
||||
${PREFETCH_HELPER}
|
||||
${imports}
|
||||
|
||||
export default function AppRoutes() {
|
||||
return (
|
||||
<BrowserRouter>
|
||||
<Routes>
|
||||
${jsx}
|
||||
</Routes>
|
||||
</BrowserRouter>
|
||||
);
|
||||
}
|
||||
`;
|
||||
|
||||
writeFileSync(OUTPUT_FILE, final);
|
||||
console.log(`✅ Routes generated → ${OUTPUT_FILE}`);
|
||||
|
||||
Bun.spawnSync(["bunx", "prettier", "--write", "src/**/*.tsx"]);
|
||||
}
|
||||
|
||||
/******************************
|
||||
* Extract flat client routes
|
||||
******************************/
|
||||
const SRC_DIR = path.resolve("src");
|
||||
const APP_ROUTES_FILE = join(SRC_DIR, "AppRoutes.tsx");
|
||||
|
||||
interface RouteNode {
|
||||
path: string;
|
||||
children: RouteNode[];
|
||||
}
|
||||
|
||||
function getAttributePath(attrs: any[]) {
|
||||
const attr = attrs.find(
|
||||
(a) => t.isJSXAttribute(a) && a.name.name === "path"
|
||||
) as any;
|
||||
|
||||
return attr?.value?.value ?? "";
|
||||
}
|
||||
|
||||
function extractRouteNodes(node: t.JSXElement): RouteNode | null {
|
||||
const op = node.openingElement;
|
||||
if (!t.isJSXIdentifier(op.name) || op.name.name !== "Route") return null;
|
||||
|
||||
const cur = getAttributePath(op.attributes);
|
||||
const children: RouteNode[] = [];
|
||||
|
||||
for (const c of node.children) {
|
||||
if (t.isJSXElement(c)) {
|
||||
const n = extractRouteNodes(c);
|
||||
if (n) children.push(n);
|
||||
}
|
||||
}
|
||||
return { path: cur, children };
|
||||
}
|
||||
|
||||
function flattenRoutes(node: RouteNode, parent = ""): Record<string, string> {
|
||||
const r: Record<string, string> = {};
|
||||
let full = node.path;
|
||||
|
||||
if (full) {
|
||||
if (!full.startsWith("/"))
|
||||
full =
|
||||
parent && full !== "/"
|
||||
? `${parent.replace(/\/$/, "")}/${full}`
|
||||
: "/" + full;
|
||||
full = full.replace(/\/+/g, "/");
|
||||
r[full] = full;
|
||||
}
|
||||
|
||||
for (const c of node.children)
|
||||
Object.assign(r, flattenRoutes(c, full || parent));
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
function extractRoutes(code: string) {
|
||||
const ast = parser.parse(code, {
|
||||
sourceType: "module",
|
||||
plugins: ["jsx", "typescript"],
|
||||
});
|
||||
|
||||
const routes: Record<string, string> = {};
|
||||
|
||||
traverse(ast, {
|
||||
JSXElement(p) {
|
||||
const op = p.node.openingElement;
|
||||
|
||||
if (t.isJSXIdentifier(op.name) && op.name.name === "Routes") {
|
||||
for (const c of p.node.children) {
|
||||
if (t.isJSXElement(c)) {
|
||||
const root = extractRouteNodes(c);
|
||||
if (root) Object.assign(routes, flattenRoutes(root));
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
});
|
||||
|
||||
return routes;
|
||||
}
|
||||
|
||||
/******************************
|
||||
* Type-Safe Route Builder
|
||||
******************************/
|
||||
function generateTypeSafe(routes: Record<string, string>) {
|
||||
const keys = Object.keys(routes).filter((x) => !x.includes("*"));
|
||||
const union = keys.map((x) => `"${x}"`).join(" | ");
|
||||
|
||||
const code = `
|
||||
export type AppRoute = ${union};
|
||||
|
||||
export function route(path: AppRoute, params?: Record<string,string|number>) {
|
||||
if (!params) return path;
|
||||
let final = path;
|
||||
for (const k of Object.keys(params)) {
|
||||
final = final.replace(":" + k, params[k] + "") as AppRoute;
|
||||
}
|
||||
return final;
|
||||
}
|
||||
`;
|
||||
|
||||
fs.writeFileSync(join(SRC_DIR, "routeTypes.ts"), code);
|
||||
console.log("📄 routeTypes.ts generated.");
|
||||
}
|
||||
|
||||
/******************************
|
||||
* MAIN
|
||||
******************************/
|
||||
export default function run() {
|
||||
generateRoutes();
|
||||
|
||||
const code = fs.readFileSync(APP_ROUTES_FILE, "utf-8");
|
||||
const routes = extractRoutes(code);
|
||||
|
||||
const out = join(SRC_DIR, "clientRoutes.ts");
|
||||
|
||||
fs.writeFileSync(
|
||||
out,
|
||||
`// AUTO-GENERATED\nconst clientRoutes = ${JSON.stringify(
|
||||
routes,
|
||||
null,
|
||||
2
|
||||
)} as const;\nexport default clientRoutes;`
|
||||
);
|
||||
|
||||
console.log(`📄 clientRoutes.ts saved → ${out}`);
|
||||
|
||||
generateTypeSafe(routes);
|
||||
}
|
||||
|
||||
run();
|
||||
17
bun-env.d.ts
vendored
Normal file
17
bun-env.d.ts
vendored
Normal file
@@ -0,0 +1,17 @@
|
||||
// Generated by `bun init`
|
||||
|
||||
declare module "*.svg" {
|
||||
/**
|
||||
* A path to the SVG file
|
||||
*/
|
||||
const path: `${string}.svg`;
|
||||
export = path;
|
||||
}
|
||||
|
||||
declare module "*.module.css" {
|
||||
/**
|
||||
* A record of class names to their corresponding CSS module classes
|
||||
*/
|
||||
const classes: { readonly [key: string]: string };
|
||||
export = classes;
|
||||
}
|
||||
589
bun.lock
Normal file
589
bun.lock
Normal file
@@ -0,0 +1,589 @@
|
||||
{
|
||||
"lockfileVersion": 1,
|
||||
"workspaces": {
|
||||
"": {
|
||||
"name": "bun-react-template",
|
||||
"dependencies": {
|
||||
"@elysiajs/cors": "^1.4.0",
|
||||
"@elysiajs/eden": "^1.4.5",
|
||||
"@elysiajs/jwt": "^1.4.0",
|
||||
"@elysiajs/swagger": "^1.3.1",
|
||||
"@gradio/client": "^2.0.0",
|
||||
"@mantine/core": "^8.3.8",
|
||||
"@mantine/hooks": "^8.3.8",
|
||||
"@mantine/modals": "^8.3.8",
|
||||
"@mantine/notifications": "^8.3.8",
|
||||
"@prisma/client": "^6.19.0",
|
||||
"@prisma/extension-accelerate": "^3.0.0",
|
||||
"@tabler/icons-react": "^3.35.0",
|
||||
"@types/randomstring": "^1.3.0",
|
||||
"dotenv": "^17.2.3",
|
||||
"elysia": "^1.4.16",
|
||||
"jwt-decode": "^4.0.0",
|
||||
"lodash": "^4.17.21",
|
||||
"node-av": "^5.0.2",
|
||||
"randomstring": "^1.3.1",
|
||||
"react": "^19.2.0",
|
||||
"react-dom": "^19.2.0",
|
||||
"react-router-dom": "^7.9.6",
|
||||
"swr": "^2.3.6",
|
||||
"tiktok-tts": "^1.1.17",
|
||||
"zod": "^4.1.13",
|
||||
},
|
||||
"devDependencies": {
|
||||
"@babel/parser": "^7.28.5",
|
||||
"@babel/traverse": "^7.28.5",
|
||||
"@babel/types": "^7.28.5",
|
||||
"@types/babel__traverse": "^7.28.0",
|
||||
"@types/bun": "latest",
|
||||
"@types/jwt-decode": "^3.1.0",
|
||||
"@types/lodash": "^4.17.21",
|
||||
"@types/react": "^19.2.6",
|
||||
"@types/react-dom": "^19.2.3",
|
||||
"postcss": "^8.5.6",
|
||||
"postcss-preset-mantine": "^1.18.0",
|
||||
"postcss-simple-vars": "^7.0.1",
|
||||
"prisma": "^6.19.0",
|
||||
},
|
||||
},
|
||||
},
|
||||
"packages": {
|
||||
"@babel/code-frame": ["@babel/code-frame@7.27.1", "", { "dependencies": { "@babel/helper-validator-identifier": "^7.27.1", "js-tokens": "^4.0.0", "picocolors": "^1.1.1" } }, "sha512-cjQ7ZlQ0Mv3b47hABuTevyTuYN4i+loJKGeV9flcCgIK37cCXRh+L1bd3iBHlynerhQ7BhCkn2BPbQUL+rGqFg=="],
|
||||
|
||||
"@babel/generator": ["@babel/generator@7.28.5", "", { "dependencies": { "@babel/parser": "^7.28.5", "@babel/types": "^7.28.5", "@jridgewell/gen-mapping": "^0.3.12", "@jridgewell/trace-mapping": "^0.3.28", "jsesc": "^3.0.2" } }, "sha512-3EwLFhZ38J4VyIP6WNtt2kUdW9dokXA9Cr4IVIFHuCpZ3H8/YFOl5JjZHisrn1fATPBmKKqXzDFvh9fUwHz6CQ=="],
|
||||
|
||||
"@babel/helper-globals": ["@babel/helper-globals@7.28.0", "", {}, "sha512-+W6cISkXFa1jXsDEdYA8HeevQT/FULhxzR99pxphltZcVaugps53THCeiWA8SguxxpSp3gKPiuYfSWopkLQ4hw=="],
|
||||
|
||||
"@babel/helper-string-parser": ["@babel/helper-string-parser@7.27.1", "", {}, "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA=="],
|
||||
|
||||
"@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.28.5", "", {}, "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q=="],
|
||||
|
||||
"@babel/parser": ["@babel/parser@7.28.5", "", { "dependencies": { "@babel/types": "^7.28.5" }, "bin": "./bin/babel-parser.js" }, "sha512-KKBU1VGYR7ORr3At5HAtUQ+TV3SzRCXmA/8OdDZiLDBIZxVyzXuztPjfLd3BV1PRAQGCMWWSHYhL0F8d5uHBDQ=="],
|
||||
|
||||
"@babel/runtime": ["@babel/runtime@7.28.4", "", {}, ""],
|
||||
|
||||
"@babel/template": ["@babel/template@7.27.2", "", { "dependencies": { "@babel/code-frame": "^7.27.1", "@babel/parser": "^7.27.2", "@babel/types": "^7.27.1" } }, "sha512-LPDZ85aEJyYSd18/DkjNh4/y1ntkE5KwUHWTiqgRxruuZL2F1yuHligVHLvcHY2vMHXttKFpJn6LwfI7cw7ODw=="],
|
||||
|
||||
"@babel/traverse": ["@babel/traverse@7.28.5", "", { "dependencies": { "@babel/code-frame": "^7.27.1", "@babel/generator": "^7.28.5", "@babel/helper-globals": "^7.28.0", "@babel/parser": "^7.28.5", "@babel/template": "^7.27.2", "@babel/types": "^7.28.5", "debug": "^4.3.1" } }, "sha512-TCCj4t55U90khlYkVV/0TfkJkAkUg3jZFA3Neb7unZT8CPok7iiRfaX0F+WnqWqt7OxhOn0uBKXCw4lbL8W0aQ=="],
|
||||
|
||||
"@babel/types": ["@babel/types@7.28.5", "", { "dependencies": { "@babel/helper-string-parser": "^7.27.1", "@babel/helper-validator-identifier": "^7.28.5" } }, "sha512-qQ5m48eI/MFLQ5PxQj4PFaprjyCTLI37ElWMmNs0K8Lk3dVeOdNpB3ks8jc7yM5CDmVC73eMVk/trk3fgmrUpA=="],
|
||||
|
||||
"@borewit/text-codec": ["@borewit/text-codec@0.1.1", "", {}, "sha512-5L/uBxmjaCIX5h8Z+uu+kA9BQLkc/Wl06UGR5ajNRxu+/XjonB5i8JpgFMrPj3LXTCPA0pv8yxUvbUi+QthGGA=="],
|
||||
|
||||
"@elysiajs/cors": ["@elysiajs/cors@1.4.0", "", { "peerDependencies": { "elysia": ">= 1.4.0" } }, ""],
|
||||
|
||||
"@elysiajs/eden": ["@elysiajs/eden@1.4.5", "", { "peerDependencies": { "elysia": ">= 1.4.0" } }, "sha512-hIOeH+S5NU/84A7+t8yB1JjxqjmzRkBF9fnLn6y+AH8EcF39KumOAnciMhIOkhhThVZvXZ3d+GsizRc+Fxoi8g=="],
|
||||
|
||||
"@elysiajs/jwt": ["@elysiajs/jwt@1.4.0", "", { "dependencies": { "jose": "^6.0.11" }, "peerDependencies": { "elysia": ">= 1.4.0" } }, ""],
|
||||
|
||||
"@elysiajs/swagger": ["@elysiajs/swagger@1.3.1", "", { "dependencies": { "@scalar/themes": "^0.9.52", "@scalar/types": "^0.0.12", "openapi-types": "^12.1.3", "pathe": "^1.1.2" }, "peerDependencies": { "elysia": ">= 1.3.0" } }, ""],
|
||||
|
||||
"@fidm/asn1": ["@fidm/asn1@1.0.4", "", {}, "sha512-esd1jyNvRb2HVaQGq2Gg8Z0kbQPXzV9Tq5Z14KNIov6KfFD6PTaRIO8UpcsYiTNzOqJpmyzWgVTrUwFV3UF4TQ=="],
|
||||
|
||||
"@fidm/x509": ["@fidm/x509@1.2.1", "", { "dependencies": { "@fidm/asn1": "^1.0.4", "tweetnacl": "^1.0.1" } }, "sha512-nwc2iesjyc9hkuzcrMCBXQRn653XuAUKorfWM8PZyJawiy1QzLj4vahwzaI25+pfpwOLvMzbJ0uKpWLDNmo16w=="],
|
||||
|
||||
"@floating-ui/core": ["@floating-ui/core@1.7.3", "", { "dependencies": { "@floating-ui/utils": "^0.2.10" } }, ""],
|
||||
|
||||
"@floating-ui/dom": ["@floating-ui/dom@1.7.4", "", { "dependencies": { "@floating-ui/core": "^1.7.3", "@floating-ui/utils": "^0.2.10" } }, ""],
|
||||
|
||||
"@floating-ui/react": ["@floating-ui/react@0.27.16", "", { "dependencies": { "@floating-ui/react-dom": "^2.1.6", "@floating-ui/utils": "^0.2.10", "tabbable": "^6.0.0" }, "peerDependencies": { "react": ">=17.0.0", "react-dom": ">=17.0.0" } }, ""],
|
||||
|
||||
"@floating-ui/react-dom": ["@floating-ui/react-dom@2.1.6", "", { "dependencies": { "@floating-ui/dom": "^1.7.4" }, "peerDependencies": { "react": ">=16.8.0", "react-dom": ">=16.8.0" } }, ""],
|
||||
|
||||
"@floating-ui/utils": ["@floating-ui/utils@0.2.10", "", {}, ""],
|
||||
|
||||
"@gradio/client": ["@gradio/client@2.0.0", "", { "dependencies": { "fetch-event-stream": "^0.1.5" } }, "sha512-AYy0/0nbN3xrjquQ1ScqZp9RHkw2mlg9+zsimYC1yxOW+TpKVpweUvKcuL0QLsf/Dq7zsYJfFxM8CRf9qaKC0w=="],
|
||||
|
||||
"@jridgewell/gen-mapping": ["@jridgewell/gen-mapping@0.3.13", "", { "dependencies": { "@jridgewell/sourcemap-codec": "^1.5.0", "@jridgewell/trace-mapping": "^0.3.24" } }, "sha512-2kkt/7niJ6MgEPxF0bYdQ6etZaA+fQvDcLKckhy1yIQOzaoKjBBjSj63/aLVjYE3qhRt5dvM+uUyfCg6UKCBbA=="],
|
||||
|
||||
"@jridgewell/resolve-uri": ["@jridgewell/resolve-uri@3.1.2", "", {}, "sha512-bRISgCIjP20/tbWSPWMEi54QVPRZExkuD9lJL+UIxUKtwVJA8wW1Trb1jMs1RFXo1CBTNZ/5hpC9QvmKWdopKw=="],
|
||||
|
||||
"@jridgewell/sourcemap-codec": ["@jridgewell/sourcemap-codec@1.5.5", "", {}, "sha512-cYQ9310grqxueWbl+WuIUIaiUaDcj7WOq5fVhEljNVgRfOUhY9fy2zTvfoqWsnebh8Sl70VScFbICvJnLKB0Og=="],
|
||||
|
||||
"@jridgewell/trace-mapping": ["@jridgewell/trace-mapping@0.3.31", "", { "dependencies": { "@jridgewell/resolve-uri": "^3.1.0", "@jridgewell/sourcemap-codec": "^1.4.14" } }, "sha512-zzNR+SdQSDJzc8joaeP8QQoCQr8NuYx2dIIytl1QeBEZHJ9uW6hebsrYgbz8hJwUQao3TWCMtmfV8Nu1twOLAw=="],
|
||||
|
||||
"@leichtgewicht/ip-codec": ["@leichtgewicht/ip-codec@2.0.5", "", {}, "sha512-Vo+PSpZG2/fmgmiNzYK9qWRh8h/CHrwD0mo1h1DzL4yzHNSfWYujGTYsWGreD000gcgmZ7K4Ys6Tx9TxtsKdDw=="],
|
||||
|
||||
"@mantine/core": ["@mantine/core@8.3.9", "", { "dependencies": { "@floating-ui/react": "^0.27.16", "clsx": "^2.1.1", "react-number-format": "^5.4.4", "react-remove-scroll": "^2.7.1", "react-textarea-autosize": "8.5.9", "type-fest": "^4.41.0" }, "peerDependencies": { "@mantine/hooks": "8.3.9", "react": "^18.x || ^19.x", "react-dom": "^18.x || ^19.x" } }, "sha512-ivj0Crn5N521cI2eWZBsBGckg0ZYRqfOJz5vbbvYmfj65bp0EdsyqZuOxXzIcn2aUScQhskfvzyhV5XIUv81PQ=="],
|
||||
|
||||
"@mantine/hooks": ["@mantine/hooks@8.3.9", "", { "peerDependencies": { "react": "^18.x || ^19.x" } }, "sha512-Dfz7W0+K1cq4Gb1WFQCZn8tsMXkLH6MV409wZR/ToqsxdNDUMJ/xxbfnwEXWEZjXNJd1wDETHgc+cZG2lTe3Xw=="],
|
||||
|
||||
"@mantine/modals": ["@mantine/modals@8.3.9", "", { "peerDependencies": { "@mantine/core": "8.3.9", "@mantine/hooks": "8.3.9", "react": "^18.x || ^19.x", "react-dom": "^18.x || ^19.x" } }, "sha512-0WOikHgECJeWA/1TNf+sxOnpNwQjmpyph3XEhzFkgneimW6Ry7R6qd/i345CDLSu6kP6FGGRI73SUROiTcu2Ng=="],
|
||||
|
||||
"@mantine/notifications": ["@mantine/notifications@8.3.9", "", { "dependencies": { "@mantine/store": "8.3.9", "react-transition-group": "4.4.5" }, "peerDependencies": { "@mantine/core": "8.3.9", "@mantine/hooks": "8.3.9", "react": "^18.x || ^19.x", "react-dom": "^18.x || ^19.x" } }, "sha512-emUdoCyaccf/NuNmJ4fQgloJ7hEod0Pde7XIoD9xUUztVchL143oWRU2gYm6cwqzSyjpjTaqPXfz5UvEBRYjZw=="],
|
||||
|
||||
"@mantine/store": ["@mantine/store@8.3.9", "", { "peerDependencies": { "react": "^18.x || ^19.x" } }, "sha512-Z4tYW597mD3NxHLlJ3OJ1aKucmwrD9nhqobz+142JNw01aHqzKjxVXlu3L5GGa7F3u3OjXJk/qb1QmUs4sU+Jw=="],
|
||||
|
||||
"@minhducsun2002/leb128": ["@minhducsun2002/leb128@1.0.0", "", {}, "sha512-eFrYUPDVHeuwWHluTG1kwNQUEUcFjVKYwPkU8z9DR1JH3AW7JtJsG9cRVGmwz809kKtGfwGJj58juCZxEvnI/g=="],
|
||||
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|
||||
"unzipper": ["unzipper@0.12.3", "", { "dependencies": { "bluebird": "~3.7.2", "duplexer2": "~0.1.4", "fs-extra": "^11.2.0", "graceful-fs": "^4.2.2", "node-int64": "^0.4.0" } }, "sha512-PZ8hTS+AqcGxsaQntl3IRBw65QrBI6lxzqDEL7IAo/XCEqRTKGfOX56Vea5TH9SZczRVxuzk1re04z/YjuYCJA=="],
|
||||
|
||||
"use-callback-ref": ["use-callback-ref@1.3.3", "", { "dependencies": { "tslib": "^2.0.0" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" } }, ""],
|
||||
|
||||
"use-composed-ref": ["use-composed-ref@1.4.0", "", { "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, ""],
|
||||
|
||||
"use-isomorphic-layout-effect": ["use-isomorphic-layout-effect@1.2.1", "", { "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, ""],
|
||||
|
||||
"use-latest": ["use-latest@1.3.0", "", { "dependencies": { "use-isomorphic-layout-effect": "^1.1.1" }, "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, ""],
|
||||
|
||||
"use-sidecar": ["use-sidecar@1.1.3", "", { "dependencies": { "detect-node-es": "^1.1.0", "tslib": "^2.0.0" }, "peerDependencies": { "@types/react": "*", "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0 || ^19.0.0-rc" } }, ""],
|
||||
|
||||
"use-sync-external-store": ["use-sync-external-store@1.6.0", "", { "peerDependencies": { "react": "^16.8.0 || ^17.0.0 || ^18.0.0 || ^19.0.0" } }, "sha512-Pp6GSwGP/NrPIrxVFAIkOQeyw8lFenOHijQWkUTrDvrF4ALqylP2C/KCkeS9dpUM3KvYRQhna5vt7IL95+ZQ9w=="],
|
||||
|
||||
"util-deprecate": ["util-deprecate@1.0.2", "", {}, ""],
|
||||
|
||||
"uuid": ["uuid@11.1.0", "", { "bin": { "uuid": "dist/esm/bin/uuid" } }, "sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A=="],
|
||||
|
||||
"werift": ["werift@0.22.2", "", { "dependencies": { "@fidm/x509": "^1.2.1", "@minhducsun2002/leb128": "^1.0.0", "@noble/curves": "^1.8.1", "@peculiar/x509": "^1.12.3", "@shinyoshiaki/binary-data": "^0.6.1", "@shinyoshiaki/jspack": "^0.0.6", "aes-js": "^3.1.2", "buffer": "^6.0.3", "buffer-crc32": "^1.0.0", "date-fns": "^4.1.0", "debug": "^4.4.0", "int64-buffer": "1.1.0", "ip": "^2.0.1", "lodash": "^4.17.21", "mp4box": "^0.5.3", "multicast-dns": "^7.2.5", "nano-time": "^1.0.0", "turbo-crc32": "^1.0.1", "tweetnacl": "^1.0.3", "uuid": "^11.0.5", "werift-common": "*", "werift-dtls": "*", "werift-ice": "*", "werift-rtp": "*", "werift-sctp": "*" } }, "sha512-R+dfzOknUiGH8EcxGjWfN4404+Npj4tT1L5HpqZLjw0ARCO0B19i9gAQOo6ESzzTE+L8L1wxb1KIspOeoko+TQ=="],
|
||||
|
||||
"werift-common": ["werift-common@0.0.3", "", { "dependencies": { "@shinyoshiaki/jspack": "^0.0.6", "debug": "^4.4.0" } }, "sha512-ma3E4BqKTyZVLhrdfTVs2T1tg9seeUtKMRn5e64LwgrogWa62+3LAUoLBUSl1yPWhgSkXId7GmcHuWDen9IJeQ=="],
|
||||
|
||||
"werift-dtls": ["werift-dtls@0.5.7", "", { "dependencies": { "@fidm/x509": "^1.2.1", "@noble/curves": "^1.3.0", "@peculiar/x509": "^1.9.2", "@shinyoshiaki/binary-data": "^0.6.1", "date-fns": "^2.29.3", "lodash": "^4.17.21", "rx.mini": "^1.2.2", "tweetnacl": "^1.0.3" } }, "sha512-z2fjbP7fFUFmu/Ky4bCKXzdgPTtmSY1DYi0TUf3GG2zJT4jMQ3TQmGY8y7BSSNGetvL4h3pRZ5un0EcSOWpPog=="],
|
||||
|
||||
"werift-ice": ["werift-ice@0.2.2", "", { "dependencies": { "@shinyoshiaki/jspack": "^0.0.6", "buffer-crc32": "^1.0.0", "debug": "^4.3.4", "int64-buffer": "^1.0.1", "ip": "^2.0.1", "lodash": "^4.17.21", "multicast-dns": "^7.2.5", "p-cancelable": "^2.1.1", "rx.mini": "^1.2.2" } }, "sha512-td52pHp+JmFnUn5jfDr/SSNO0dMCbknhuPdN1tFp9cfRj5jaktN63qnAdUuZC20QCC3ETWdsOthcm+RalHpFCQ=="],
|
||||
|
||||
"werift-rtp": ["werift-rtp@0.8.8", "", { "dependencies": { "@minhducsun2002/leb128": "^1.0.0", "@shinyoshiaki/jspack": "^0.0.6", "aes-js": "^3.1.2", "buffer": "^6.0.3", "mp4box": "^0.5.3" } }, "sha512-GiYMSdvCyScQaw5bnEsraSoHUVZpjfokJAiLV4R1FsiB06t6XiebPYPpkqB9nYNNKiA8Z/cYWsym7wISq1sYSQ=="],
|
||||
|
||||
"werift-sctp": ["werift-sctp@0.0.6", "", { "dependencies": { "@shinyoshiaki/binary-data": "^0.6.1", "@shinyoshiaki/jspack": "^0.0.6", "lodash": "^4.17.21", "rx.mini": "^1.2.2", "turbo-crc32": "^1.0.1" } }, "sha512-SaGrPvkXIPGHyY58Y8TV6vee3vpYHNyvMTWdu+c6SokG3ob8tfofHLKWdO1Zu3ypNV5pL9bxBuQMzOPM3N34fg=="],
|
||||
|
||||
"zhead": ["zhead@2.2.4", "", {}, ""],
|
||||
|
||||
"zod": ["zod@4.1.13", "", {}, "sha512-AvvthqfqrAhNH9dnfmrfKzX5upOdjUVJYFqNSlkmGf64gRaTzlPwz99IHYnVs28qYAybvAlBV+H7pn0saFY4Ig=="],
|
||||
|
||||
"@scalar/themes/@scalar/types": ["@scalar/types@0.1.7", "", { "dependencies": { "@scalar/openapi-types": "0.2.0", "@unhead/schema": "^1.11.11", "nanoid": "^5.1.5", "type-fest": "^4.20.0", "zod": "^3.23.8" } }, ""],
|
||||
|
||||
"c12/dotenv": ["dotenv@16.6.1", "", {}, "sha512-uBq4egWHTcTt33a72vpSG0z3HnPuIl6NqYcTrKEg2azoEyl2hpW0zqlxysq2pK9HlDIHyHyakeYaYnSAwd8bow=="],
|
||||
|
||||
"c12/pathe": ["pathe@2.0.3", "", {}, "sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w=="],
|
||||
|
||||
"giget/pathe": ["pathe@2.0.3", "", {}, "sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w=="],
|
||||
|
||||
"nypm/pathe": ["pathe@2.0.3", "", {}, "sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w=="],
|
||||
|
||||
"pkg-types/pathe": ["pathe@2.0.3", "", {}, "sha512-WUjGcAqP1gQacoQe+OBJsFA7Ld4DyXuUIjZ5cc75cLHvJ7dtNsTugphxIADwspS+AraAUePCKrSVtPLFj/F88w=="],
|
||||
|
||||
"tsyringe/tslib": ["tslib@1.14.1", "", {}, "sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg=="],
|
||||
|
||||
"werift-dtls/date-fns": ["date-fns@2.30.0", "", { "dependencies": { "@babel/runtime": "^7.21.0" } }, "sha512-fnULvOpxnC5/Vg3NCiWelDsLiUc9bRwAPs/+LfTLNvetFCtCTN+yQz15C/fs4AwX1R9K5GLtLfn8QW+dWisaAw=="],
|
||||
|
||||
"@scalar/themes/@scalar/types/@scalar/openapi-types": ["@scalar/openapi-types@0.2.0", "", { "dependencies": { "zod": "^3.23.8" } }, ""],
|
||||
|
||||
"@scalar/themes/@scalar/types/nanoid": ["nanoid@5.1.6", "", { "bin": "bin/nanoid.js" }, ""],
|
||||
|
||||
"@scalar/themes/@scalar/types/zod": ["zod@3.25.76", "", {}, ""],
|
||||
}
|
||||
}
|
||||
5
bunfig.toml
Normal file
5
bunfig.toml
Normal file
@@ -0,0 +1,5 @@
|
||||
[serve.static]
|
||||
env = "BUN_PUBLIC_*"
|
||||
|
||||
[plugin]
|
||||
preload = ["bun-plugin-glob-import/register"]
|
||||
1
chatterbox/jobs/baru.json
Normal file
1
chatterbox/jobs/baru.json
Normal file
@@ -0,0 +1 @@
|
||||
["e4b37b72-d515-4aa4-b750-f9ab3e37f390","a4185301-2d75-4414-9390-455be77f34a4"]
|
||||
1
chatterbox/jobs/dewi.json
Normal file
1
chatterbox/jobs/dewi.json
Normal file
@@ -0,0 +1 @@
|
||||
["3390f845-837c-4c34-bfdb-7a3cab9d1cc7","d30efb95-1ad4-4c58-8660-a10e0ca44988","4f328d59-9786-493d-ac98-ba83a73ab946","2b5447b3-30c2-4573-8029-5e10f3d3bf36"]
|
||||
BIN
hasilTTS_FINAL.mp3
Normal file
BIN
hasilTTS_FINAL.mp3
Normal file
Binary file not shown.
BIN
malik_output.wav
Normal file
BIN
malik_output.wav
Normal file
Binary file not shown.
BIN
malik_output10.wav
Normal file
BIN
malik_output10.wav
Normal file
Binary file not shown.
BIN
output/merged.wav
Normal file
BIN
output/merged.wav
Normal file
Binary file not shown.
56
package.json
Normal file
56
package.json
Normal file
@@ -0,0 +1,56 @@
|
||||
{
|
||||
"name": "jenna-tools",
|
||||
"version": "0.1.0",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
"dev": "NODE_ENV=development bun --hot src/index.tsx",
|
||||
"build": "bun build ./src/index.html --outdir=dist --sourcemap --target=browser --minify --define:process.env.NODE_ENV='\"production\"' --env='BUN_PUBLIC_*'",
|
||||
"start": "NODE_ENV=production bun src/index.tsx",
|
||||
"seed": "bun prisma/seed.ts",
|
||||
"generate:route": "bun bin/route.generate.ts",
|
||||
"generate:env": "bun bin/env.generate.ts"
|
||||
},
|
||||
"dependencies": {
|
||||
"@elysiajs/cors": "^1.4.0",
|
||||
"@elysiajs/eden": "^1.4.5",
|
||||
"@elysiajs/jwt": "^1.4.0",
|
||||
"@elysiajs/swagger": "^1.3.1",
|
||||
"@gradio/client": "^2.0.0",
|
||||
"@mantine/core": "^8.3.8",
|
||||
"@mantine/hooks": "^8.3.8",
|
||||
"@mantine/modals": "^8.3.8",
|
||||
"@mantine/notifications": "^8.3.8",
|
||||
"@prisma/client": "^6.19.0",
|
||||
"@prisma/extension-accelerate": "^3.0.0",
|
||||
"@tabler/icons-react": "^3.35.0",
|
||||
"@types/randomstring": "^1.3.0",
|
||||
"dotenv": "^17.2.3",
|
||||
"elysia": "^1.4.16",
|
||||
"jwt-decode": "^4.0.0",
|
||||
"lodash": "^4.17.21",
|
||||
"node-av": "^5.0.2",
|
||||
"randomstring": "^1.3.1",
|
||||
"react": "^19.2.0",
|
||||
"react-dom": "^19.2.0",
|
||||
"react-router-dom": "^7.9.6",
|
||||
"swr": "^2.3.6",
|
||||
"tiktok-tts": "^1.1.17",
|
||||
"zod": "^4.1.13"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@babel/parser": "^7.28.5",
|
||||
"@babel/traverse": "^7.28.5",
|
||||
"@babel/types": "^7.28.5",
|
||||
"@types/babel__traverse": "^7.28.0",
|
||||
"@types/bun": "latest",
|
||||
"@types/jwt-decode": "^3.1.0",
|
||||
"@types/lodash": "^4.17.21",
|
||||
"@types/react": "^19.2.6",
|
||||
"@types/react-dom": "^19.2.3",
|
||||
"postcss": "^8.5.6",
|
||||
"postcss-preset-mantine": "^1.18.0",
|
||||
"postcss-simple-vars": "^7.0.1",
|
||||
"prisma": "^6.19.0"
|
||||
}
|
||||
}
|
||||
16
postcss.config.js
Normal file
16
postcss.config.js
Normal file
@@ -0,0 +1,16 @@
|
||||
|
||||
module.exports = {
|
||||
plugins: {
|
||||
'postcss-preset-mantine': {},
|
||||
'postcss-simple-vars': {
|
||||
variables: {
|
||||
'mantine-breakpoint-xs': '36em',
|
||||
'mantine-breakpoint-sm': '48em',
|
||||
'mantine-breakpoint-md': '62em',
|
||||
'mantine-breakpoint-lg': '75em',
|
||||
'mantine-breakpoint-xl': '88em',
|
||||
},
|
||||
},
|
||||
},
|
||||
};
|
||||
|
||||
31
prisma/schema.prisma
Normal file
31
prisma/schema.prisma
Normal file
@@ -0,0 +1,31 @@
|
||||
generator client {
|
||||
provider = "prisma-client-js"
|
||||
output = "../generated/prisma"
|
||||
}
|
||||
|
||||
datasource db {
|
||||
provider = "postgresql"
|
||||
url = env("DATABASE_URL")
|
||||
}
|
||||
|
||||
model User {
|
||||
id String @id @default(cuid())
|
||||
name String?
|
||||
email String? @unique
|
||||
password String?
|
||||
createdAt DateTime @default(now())
|
||||
updatedAt DateTime @updatedAt
|
||||
ApiKey ApiKey[]
|
||||
}
|
||||
|
||||
model ApiKey {
|
||||
id String @id @default(cuid())
|
||||
User User? @relation(fields: [userId], references: [id])
|
||||
userId String
|
||||
name String
|
||||
key String @unique @db.Text
|
||||
description String?
|
||||
expiredAt DateTime?
|
||||
createdAt DateTime @default(now())
|
||||
updatedAt DateTime @updatedAt
|
||||
}
|
||||
30
prisma/seed.ts
Normal file
30
prisma/seed.ts
Normal file
@@ -0,0 +1,30 @@
|
||||
import { prisma } from "@/server/lib/prisma";
|
||||
|
||||
const user = [
|
||||
{
|
||||
name: "Bip",
|
||||
email: "wibu@bip.com",
|
||||
password: "Production_123",
|
||||
}
|
||||
];
|
||||
|
||||
; (async () => {
|
||||
for (const u of user) {
|
||||
await prisma.user.upsert({
|
||||
where: { email: u.email },
|
||||
create: u,
|
||||
update: u,
|
||||
})
|
||||
|
||||
console.log(`✅ User ${u.email} seeded successfully`)
|
||||
}
|
||||
|
||||
|
||||
})().catch((e) => {
|
||||
console.error(e)
|
||||
process.exit(1)
|
||||
}).finally(() => {
|
||||
console.log("✅ Seeding completed successfully ")
|
||||
process.exit(0)
|
||||
})
|
||||
|
||||
138
public/READS.md
Normal file
138
public/READS.md
Normal file
@@ -0,0 +1,138 @@
|
||||
# Bun React Template Starter
|
||||
|
||||
This template is a starting point for building modern full-stack web applications using Bun, React, ElysiaJS, and Prisma. This project is designed to provide a fast, efficient, and structured development experience with a cutting-edge technology stack.
|
||||
|
||||
## Key Features
|
||||
|
||||
- **Super-Fast Runtime**: Built on top of [Bun](https://bun.sh/), a high-performance JavaScript runtime.
|
||||
- **End-to-End Typesafe Backend**: Utilizes [ElysiaJS](https://elysiajs.com/) for a type-safe API from the backend to the frontend.
|
||||
- **Automatic API Documentation**: Comes with [Elysia Swagger](https://elysiajs.com/plugins/swagger) to automatically generate interactive API documentation.
|
||||
- **Modern Frontend**: A feature-rich and customizable user interface using [React](https://react.dev/) and [Mantine UI](https://mantine.dev/).
|
||||
- **Easy Database Access**: Integrated with [Prisma](https://www.prisma.io/) as an ORM for intuitive and secure database interactions.
|
||||
- **Clear Project Structure**: Logical file and folder organization to facilitate easy navigation and development.
|
||||
|
||||
## Tech Stack
|
||||
|
||||
- **Runtime**: Bun
|
||||
- **Backend**:
|
||||
- **Framework**: ElysiaJS
|
||||
- **ElysiaJS Modules**:
|
||||
- `@elysiajs/cors`: Manages Cross-Origin Resource Sharing policies.
|
||||
- `@elysiajs/jwt`: JSON Web Token-based authentication.
|
||||
- `@elysiajs/swagger`: Creates API documentation (Swagger/OpenAPI).
|
||||
- `@elysiajs/eden`: A typesafe RPC-like client to connect the frontend with the Elysia API.
|
||||
- **Frontend**:
|
||||
- **Library**: React
|
||||
- **UI Framework**: Mantine
|
||||
- **Routing**: React Router
|
||||
- **Data Fetching**: SWR
|
||||
- **Database**:
|
||||
- **ORM**: Prisma
|
||||
- **Supported Databases**: PostgreSQL (default), MySQL, SQLite, etc.
|
||||
- **Language**: TypeScript
|
||||
|
||||
## Getting Started
|
||||
|
||||
### 1. Clone the Repository
|
||||
|
||||
```bash
|
||||
git clone https://github.com/your-username/bun-react-template-starter.git
|
||||
cd bun-react-template-starter
|
||||
```
|
||||
|
||||
### 2. Install Dependencies
|
||||
|
||||
Ensure you have [Bun](https://bun.sh/docs/installation) installed. Then, run the following command:
|
||||
|
||||
```bash
|
||||
bun install
|
||||
```
|
||||
|
||||
### 3. Configure Environment Variables
|
||||
|
||||
Copy the `.env.example` file to `.env` and customize the values.
|
||||
|
||||
```bash
|
||||
cp .env.example .env
|
||||
```
|
||||
|
||||
Fill in your `.env` file similar to the example below:
|
||||
|
||||
```
|
||||
DATABASE_URL="postgresql://user:password@host:port/database?schema=public"
|
||||
JWT_SECRET=a_super_long_and_secure_secret
|
||||
BUN_PUBLIC_BASE_URL=http://localhost:3000
|
||||
PORT=3000
|
||||
```
|
||||
|
||||
After that, create TypeScript type declarations for your environment variables with the provided script:
|
||||
|
||||
```bash
|
||||
bun run generate:env
|
||||
```
|
||||
|
||||
This command will generate a `types/env.d.ts` file based on your `.env`.
|
||||
|
||||
### 4. Database Preparation
|
||||
|
||||
Make sure your PostgreSQL database server is running. Then, apply the Prisma schema to your database:
|
||||
|
||||
```bash
|
||||
bunx prisma db push
|
||||
```
|
||||
|
||||
You can also seed the database with initial data using the following script:
|
||||
|
||||
```bash
|
||||
bun run seed
|
||||
```
|
||||
|
||||
### 5. Running the Development Server
|
||||
|
||||
```bash
|
||||
bun run dev
|
||||
```
|
||||
|
||||
The application will be running at `http://localhost:3000`. The server supports hot-reloading, so changes in the code will be reflected instantly without needing a manual restart.
|
||||
|
||||
### 6. Accessing API Documentation (Swagger)
|
||||
|
||||
Once the server is running, you can access the automatically generated API documentation at:
|
||||
|
||||
`http://localhost:3000/swagger`
|
||||
|
||||
## Available Scripts
|
||||
|
||||
- `bun run dev`: Runs the development server with hot-reloading.
|
||||
- `bun run build`: Builds the frontend application for production into the `dist` directory.
|
||||
- `bun run start`: Runs the application in production mode.
|
||||
- `bun run seed`: Executes the database seeding script located in `prisma/seed.ts`.
|
||||
- `bun run generate:route`: A utility to create new route files in the backend.
|
||||
- `bun run generate:env`: Generates a type definition file (`.d.ts`) from the variables in `.env`.
|
||||
|
||||
## Project Structure
|
||||
|
||||
```
|
||||
/
|
||||
├── bin/ # Utility scripts (generators)
|
||||
├── prisma/ # Database schema, migrations, and seed
|
||||
├── src/ # Main source code
|
||||
│ ├── App.tsx # Root application component
|
||||
│ ├── clientRoutes.ts # Route definitions for the frontend
|
||||
│ ├── frontend.tsx # Entry point for client-side rendering (React)
|
||||
│ ├── index.css # Global CSS file
|
||||
│ ├── index.html # Main HTML template
|
||||
│ ├── index.tsx # Main entry point for the app (server and client)
|
||||
│ ├── components/ # Reusable React components
|
||||
│ ├── lib/ # Shared libraries/helpers (e.g., apiFetch)
|
||||
│ ├── pages/ # React page components
|
||||
│ └── server/ # Backend code (ElysiaJS)
|
||||
│ ├── lib/ # Server-specific libraries (e.g., prisma client)
|
||||
│ ├── middlewares/ # Middleware for the API
|
||||
│ └── routes/ # API route files
|
||||
└── types/ # TypeScript type definitions
|
||||
```
|
||||
|
||||
## Contributing
|
||||
|
||||
Contributions are highly welcome! Please feel free to create a pull request to add features, fix bugs, or improve the documentation.
|
||||
13
public/apa.html
Normal file
13
public/apa.html
Normal file
@@ -0,0 +1,13 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>APA Page</title>
|
||||
</head>
|
||||
<body>
|
||||
<h1>APA Page</h1>
|
||||
<p>This is a test page to verify static file serving.</p>
|
||||
<img src="/public/kelinci.png" />
|
||||
</body>
|
||||
</html>
|
||||
BIN
public/kelincix.png
Normal file
BIN
public/kelincix.png
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 20 KiB |
7776
public/styles.css
Normal file
7776
public/styles.css
Normal file
File diff suppressed because it is too large
Load Diff
456
py/main.py
Normal file
456
py/main.py
Normal file
@@ -0,0 +1,456 @@
|
||||
import os
|
||||
import base64
|
||||
import uuid
|
||||
import asyncio
|
||||
import time
|
||||
import threading
|
||||
from typing import Dict
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
|
||||
from fastapi import FastAPI, UploadFile, File, Form, Request
|
||||
from fastapi.responses import JSONResponse, StreamingResponse
|
||||
from pydantic import BaseModel
|
||||
|
||||
from tts_util import TTSConfig, TTSEngine
|
||||
|
||||
|
||||
# ===============================================
|
||||
# CONFIG
|
||||
# ===============================================
|
||||
PROMPT_FOLDER = "prompt_source"
|
||||
os.makedirs(PROMPT_FOLDER, exist_ok=True)
|
||||
|
||||
JOBS_FOLDER = "jobs"
|
||||
os.makedirs(JOBS_FOLDER, exist_ok=True)
|
||||
|
||||
OUTPUT_FOLDER = "output"
|
||||
os.makedirs(OUTPUT_FOLDER, exist_ok=True)
|
||||
|
||||
# Job store
|
||||
job_store: Dict[str, dict] = {}
|
||||
|
||||
# Auto cleanup
|
||||
JOB_EXPIRE_SECONDS = 600
|
||||
|
||||
# FIFO queue and turbo workers
|
||||
TURBO_MODE = True
|
||||
TURBO_WORKERS = 3
|
||||
WORKER_THREADPOOL_MAX = 4
|
||||
|
||||
# Rate limiting
|
||||
RATE_LIMIT_TOKENS = 10
|
||||
RATE_LIMIT_WINDOW = 60
|
||||
|
||||
# Token buckets
|
||||
token_buckets: Dict[str, dict] = {}
|
||||
token_lock = threading.Lock()
|
||||
|
||||
# Executor and TTS engine
|
||||
thread_pool = ThreadPoolExecutor(max_workers=WORKER_THREADPOOL_MAX)
|
||||
config = TTSConfig()
|
||||
tts_engine = TTSEngine(config, thread_pool)
|
||||
|
||||
app = FastAPI(title="Chatterbox TTS Server - Turbo + FIFO + RateLimit + WAV")
|
||||
|
||||
|
||||
# ===============================================
|
||||
# RATE LIMIT UTILITIES
|
||||
# ===============================================
|
||||
def get_client_ip(request: Request) -> str:
|
||||
"""Get client IP from request"""
|
||||
xff = request.headers.get("x-forwarded-for")
|
||||
if xff:
|
||||
return xff.split(",")[0].strip()
|
||||
if request.client:
|
||||
return request.client.host
|
||||
return "unknown"
|
||||
|
||||
|
||||
def allow_request_ip(ip: str) -> bool:
|
||||
"""Check if request from IP is allowed (token bucket)"""
|
||||
now = time.time()
|
||||
with token_lock:
|
||||
bucket = token_buckets.get(ip)
|
||||
if bucket is None:
|
||||
token_buckets[ip] = {"tokens": RATE_LIMIT_TOKENS - 1, "last": now}
|
||||
return True
|
||||
|
||||
# Refill tokens
|
||||
elapsed = now - bucket["last"]
|
||||
refill = (elapsed / RATE_LIMIT_WINDOW) * RATE_LIMIT_TOKENS
|
||||
if refill > 0:
|
||||
bucket["tokens"] = min(RATE_LIMIT_TOKENS, bucket["tokens"] + refill)
|
||||
bucket["last"] = now
|
||||
|
||||
if bucket["tokens"] >= 1:
|
||||
bucket["tokens"] -= 1
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
|
||||
|
||||
# ===============================================
|
||||
# BACKGROUND WORKERS
|
||||
# ===============================================
|
||||
job_queue: asyncio.Queue = asyncio.Queue()
|
||||
|
||||
|
||||
async def worker_loop(worker_id: int):
|
||||
"""Background worker for processing TTS jobs"""
|
||||
while True:
|
||||
job_id = await job_queue.get()
|
||||
job = job_store.get(job_id)
|
||||
if job is None:
|
||||
job_queue.task_done()
|
||||
continue
|
||||
|
||||
# Mark as processing
|
||||
job["status"] = "processing"
|
||||
job["worker"] = worker_id
|
||||
job["timestamp"] = time.time()
|
||||
|
||||
try:
|
||||
prompt = job.get("prompt")
|
||||
text = job.get("text")
|
||||
prompt_path = os.path.join(PROMPT_FOLDER, f"{prompt}.wav")
|
||||
|
||||
if not os.path.exists(prompt_path):
|
||||
job["status"] = "error"
|
||||
job["error"] = "Prompt tidak ditemukan"
|
||||
job["timestamp"] = time.time()
|
||||
job_queue.task_done()
|
||||
continue
|
||||
|
||||
# Generate audio
|
||||
out_wav = os.path.join(OUTPUT_FOLDER, f"{job_id}.wav")
|
||||
await tts_engine.generate_to_file(text, prompt_path, out_wav)
|
||||
|
||||
job["status"] = "done"
|
||||
job["result"] = out_wav
|
||||
job["timestamp"] = time.time()
|
||||
|
||||
except Exception as e:
|
||||
job["status"] = "error"
|
||||
job["error"] = str(e)
|
||||
job["timestamp"] = time.time()
|
||||
finally:
|
||||
job_queue.task_done()
|
||||
|
||||
|
||||
async def cleanup_worker():
|
||||
"""Background cleanup worker for expired jobs"""
|
||||
while True:
|
||||
now = time.time()
|
||||
expired = []
|
||||
|
||||
for jid, job in list(job_store.items()):
|
||||
if (
|
||||
job.get("status") == "done"
|
||||
and now - job.get("timestamp", 0) > JOB_EXPIRE_SECONDS
|
||||
):
|
||||
f = job.get("result")
|
||||
# if f and os.path.exists(f):
|
||||
# try:
|
||||
# os.remove(f)
|
||||
# except Exception:
|
||||
# pass
|
||||
expired.append(jid)
|
||||
|
||||
for jid in expired:
|
||||
job_store.pop(jid, None)
|
||||
|
||||
# Purge stale token buckets
|
||||
with token_lock:
|
||||
stale_ips = []
|
||||
for ip, b in token_buckets.items():
|
||||
if now - b.get("last", 0) > RATE_LIMIT_WINDOW * 10:
|
||||
stale_ips.append(ip)
|
||||
for ip in stale_ips:
|
||||
token_buckets.pop(ip, None)
|
||||
|
||||
await asyncio.sleep(30)
|
||||
|
||||
|
||||
# ===============================================
|
||||
# STARTUP
|
||||
# ===============================================
|
||||
@app.on_event("startup")
|
||||
async def startup():
|
||||
"""Initialize TTS engine and start background workers"""
|
||||
# Load TTS model
|
||||
tts_engine.load_model()
|
||||
|
||||
# Start cleanup worker
|
||||
asyncio.create_task(cleanup_worker())
|
||||
|
||||
# Start turbo workers
|
||||
worker_count = TURBO_WORKERS if TURBO_MODE else 1
|
||||
for i in range(worker_count):
|
||||
asyncio.create_task(worker_loop(i + 1))
|
||||
|
||||
|
||||
# ===============================================
|
||||
# PYDANTIC MODELS
|
||||
# ===============================================
|
||||
class RegisterPromptBase64(BaseModel):
|
||||
prompt_name: str
|
||||
base64_audio: str
|
||||
|
||||
|
||||
class DeletePrompt(BaseModel):
|
||||
prompt_name: str
|
||||
|
||||
|
||||
class RenamePrompt(BaseModel):
|
||||
old_name: str
|
||||
new_name: str
|
||||
|
||||
|
||||
# ===============================================
|
||||
# PROMPT MANAGEMENT ENDPOINTS
|
||||
# ===============================================
|
||||
@app.post("/register-prompt-base64")
|
||||
async def register_prompt_base64(data: RegisterPromptBase64):
|
||||
"""Register a voice prompt from base64 audio"""
|
||||
filename = f"{data.prompt_name}.wav"
|
||||
path = os.path.join(PROMPT_FOLDER, filename)
|
||||
try:
|
||||
raw = base64.b64decode(data.base64_audio)
|
||||
with open(path, "wb") as f:
|
||||
f.write(raw)
|
||||
return {"status": "ok", "file": filename}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=400, content={"error": str(e)})
|
||||
|
||||
|
||||
@app.post("/register-prompt-file")
|
||||
async def register_prompt_file(prompt: UploadFile = File(...), name: str = Form(None)):
|
||||
"""Register a voice prompt from uploaded file"""
|
||||
prompt_name = name or os.path.splitext(prompt.filename)[0]
|
||||
save_path = os.path.join(PROMPT_FOLDER, f"{prompt_name}.wav")
|
||||
try:
|
||||
with open(save_path, "wb") as f:
|
||||
f.write(await prompt.read())
|
||||
return {"status": "ok", "file": f"{prompt_name}.wav"}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
|
||||
@app.get("/list-prompt")
|
||||
async def list_prompt():
|
||||
"""List all registered voice prompts"""
|
||||
lst = [f for f in os.listdir(PROMPT_FOLDER) if f.lower().endswith(".wav")]
|
||||
return {
|
||||
"count": len(lst),
|
||||
"prompts": lst,
|
||||
"prompt_names": [os.path.splitext(f)[0] for f in lst],
|
||||
}
|
||||
|
||||
|
||||
@app.post("/delete-prompt")
|
||||
async def delete_prompt(data: DeletePrompt):
|
||||
"""Delete a voice prompt"""
|
||||
path = os.path.join(PROMPT_FOLDER, f"{data.prompt_name}.wav")
|
||||
if not os.path.exists(path):
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Prompt tidak ditemukan"}
|
||||
)
|
||||
try:
|
||||
os.remove(path)
|
||||
return {"status": "ok", "deleted": f"{data.prompt_name}.wav"}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
|
||||
@app.post("/rename-prompt")
|
||||
async def rename_prompt(data: RenamePrompt):
|
||||
"""Rename a voice prompt"""
|
||||
old = os.path.join(PROMPT_FOLDER, f"{data.old_name}.wav")
|
||||
new = os.path.join(PROMPT_FOLDER, f"{data.new_name}.wav")
|
||||
if not os.path.exists(old):
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Prompt lama tidak ditemukan"}
|
||||
)
|
||||
if os.path.exists(new):
|
||||
return JSONResponse(
|
||||
status_code=400, content={"error": "Nama baru sudah digunakan"}
|
||||
)
|
||||
try:
|
||||
os.rename(old, new)
|
||||
return {"status": "ok", "from": data.old_name, "to": data.new_name}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
|
||||
@app.post("/tts-async")
|
||||
async def tts_async(request: Request, text: str = Form(...), prompt: str = Form(...)):
|
||||
"""Asynchronous TTS - enqueue job and return job_id"""
|
||||
client_ip = get_client_ip(request)
|
||||
if not allow_request_ip(client_ip):
|
||||
return JSONResponse(status_code=429, content={"error": "rate limit exceeded"})
|
||||
|
||||
job_id = str(uuid.uuid4())
|
||||
job_store[job_id] = {
|
||||
"status": "pending",
|
||||
"timestamp": time.time(),
|
||||
"prompt": prompt,
|
||||
"text": text,
|
||||
"client_ip": client_ip,
|
||||
}
|
||||
|
||||
# Enqueue (FIFO)
|
||||
await job_queue.put(job_id)
|
||||
|
||||
return {"status": "queued", "job_id": job_id, "check": f"/result/{job_id}"}
|
||||
|
||||
|
||||
@app.get("/result/{job_id}")
|
||||
async def tts_result(job_id: str):
|
||||
"""Get result of async TTS job"""
|
||||
job = job_store.get(job_id)
|
||||
if not job:
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Job ID tidak ditemukan"}
|
||||
)
|
||||
|
||||
# Still processing
|
||||
if job["status"] in ("pending", "processing"):
|
||||
return {
|
||||
"status": job["status"],
|
||||
"job_id": job_id,
|
||||
"worker": job.get("worker"),
|
||||
"timestamp": job.get("timestamp"),
|
||||
}
|
||||
|
||||
# Error
|
||||
if job["status"] == "error":
|
||||
return job
|
||||
|
||||
# Done - return file
|
||||
result_path = job.get("result")
|
||||
if not result_path or not os.path.exists(result_path):
|
||||
return JSONResponse(
|
||||
status_code=500,
|
||||
content={"status": "error", "error": "File hasil tidak ditemukan"},
|
||||
)
|
||||
|
||||
return JSONResponse(
|
||||
status_code=200,
|
||||
content={"status": "done", "job_id": job_id, "file": result_path},
|
||||
)
|
||||
|
||||
@app.get("/list-file")
|
||||
async def list_file():
|
||||
"""List all files inside OUTPUT_FOLDER"""
|
||||
try:
|
||||
files = [
|
||||
f for f in os.listdir(OUTPUT_FOLDER)
|
||||
if os.path.isfile(os.path.join(OUTPUT_FOLDER, f))
|
||||
]
|
||||
|
||||
# Hanya file WAV (sesuai output engine)
|
||||
wav_files = [f for f in files if f.lower().endswith(".wav")]
|
||||
|
||||
# Include metadata timestamp dari job_store
|
||||
detailed = []
|
||||
for f in wav_files:
|
||||
full_path = os.path.join(OUTPUT_FOLDER, f)
|
||||
size = os.path.getsize(full_path)
|
||||
|
||||
# Cari job yang terkait (jika ada)
|
||||
related_job = None
|
||||
for jid, job in job_store.items():
|
||||
if job.get("result") == full_path:
|
||||
related_job = {
|
||||
"job_id": jid,
|
||||
"status": job.get("status"),
|
||||
"timestamp": job.get("timestamp"),
|
||||
"prompt": job.get("prompt"),
|
||||
}
|
||||
break
|
||||
|
||||
detailed.append(
|
||||
{
|
||||
"file": f,
|
||||
"size_bytes": size,
|
||||
"path": full_path,
|
||||
"job": related_job,
|
||||
}
|
||||
)
|
||||
|
||||
return {
|
||||
"count": len(wav_files),
|
||||
"files": detailed,
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
|
||||
async def iterfile(file_path):
|
||||
with open(file_path, "rb") as f:
|
||||
chunk = f.read(4096)
|
||||
while chunk:
|
||||
yield chunk
|
||||
chunk = f.read(4096)
|
||||
|
||||
|
||||
@app.get("/file/{file_name}")
|
||||
async def get_output_file(file_name: str):
|
||||
if not file_name.endswith(".wav"):
|
||||
file_name = f"{file_name}.wav"
|
||||
file_path = os.path.join(OUTPUT_FOLDER, file_name)
|
||||
if not os.path.exists(file_path):
|
||||
return JSONResponse(status_code=404, content={"error": "File tidak ditemukan"})
|
||||
|
||||
return StreamingResponse(
|
||||
iterfile(file_path),
|
||||
media_type="audio/wav",
|
||||
headers={"Content-Disposition": f"attachment; filename={file_name}"},
|
||||
)
|
||||
|
||||
|
||||
# ===============================================
|
||||
# FILE MANAGEMENT ENDPOINTS
|
||||
# ===============================================
|
||||
@app.delete("/rm/{filename}")
|
||||
async def remove_file(filename: str):
|
||||
"""Delete a single output file"""
|
||||
if not filename.endswith(".wav"):
|
||||
filename = f"{filename}.wav"
|
||||
path = os.path.join(OUTPUT_FOLDER, filename)
|
||||
|
||||
if not os.path.exists(path):
|
||||
return JSONResponse(status_code=404, content={"error": "File tidak ditemukan"})
|
||||
|
||||
try:
|
||||
os.remove(path)
|
||||
# Remove from job_store
|
||||
for jid, job in list(job_store.items()):
|
||||
if job.get("result") == path:
|
||||
job_store.pop(jid, None)
|
||||
return {"status": "ok", "deleted": filename}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
@app.post("/cleanup")
|
||||
async def manual_cleanup():
|
||||
"""Manual cleanup - remove all output files and clear done/error jobs"""
|
||||
removed = []
|
||||
for f in os.listdir(OUTPUT_FOLDER):
|
||||
fp = os.path.join(OUTPUT_FOLDER, f)
|
||||
if os.path.isfile(fp):
|
||||
try:
|
||||
os.remove(fp)
|
||||
removed.append(f)
|
||||
except:
|
||||
pass
|
||||
|
||||
# Clear done/error jobs
|
||||
cleared = []
|
||||
for jid in list(job_store.keys()):
|
||||
if job_store[jid]["status"] in ("done", "error"):
|
||||
job_store.pop(jid, None)
|
||||
cleared.append(jid)
|
||||
|
||||
return {"status": "ok", "removed_files": removed, "jobs_cleared": cleared}
|
||||
322
py/op.py
Normal file
322
py/op.py
Normal file
@@ -0,0 +1,322 @@
|
||||
import io
|
||||
import os
|
||||
import asyncio
|
||||
from typing import Optional
|
||||
from functools import lru_cache
|
||||
|
||||
import torch
|
||||
import torchaudio as ta
|
||||
import torchaudio.functional as F
|
||||
from chatterbox.tts import ChatterboxTTS
|
||||
from huggingface_hub import hf_hub_download
|
||||
from safetensors.torch import load_file
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
import multiprocessing
|
||||
|
||||
|
||||
class TTSConfig:
|
||||
"""Configuration for TTS model and processing"""
|
||||
MODEL_REPO = "grandhigh/Chatterbox-TTS-Indonesian"
|
||||
CHECKPOINT = "t3_cfg.safetensors"
|
||||
DEVICE = "cpu"
|
||||
|
||||
# Optimized generation parameters for speed
|
||||
TEMPERATURE = 0.7
|
||||
TOP_P = 0.9
|
||||
REPETITION_PENALTY = 1.1
|
||||
|
||||
# Audio processing
|
||||
AUDIO_GAIN_DB = 0.8
|
||||
|
||||
# Performance settings
|
||||
USE_QUANTIZATION = True
|
||||
USE_TORCH_COMPILE = True
|
||||
SIMPLIFY_AUDIO_ENHANCEMENT = True
|
||||
ENABLE_CACHING = True
|
||||
|
||||
|
||||
class AudioProcessor:
|
||||
"""Audio enhancement utilities (optimized)"""
|
||||
|
||||
@staticmethod
|
||||
def generate_pink_noise_fast(shape, device):
|
||||
"""Generate pink noise for audio enhancement (vectorized)"""
|
||||
white = torch.randn(shape, device=device)
|
||||
|
||||
# Fast approximation using multi-scale filtering
|
||||
pink = white * 0.5
|
||||
|
||||
# Apply simple averaging for pink-ish spectrum
|
||||
if white.dim() == 1:
|
||||
white_2d = white.unsqueeze(0).unsqueeze(0)
|
||||
else:
|
||||
white_2d = white.unsqueeze(0) if white.dim() == 2 else white
|
||||
|
||||
# Quick low-pass filtering approximation
|
||||
kernel_size = min(3, white_2d.shape[-1])
|
||||
if kernel_size >= 2:
|
||||
filtered = torch.nn.functional.avg_pool1d(
|
||||
white_2d,
|
||||
kernel_size=kernel_size,
|
||||
stride=1,
|
||||
padding=kernel_size//2
|
||||
)
|
||||
pink += filtered.squeeze(0) * 0.3 if white.dim() == 1 else filtered.squeeze(0)
|
||||
|
||||
return pink * 0.1
|
||||
|
||||
@staticmethod
|
||||
def enhance_audio_fast(wav, sr):
|
||||
"""Apply audio enhancements with optimized operations"""
|
||||
with torch.no_grad():
|
||||
# Normalize
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / (peak + 1e-8) * 0.95
|
||||
|
||||
# Apply filters in sequence (no-grad mode for speed)
|
||||
wav = F.highpass_biquad(wav, sr, cutoff_freq=60)
|
||||
wav = F.lowpass_biquad(wav, sr, cutoff_freq=10000)
|
||||
wav = F.bass_biquad(wav, sr, gain=1.5, central_freq=200, Q=0.7)
|
||||
wav = F.treble_biquad(wav, sr, gain=-1.2, central_freq=6000, Q=0.7)
|
||||
|
||||
# Vectorized compression (faster than loop)
|
||||
threshold = 0.6
|
||||
ratio = 2.5
|
||||
abs_wav = wav.abs()
|
||||
mask = abs_wav > threshold
|
||||
wav = torch.where(
|
||||
mask,
|
||||
torch.sign(wav) * (threshold + (abs_wav - threshold) / ratio),
|
||||
wav
|
||||
)
|
||||
|
||||
wav = torch.tanh(wav * 1.08)
|
||||
|
||||
# Add pink noise (fast version)
|
||||
wav = wav + AudioProcessor.generate_pink_noise_fast(wav.shape, wav.device) * 0.0003
|
||||
wav = F.gain(wav, gain_db=TTSConfig.AUDIO_GAIN_DB)
|
||||
|
||||
# Final normalization
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / peak * 0.88
|
||||
|
||||
return wav
|
||||
|
||||
@staticmethod
|
||||
def enhance_audio_simple(wav, sr):
|
||||
"""Simplified audio enhancement for maximum speed"""
|
||||
with torch.no_grad():
|
||||
# Simple normalization and tanh saturation
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / (peak + 1e-8) * 0.95
|
||||
|
||||
# Basic filtering
|
||||
wav = F.highpass_biquad(wav, sr, cutoff_freq=80)
|
||||
wav = F.lowpass_biquad(wav, sr, cutoff_freq=8000)
|
||||
|
||||
# Soft clipping
|
||||
wav = torch.tanh(wav * 1.1)
|
||||
|
||||
# Final normalization
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / peak * 0.9
|
||||
|
||||
return wav
|
||||
|
||||
@staticmethod
|
||||
def save_tensor_to_wav(wav_tensor: torch.Tensor, sr: int, out_wav_path: str):
|
||||
"""Save a torch tensor to WAV file"""
|
||||
# Ensure float32 CPU tensor
|
||||
if wav_tensor.device.type != "cpu":
|
||||
wav_tensor = wav_tensor.cpu()
|
||||
if wav_tensor.dtype != torch.float32:
|
||||
wav_tensor = wav_tensor.type(torch.float32)
|
||||
|
||||
# torchaudio.save requires shape [channels, samples]
|
||||
if wav_tensor.dim() == 1:
|
||||
wav_out = wav_tensor.unsqueeze(0)
|
||||
else:
|
||||
wav_out = wav_tensor
|
||||
|
||||
# Save directly as WAV
|
||||
ta.save(out_wav_path, wav_out, sr, format="wav")
|
||||
|
||||
@staticmethod
|
||||
def tensor_to_wav_buffer(wav_tensor: torch.Tensor, sr: int) -> io.BytesIO:
|
||||
"""Convert torch tensor to WAV buffer"""
|
||||
buf = io.BytesIO()
|
||||
if wav_tensor.dim() == 1:
|
||||
wav_out = wav_tensor.unsqueeze(0)
|
||||
else:
|
||||
wav_out = wav_tensor
|
||||
ta.save(buf, wav_out, sr, format="wav")
|
||||
buf.seek(0)
|
||||
return buf
|
||||
|
||||
|
||||
class TTSEngine:
|
||||
"""Main TTS engine with model management (optimized)"""
|
||||
|
||||
def __init__(self, config: TTSConfig, thread_pool: Optional[ThreadPoolExecutor] = None):
|
||||
self.config = config
|
||||
self.thread_pool = thread_pool or ThreadPoolExecutor(
|
||||
max_workers=multiprocessing.cpu_count()
|
||||
)
|
||||
self.model = None
|
||||
self.model_lock = asyncio.Lock()
|
||||
self.sr = None
|
||||
self.audio_prompt_cache = {} if config.ENABLE_CACHING else None
|
||||
|
||||
def load_model(self):
|
||||
"""Load the TTS model and checkpoint with optimizations"""
|
||||
print("Loading model...")
|
||||
self.model = ChatterboxTTS.from_pretrained(device=self.config.DEVICE)
|
||||
ckpt = hf_hub_download(repo_id=self.config.MODEL_REPO, filename=self.config.CHECKPOINT)
|
||||
state = load_file(ckpt, device=self.config.DEVICE)
|
||||
|
||||
self.model.t3.to(self.config.DEVICE).load_state_dict(state)
|
||||
self.model.t3.eval()
|
||||
|
||||
# Apply quantization for CPU speed
|
||||
if self.config.USE_QUANTIZATION:
|
||||
print("Applying dynamic quantization...")
|
||||
self.model.t3 = torch.quantization.quantize_dynamic(
|
||||
self.model.t3,
|
||||
{torch.nn.Linear, torch.nn.LSTM, torch.nn.GRU},
|
||||
dtype=torch.qint8
|
||||
)
|
||||
|
||||
# Apply torch.compile if available (PyTorch 2.0+)
|
||||
if self.config.USE_TORCH_COMPILE and hasattr(torch, 'compile'):
|
||||
print("Compiling model with torch.compile...")
|
||||
try:
|
||||
self.model.t3 = torch.compile(self.model.t3, mode="reduce-overhead")
|
||||
except Exception as e:
|
||||
print(f"Torch compile failed: {e}, continuing without compilation")
|
||||
|
||||
# Disable dropout for inference
|
||||
for m in self.model.t3.modules():
|
||||
if hasattr(m, "training"):
|
||||
m.training = False
|
||||
if isinstance(m, torch.nn.Dropout):
|
||||
m.p = 0
|
||||
|
||||
self.sr = self.model.sr
|
||||
print("Model ready (optimized for CPU).")
|
||||
|
||||
def _load_audio_prompt(self, audio_prompt_path: str):
|
||||
"""Load audio prompt with optional caching"""
|
||||
if self.config.ENABLE_CACHING and audio_prompt_path in self.audio_prompt_cache:
|
||||
return self.audio_prompt_cache[audio_prompt_path]
|
||||
|
||||
# Load normally
|
||||
# Note: actual loading is done inside model.generate
|
||||
if self.config.ENABLE_CACHING:
|
||||
self.audio_prompt_cache[audio_prompt_path] = audio_prompt_path
|
||||
|
||||
return audio_prompt_path
|
||||
|
||||
async def generate(self, text: str, audio_prompt_path: str) -> torch.Tensor:
|
||||
"""Generate audio from text with voice prompt"""
|
||||
async with self.model_lock:
|
||||
# Cache audio prompt path
|
||||
cached_prompt = self._load_audio_prompt(audio_prompt_path)
|
||||
|
||||
def blocking_generate():
|
||||
with torch.no_grad():
|
||||
# Set number of threads for CPU inference
|
||||
torch.set_num_threads(multiprocessing.cpu_count())
|
||||
|
||||
return self.model.generate(
|
||||
text,
|
||||
audio_prompt_path=cached_prompt,
|
||||
temperature=self.config.TEMPERATURE,
|
||||
top_p=self.config.TOP_P,
|
||||
repetition_penalty=self.config.REPETITION_PENALTY,
|
||||
)
|
||||
|
||||
wav = await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
blocking_generate
|
||||
)
|
||||
return wav
|
||||
|
||||
async def generate_and_enhance(self, text: str, audio_prompt_path: str) -> torch.Tensor:
|
||||
"""Generate and enhance audio"""
|
||||
wav = await self.generate(text, audio_prompt_path)
|
||||
|
||||
# Choose enhancement method based on config
|
||||
enhance_func = (
|
||||
AudioProcessor.enhance_audio_simple
|
||||
if self.config.SIMPLIFY_AUDIO_ENHANCEMENT
|
||||
else AudioProcessor.enhance_audio_fast
|
||||
)
|
||||
|
||||
# Enhance audio (CPU-bound)
|
||||
wav = await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
lambda: enhance_func(wav.cpu(), self.sr)
|
||||
)
|
||||
|
||||
return wav
|
||||
|
||||
async def generate_to_file(self, text: str, audio_prompt_path: str, output_path: str):
|
||||
"""Generate audio and save to file"""
|
||||
wav = await self.generate_and_enhance(text, audio_prompt_path)
|
||||
|
||||
# Save to WAV
|
||||
await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
AudioProcessor.save_tensor_to_wav,
|
||||
wav,
|
||||
self.sr,
|
||||
output_path
|
||||
)
|
||||
|
||||
async def generate_to_buffer(self, text: str, audio_prompt_path: str) -> io.BytesIO:
|
||||
"""Generate audio and return as WAV buffer"""
|
||||
wav = await self.generate_and_enhance(text, audio_prompt_path)
|
||||
|
||||
# Convert to buffer
|
||||
buffer = await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
AudioProcessor.tensor_to_wav_buffer,
|
||||
wav,
|
||||
self.sr
|
||||
)
|
||||
return buffer
|
||||
|
||||
def clear_cache(self):
|
||||
"""Clear audio prompt cache"""
|
||||
if self.audio_prompt_cache:
|
||||
self.audio_prompt_cache.clear()
|
||||
|
||||
|
||||
# Example usage
|
||||
async def main():
|
||||
"""Example usage of optimized TTS engine"""
|
||||
config = TTSConfig()
|
||||
engine = TTSEngine(config)
|
||||
|
||||
# Load model once
|
||||
engine.load_model()
|
||||
|
||||
# Generate audio
|
||||
text = "Halo, ini adalah tes text to speech dalam bahasa Indonesia."
|
||||
audio_prompt = "path/to/your/voice_sample.wav"
|
||||
|
||||
# Generate to file
|
||||
await engine.generate_to_file(text, audio_prompt, "output.wav")
|
||||
print("Audio generated successfully!")
|
||||
|
||||
# Or generate to buffer
|
||||
buffer = await engine.generate_to_buffer(text, audio_prompt)
|
||||
print(f"Audio buffer size: {len(buffer.getvalue())} bytes")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
213
py/tts_util.py
Normal file
213
py/tts_util.py
Normal file
@@ -0,0 +1,213 @@
|
||||
import io
|
||||
import os
|
||||
import asyncio
|
||||
from typing import Optional
|
||||
|
||||
import torch
|
||||
import torchaudio as ta
|
||||
import torchaudio.functional as F
|
||||
from chatterbox.tts import ChatterboxTTS
|
||||
from huggingface_hub import hf_hub_download
|
||||
from safetensors.torch import load_file
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
|
||||
|
||||
class TTSConfig:
|
||||
"""Configuration for TTS model and processing"""
|
||||
MODEL_REPO = "grandhigh/Chatterbox-TTS-Indonesian"
|
||||
CHECKPOINT = "t3_cfg.safetensors"
|
||||
DEVICE = "cpu"
|
||||
|
||||
# Generation parameters
|
||||
TEMPERATURE = 0.65
|
||||
TOP_P = 0.88
|
||||
REPETITION_PENALTY = 1.25
|
||||
|
||||
# Audio processing
|
||||
AUDIO_GAIN_DB = 0.8
|
||||
|
||||
|
||||
class AudioProcessor:
|
||||
"""Audio enhancement utilities"""
|
||||
|
||||
@staticmethod
|
||||
def generate_pink_noise(shape, device):
|
||||
"""Generate pink noise for audio enhancement"""
|
||||
white = torch.randn(shape, device=device)
|
||||
pink = torch.zeros_like(white)
|
||||
b = torch.zeros(7)
|
||||
|
||||
if len(shape) == 1:
|
||||
for j in range(shape[0]):
|
||||
w = white[j].item()
|
||||
b[0] = 0.99886 * b[0] + w * 0.0555179
|
||||
b[1] = 0.99332 * b[1] + w * 0.0750759
|
||||
b[2] = 0.96900 * b[2] + w * 0.1538520
|
||||
b[3] = 0.86650 * b[3] + w * 0.3104856
|
||||
b[4] = 0.55000 * b[4] + w * 0.5329522
|
||||
b[5] = -0.7616 * b[5] - w * 0.0168980
|
||||
pink[j] = (b[0]+b[1]+b[2]+b[3]+b[4]+b[5]+b[6] + w*0.5362) * 0.11
|
||||
b[6] = w * 0.115926
|
||||
else:
|
||||
for i in range(shape[0]):
|
||||
b = torch.zeros(7)
|
||||
for j in range(shape[1]):
|
||||
w = white[i, j].item()
|
||||
b[0] = 0.99886 * b[0] + w * 0.0555179
|
||||
b[1] = 0.99332 * b[1] + w * 0.0750759
|
||||
b[2] = 0.96900 * b[2] + w * 0.1538520
|
||||
b[3] = 0.86650 * b[3] + w * 0.3104856
|
||||
b[4] = 0.55000 * b[4] + w * 0.5329522
|
||||
b[5] = -0.7616 * b[5] - w * 0.0168980
|
||||
pink[i, j] = (b[0]+b[1]+b[2]+b[3]+b[4]+b[5]+b[6] + w*0.5362) * 0.11
|
||||
b[6] = w * 0.115926
|
||||
|
||||
return pink * 0.1
|
||||
|
||||
@staticmethod
|
||||
def enhance_audio(wav, sr):
|
||||
"""Apply audio enhancements: normalization, filtering, compression"""
|
||||
# Normalize
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / (peak + 1e-8) * 0.95
|
||||
|
||||
# Apply filters
|
||||
wav = F.highpass_biquad(wav, sr, cutoff_freq=60)
|
||||
wav = F.lowpass_biquad(wav, sr, cutoff_freq=10000)
|
||||
wav = F.bass_biquad(wav, sr, gain=1.5, central_freq=200, Q=0.7)
|
||||
wav = F.treble_biquad(wav, sr, gain=-1.2, central_freq=6000, Q=0.7)
|
||||
|
||||
# Compression
|
||||
threshold = 0.6
|
||||
ratio = 2.5
|
||||
abs_wav = wav.abs()
|
||||
compressed = wav.clone()
|
||||
mask = abs_wav > threshold
|
||||
compressed[mask] = torch.sign(wav[mask]) * (threshold + (abs_wav[mask] - threshold) / ratio)
|
||||
|
||||
wav = compressed
|
||||
wav = torch.tanh(wav * 1.08)
|
||||
|
||||
# Add pink noise
|
||||
wav = wav + AudioProcessor.generate_pink_noise(wav.shape, wav.device) * 0.0003
|
||||
wav = F.gain(wav, gain_db=TTSConfig.AUDIO_GAIN_DB)
|
||||
|
||||
# Final normalization
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / peak * 0.88
|
||||
|
||||
return wav
|
||||
|
||||
@staticmethod
|
||||
def save_tensor_to_wav(wav_tensor: torch.Tensor, sr: int, out_wav_path: str):
|
||||
"""Save a torch tensor to WAV file"""
|
||||
# Ensure float32 CPU tensor
|
||||
if wav_tensor.device.type != "cpu":
|
||||
wav_tensor = wav_tensor.cpu()
|
||||
if wav_tensor.dtype != torch.float32:
|
||||
wav_tensor = wav_tensor.type(torch.float32)
|
||||
|
||||
# torchaudio.save requires shape [channels, samples]
|
||||
if wav_tensor.dim() == 1:
|
||||
wav_out = wav_tensor.unsqueeze(0)
|
||||
else:
|
||||
wav_out = wav_tensor
|
||||
|
||||
# Save directly as WAV
|
||||
ta.save(out_wav_path, wav_out, sr, format="wav")
|
||||
|
||||
@staticmethod
|
||||
def tensor_to_wav_buffer(wav_tensor: torch.Tensor, sr: int) -> io.BytesIO:
|
||||
"""Convert torch tensor to WAV buffer"""
|
||||
buf = io.BytesIO()
|
||||
if wav_tensor.dim() == 1:
|
||||
wav_out = wav_tensor.unsqueeze(0)
|
||||
else:
|
||||
wav_out = wav_tensor
|
||||
ta.save(buf, wav_out, sr, format="wav")
|
||||
buf.seek(0)
|
||||
return buf
|
||||
|
||||
|
||||
class TTSEngine:
|
||||
"""Main TTS engine with model management"""
|
||||
|
||||
def __init__(self, config: TTSConfig, thread_pool: ThreadPoolExecutor):
|
||||
self.config = config
|
||||
self.thread_pool = thread_pool
|
||||
self.model = None
|
||||
self.model_lock = asyncio.Lock()
|
||||
self.sr = None
|
||||
|
||||
def load_model(self):
|
||||
"""Load the TTS model and checkpoint"""
|
||||
print("Loading model...")
|
||||
self.model = ChatterboxTTS.from_pretrained(device=self.config.DEVICE)
|
||||
ckpt = hf_hub_download(repo_id=self.config.MODEL_REPO, filename=self.config.CHECKPOINT)
|
||||
state = load_file(ckpt, device=self.config.DEVICE)
|
||||
|
||||
self.model.t3.to(self.config.DEVICE).load_state_dict(state)
|
||||
self.model.t3.eval()
|
||||
|
||||
# Disable dropout
|
||||
for m in self.model.t3.modules():
|
||||
if hasattr(m, "training"):
|
||||
m.training = False
|
||||
if isinstance(m, torch.nn.Dropout):
|
||||
m.p = 0
|
||||
|
||||
self.sr = self.model.sr
|
||||
print("Model ready.")
|
||||
|
||||
async def generate(self, text: str, audio_prompt_path: str) -> torch.Tensor:
|
||||
"""Generate audio from text with voice prompt"""
|
||||
async with self.model_lock:
|
||||
def blocking_generate():
|
||||
with torch.no_grad():
|
||||
return self.model.generate(
|
||||
text,
|
||||
audio_prompt_path=audio_prompt_path,
|
||||
temperature=self.config.TEMPERATURE,
|
||||
top_p=self.config.TOP_P,
|
||||
repetition_penalty=self.config.REPETITION_PENALTY,
|
||||
)
|
||||
|
||||
wav = await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
blocking_generate
|
||||
)
|
||||
return wav
|
||||
|
||||
async def generate_and_enhance(self, text: str, audio_prompt_path: str) -> torch.Tensor:
|
||||
"""Generate and enhance audio"""
|
||||
wav = await self.generate(text, audio_prompt_path)
|
||||
|
||||
# Enhance audio (CPU-bound)
|
||||
wav = await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
lambda: AudioProcessor.enhance_audio(wav.cpu(), self.sr)
|
||||
)
|
||||
|
||||
return wav
|
||||
|
||||
async def generate_to_file(self, text: str, audio_prompt_path: str, output_path: str):
|
||||
"""Generate audio and save to file"""
|
||||
wav = await self.generate_and_enhance(text, audio_prompt_path)
|
||||
|
||||
# Save to WAV
|
||||
await asyncio.get_event_loop().run_in_executor(
|
||||
self.thread_pool,
|
||||
AudioProcessor.save_tensor_to_wav,
|
||||
wav,
|
||||
self.sr,
|
||||
output_path
|
||||
)
|
||||
|
||||
async def generate_to_buffer(self, text: str, audio_prompt_path: str) -> io.BytesIO:
|
||||
"""Generate audio and return as WAV buffer"""
|
||||
wav = await self.generate_and_enhance(text, audio_prompt_path)
|
||||
|
||||
# Convert to buffer
|
||||
return AudioProcessor.tensor_to_wav_buffer(wav, self.sr)
|
||||
17
src/App.tsx
Normal file
17
src/App.tsx
Normal file
@@ -0,0 +1,17 @@
|
||||
import "@mantine/core/styles.css";
|
||||
import "@mantine/notifications/styles.css";
|
||||
import { Notifications } from "@mantine/notifications";
|
||||
import { ModalsProvider } from "@mantine/modals";
|
||||
import { MantineProvider } from "@mantine/core";
|
||||
import AppRoutes from "./AppRoutes";
|
||||
|
||||
export function App() {
|
||||
return (
|
||||
<MantineProvider defaultColorScheme="dark">
|
||||
<Notifications />
|
||||
<ModalsProvider>
|
||||
<AppRoutes />
|
||||
</ModalsProvider>
|
||||
</MantineProvider>
|
||||
);
|
||||
}
|
||||
226
src/AppRoutes.tsx
Normal file
226
src/AppRoutes.tsx
Normal file
@@ -0,0 +1,226 @@
|
||||
// ⚡ AUTO-GENERATED — DO NOT EDIT
|
||||
import React from "react";
|
||||
import { BrowserRouter, Routes, Route, Navigate } from "react-router-dom";
|
||||
import { Skeleton } from "@mantine/core";
|
||||
|
||||
const SkeletonLoading = () => {
|
||||
return (
|
||||
<div style={{ padding: "20px" }}>
|
||||
{Array.from({ length: 5 }, (_, i) => (
|
||||
<Skeleton key={i} height={70} radius="md" animate={true} mb="sm" />
|
||||
))}
|
||||
</div>
|
||||
);
|
||||
};
|
||||
|
||||
/**
|
||||
* Prefetch lazy component:
|
||||
* - Hover
|
||||
* - Visible (viewport)
|
||||
* - Browser idle
|
||||
*/
|
||||
export function attachPrefetch(el: HTMLElement | null, preload: () => void) {
|
||||
if (!el) return;
|
||||
let done = false;
|
||||
|
||||
const run = () => {
|
||||
if (done) return;
|
||||
done = true;
|
||||
preload();
|
||||
};
|
||||
|
||||
// 1) On hover
|
||||
el.addEventListener("pointerenter", run, { once: true });
|
||||
|
||||
// 2) On visible (IntersectionObserver)
|
||||
const io = new IntersectionObserver((entries) => {
|
||||
if (entries && entries[0] && entries[0].isIntersecting) {
|
||||
run();
|
||||
io.disconnect();
|
||||
}
|
||||
});
|
||||
io.observe(el);
|
||||
|
||||
// 3) On idle
|
||||
if ("requestIdleCallback" in window) {
|
||||
requestIdleCallback(() => run());
|
||||
} else {
|
||||
setTimeout(run, 200);
|
||||
}
|
||||
}
|
||||
|
||||
const Login = {
|
||||
Component: React.lazy(() => import("./pages/Login")),
|
||||
preload: () => import("./pages/Login"),
|
||||
};
|
||||
|
||||
const Home = {
|
||||
Component: React.lazy(() => import("./pages/Home")),
|
||||
preload: () => import("./pages/Home"),
|
||||
};
|
||||
|
||||
const Register = {
|
||||
Component: React.lazy(() => import("./pages/Register")),
|
||||
preload: () => import("./pages/Register"),
|
||||
};
|
||||
|
||||
const ChatterboxTtsPage = {
|
||||
Component: React.lazy(
|
||||
() => import("./pages/dashboard/chatterbox-tts/chatterbox-tts-_page"),
|
||||
),
|
||||
preload: () =>
|
||||
import("./pages/dashboard/chatterbox-tts/chatterbox-tts-_page"),
|
||||
};
|
||||
|
||||
const ChatterboxTtsLayout = {
|
||||
Component: React.lazy(
|
||||
() => import("./pages/dashboard/chatterbox-tts/chatterbox-tts_layout"),
|
||||
),
|
||||
preload: () =>
|
||||
import("./pages/dashboard/chatterbox-tts/chatterbox-tts_layout"),
|
||||
};
|
||||
|
||||
const ApikeyPage = {
|
||||
Component: React.lazy(() => import("./pages/dashboard/apikey/apikey_page")),
|
||||
preload: () => import("./pages/dashboard/apikey/apikey_page"),
|
||||
};
|
||||
|
||||
const DashboardPage = {
|
||||
Component: React.lazy(() => import("./pages/dashboard/dashboard_page")),
|
||||
preload: () => import("./pages/dashboard/dashboard_page"),
|
||||
};
|
||||
|
||||
const TiktokTtsPage = {
|
||||
Component: React.lazy(
|
||||
() => import("./pages/dashboard/tiktok-tts/tiktok_tts_page"),
|
||||
),
|
||||
preload: () => import("./pages/dashboard/tiktok-tts/tiktok_tts_page"),
|
||||
};
|
||||
|
||||
const TiktokTtsLayout = {
|
||||
Component: React.lazy(
|
||||
() => import("./pages/dashboard/tiktok-tts/tiktok_tts_layout"),
|
||||
),
|
||||
preload: () => import("./pages/dashboard/tiktok-tts/tiktok_tts_layout"),
|
||||
};
|
||||
|
||||
const DashboardLayout = {
|
||||
Component: React.lazy(() => import("./pages/dashboard/dashboard_layout")),
|
||||
preload: () => import("./pages/dashboard/dashboard_layout"),
|
||||
};
|
||||
|
||||
const NotFound = {
|
||||
Component: React.lazy(() => import("./pages/NotFound")),
|
||||
preload: () => import("./pages/NotFound"),
|
||||
};
|
||||
|
||||
export default function AppRoutes() {
|
||||
return (
|
||||
<BrowserRouter>
|
||||
<Routes>
|
||||
<Route
|
||||
path="/login"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<Login.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
|
||||
<Route
|
||||
path="/"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<Home.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
|
||||
<Route
|
||||
path="/register"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<Register.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
|
||||
<Route path="/dashboard" element={<DashboardLayout.Component />}>
|
||||
<Route index element={<DashboardPage.Component />} />
|
||||
|
||||
<Route
|
||||
path="/dashboard/chatterbox-tts"
|
||||
element={<ChatterboxTtsLayout.Component />}
|
||||
>
|
||||
<Route
|
||||
index
|
||||
element={
|
||||
<Navigate
|
||||
to="/dashboard/chatterbox-tts/chatterbox-tts-_page"
|
||||
replace
|
||||
/>
|
||||
}
|
||||
/>
|
||||
|
||||
<Route
|
||||
path="/dashboard/chatterbox-tts/chatterbox-tts"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<ChatterboxTtsPage.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
</Route>
|
||||
|
||||
<Route
|
||||
path="/dashboard/apikey/apikey"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<ApikeyPage.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
|
||||
<Route
|
||||
path="/dashboard/dashboard"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<DashboardPage.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
|
||||
<Route
|
||||
path="/dashboard/tiktok-tts"
|
||||
element={<TiktokTtsLayout.Component />}
|
||||
>
|
||||
<Route
|
||||
index
|
||||
element={
|
||||
<Navigate to="/dashboard/tiktok-tts/tiktok_tts_page" replace />
|
||||
}
|
||||
/>
|
||||
|
||||
<Route
|
||||
path="/dashboard/tiktok-tts/tiktok-tts"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<TiktokTtsPage.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
</Route>
|
||||
</Route>
|
||||
|
||||
<Route
|
||||
path="/*"
|
||||
element={
|
||||
<React.Suspense fallback={<SkeletonLoading />}>
|
||||
<NotFound.Component />
|
||||
</React.Suspense>
|
||||
}
|
||||
/>
|
||||
</Routes>
|
||||
</BrowserRouter>
|
||||
);
|
||||
}
|
||||
443
src/Landing.tsx
Normal file
443
src/Landing.tsx
Normal file
@@ -0,0 +1,443 @@
|
||||
import clientRoutes from "./clientRoutes";
|
||||
|
||||
export function LandingPage() {
|
||||
return (
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charSet="UTF-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<title>NexaFlow - Modern AI Solutions</title>
|
||||
|
||||
<style>{`
|
||||
* {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, sans-serif;
|
||||
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
color: #fff;
|
||||
overflow-x: hidden;
|
||||
}
|
||||
|
||||
.container {
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
padding: 0 20px;
|
||||
}
|
||||
|
||||
/* Navbar */
|
||||
nav {
|
||||
padding: 20px 0;
|
||||
position: fixed;
|
||||
width: 100%;
|
||||
top: 0;
|
||||
z-index: 1000;
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
backdrop-filter: blur(10px);
|
||||
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
|
||||
}
|
||||
|
||||
.nav-content {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.logo {
|
||||
font-size: 24px;
|
||||
font-weight: 700;
|
||||
background: linear-gradient(45deg, #fff, #e0e0e0);
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
background-clip: text;
|
||||
}
|
||||
|
||||
.nav-links {
|
||||
display: flex;
|
||||
gap: 30px;
|
||||
list-style: none;
|
||||
}
|
||||
|
||||
.nav-links a {
|
||||
color: #fff;
|
||||
text-decoration: none;
|
||||
font-weight: 500;
|
||||
transition: opacity 0.3s ease;
|
||||
}
|
||||
|
||||
.nav-links a:hover {
|
||||
opacity: 0.7;
|
||||
}
|
||||
|
||||
.cta-nav {
|
||||
padding: 10px 24px;
|
||||
background: #260c668a;
|
||||
color: #667eea;
|
||||
border-radius: 25px;
|
||||
font-weight: 600;
|
||||
transition: transform 0.3s ease, box-shadow 0.3s ease;
|
||||
}
|
||||
|
||||
.cta-nav:hover {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.3);
|
||||
}
|
||||
|
||||
/* Hero Section */
|
||||
.hero {
|
||||
padding: 150px 0 100px;
|
||||
text-align: center;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.hero h1 {
|
||||
font-size: 64px;
|
||||
font-weight: 800;
|
||||
margin-bottom: 20px;
|
||||
line-height: 1.2;
|
||||
animation: fadeInUp 1s ease;
|
||||
}
|
||||
|
||||
.hero p {
|
||||
font-size: 20px;
|
||||
margin-bottom: 40px;
|
||||
opacity: 0.9;
|
||||
max-width: 600px;
|
||||
margin-left: auto;
|
||||
margin-right: auto;
|
||||
animation: fadeInUp 1s ease 0.2s backwards;
|
||||
}
|
||||
|
||||
.hero-buttons {
|
||||
display: flex;
|
||||
gap: 20px;
|
||||
justify-content: center;
|
||||
animation: fadeInUp 1s ease 0.4s backwards;
|
||||
}
|
||||
|
||||
.btn {
|
||||
padding: 16px 40px;
|
||||
border-radius: 30px;
|
||||
font-size: 16px;
|
||||
font-weight: 600;
|
||||
text-decoration: none;
|
||||
transition: all 0.3s ease;
|
||||
cursor: pointer;
|
||||
border: none;
|
||||
}
|
||||
|
||||
.btn-primary {
|
||||
background: #fff;
|
||||
color: #667eea;
|
||||
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
|
||||
.btn-primary:hover {
|
||||
transform: translateY(-3px);
|
||||
box-shadow: 0 15px 40px rgba(0, 0, 0, 0.3);
|
||||
}
|
||||
|
||||
.btn-secondary {
|
||||
background: transparent;
|
||||
color: #fff;
|
||||
border: 2px solid #fff;
|
||||
}
|
||||
|
||||
.btn-secondary:hover {
|
||||
background: #fff;
|
||||
color: #667eea;
|
||||
}
|
||||
|
||||
/* Features Section */
|
||||
.features {
|
||||
padding: 100px 0;
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
backdrop-filter: blur(10px);
|
||||
}
|
||||
|
||||
.features h2 {
|
||||
text-align: center;
|
||||
font-size: 48px;
|
||||
margin-bottom: 60px;
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.features-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(300px, 1fr));
|
||||
gap: 40px;
|
||||
}
|
||||
|
||||
.feature-card {
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
backdrop-filter: blur(10px);
|
||||
padding: 40px;
|
||||
border-radius: 20px;
|
||||
border: 1px solid rgba(255, 255, 255, 0.2);
|
||||
transition: transform 0.3s ease, box-shadow 0.3s ease;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.feature-card:hover {
|
||||
transform: translateY(-10px);
|
||||
box-shadow: 0 20px 50px rgba(0, 0, 0, 0.3);
|
||||
}
|
||||
|
||||
.feature-icon {
|
||||
font-size: 48px;
|
||||
margin-bottom: 20px;
|
||||
display: inline-block;
|
||||
animation: float 3s ease-in-out infinite;
|
||||
}
|
||||
|
||||
.feature-card:nth-child(2) .feature-icon {
|
||||
animation-delay: 0.5s;
|
||||
}
|
||||
|
||||
.feature-card:nth-child(3) .feature-icon {
|
||||
animation-delay: 1s;
|
||||
}
|
||||
|
||||
.feature-card h3 {
|
||||
font-size: 24px;
|
||||
margin-bottom: 15px;
|
||||
}
|
||||
|
||||
.feature-card p {
|
||||
opacity: 0.9;
|
||||
line-height: 1.6;
|
||||
}
|
||||
|
||||
/* Stats Section */
|
||||
.stats {
|
||||
padding: 80px 0;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.stats-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
||||
gap: 40px;
|
||||
}
|
||||
|
||||
.stat-item h3 {
|
||||
font-size: 48px;
|
||||
font-weight: 800;
|
||||
margin-bottom: 10px;
|
||||
background: linear-gradient(45deg, #fff, #f0f0f0);
|
||||
-webkit-background-clip: text;
|
||||
-webkit-text-fill-color: transparent;
|
||||
background-clip: text;
|
||||
}
|
||||
|
||||
.stat-item p {
|
||||
opacity: 0.9;
|
||||
font-size: 18px;
|
||||
}
|
||||
|
||||
/* Footer */
|
||||
footer {
|
||||
padding: 60px 0;
|
||||
text-align: center;
|
||||
background: rgba(0, 0, 0, 0.2);
|
||||
backdrop-filter: blur(10px);
|
||||
}
|
||||
|
||||
footer p {
|
||||
opacity: 0.8;
|
||||
margin-bottom: 20px;
|
||||
}
|
||||
|
||||
.social-links {
|
||||
display: flex;
|
||||
gap: 20px;
|
||||
justify-content: center;
|
||||
margin-top: 30px;
|
||||
}
|
||||
|
||||
.social-links a {
|
||||
width: 50px;
|
||||
height: 50px;
|
||||
border-radius: 50%;
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
color: #fff;
|
||||
text-decoration: none;
|
||||
font-size: 20px;
|
||||
transition: all 0.3s ease;
|
||||
border: 1px solid rgba(255, 255, 255, 0.2);
|
||||
}
|
||||
|
||||
.social-links a:hover {
|
||||
background: #fff;
|
||||
color: #667eea;
|
||||
transform: translateY(-5px);
|
||||
}
|
||||
|
||||
/* Animations */
|
||||
@keyframes fadeInUp {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateY(30px);
|
||||
}
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes float {
|
||||
0%, 100% {
|
||||
transform: translateY(0);
|
||||
}
|
||||
50% {
|
||||
transform: translateY(-20px);
|
||||
}
|
||||
}
|
||||
|
||||
/* Responsive */
|
||||
@media (max-width: 768px) {
|
||||
.nav-links {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.hero h1 {
|
||||
font-size: 40px;
|
||||
}
|
||||
|
||||
.hero p {
|
||||
font-size: 18px;
|
||||
}
|
||||
|
||||
.hero-buttons {
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.features h2 {
|
||||
font-size: 36px;
|
||||
}
|
||||
}
|
||||
`}</style>
|
||||
</head>
|
||||
<body>
|
||||
<nav>
|
||||
<div className="container">
|
||||
<div className="nav-content">
|
||||
<div className="logo">NexaFlow</div>
|
||||
<ul className="nav-links">
|
||||
<li>
|
||||
<a href="#features">Features</a>
|
||||
</li>
|
||||
<li>
|
||||
<a href="#about">About</a>
|
||||
</li>
|
||||
<li>
|
||||
<a href="#contact">Contact</a>
|
||||
</li>
|
||||
<li>
|
||||
<a href={clientRoutes["/dashboard"]} className="cta-nav">
|
||||
Get Started
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
</nav>
|
||||
|
||||
<section className="hero">
|
||||
<div className="container">
|
||||
<h1>Transform Your Workflow with AI</h1>
|
||||
<p>
|
||||
Powerful automation and intelligent insights to boost your
|
||||
productivity and streamline operations
|
||||
</p>
|
||||
<div className="hero-buttons">
|
||||
<a href="#" className="btn btn-primary">
|
||||
Start Free Trial
|
||||
</a>
|
||||
<a href="#" className="btn btn-secondary">
|
||||
Watch Demo
|
||||
</a>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="features" id="features">
|
||||
<div className="container">
|
||||
<h2>Why Choose NexaFlow?</h2>
|
||||
<div className="features-grid">
|
||||
<div className="feature-card">
|
||||
<div className="feature-icon">⚡</div>
|
||||
<h3>Lightning Fast</h3>
|
||||
<p>
|
||||
Experience blazing fast performance with our optimized
|
||||
infrastructure and cutting-edge technology
|
||||
</p>
|
||||
</div>
|
||||
<div className="feature-card">
|
||||
<div className="feature-icon">🔒</div>
|
||||
<h3>Secure & Reliable</h3>
|
||||
<p>
|
||||
Enterprise-grade security with 99.9% uptime guarantee to keep
|
||||
your data safe and accessible
|
||||
</p>
|
||||
</div>
|
||||
<div className="feature-card">
|
||||
<div className="feature-icon">🎯</div>
|
||||
<h3>Smart Analytics</h3>
|
||||
<p>
|
||||
Gain actionable insights with AI-powered analytics and make
|
||||
data-driven decisions effortlessly
|
||||
</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<section className="stats">
|
||||
<div className="container">
|
||||
<div className="stats-grid">
|
||||
<div className="stat-item">
|
||||
<h3>50K+</h3>
|
||||
<p>Active Users</p>
|
||||
</div>
|
||||
<div className="stat-item">
|
||||
<h3>99.9%</h3>
|
||||
<p>Uptime</p>
|
||||
</div>
|
||||
<div className="stat-item">
|
||||
<h3>24/7</h3>
|
||||
<p>Support</p>
|
||||
</div>
|
||||
<div className="stat-item">
|
||||
<h3>150+</h3>
|
||||
<p>Integrations</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<footer>
|
||||
<div className="container">
|
||||
<div className="logo">NexaFlow</div>
|
||||
<p>Empowering businesses with intelligent automation</p>
|
||||
<div className="social-links">
|
||||
<a href="#">𝕏</a>
|
||||
<a href="#">in</a>
|
||||
<a href="#">f</a>
|
||||
</div>
|
||||
<p style={{ marginTop: "30px", fontSize: "14px" }}>
|
||||
© 2025 NexaFlow. All rights reserved.
|
||||
</p>
|
||||
</div>
|
||||
</footer>
|
||||
</body>
|
||||
</html>
|
||||
);
|
||||
}
|
||||
15
src/clientRoutes.ts
Normal file
15
src/clientRoutes.ts
Normal file
@@ -0,0 +1,15 @@
|
||||
// AUTO-GENERATED
|
||||
const clientRoutes = {
|
||||
"/login": "/login",
|
||||
"/": "/",
|
||||
"/register": "/register",
|
||||
"/dashboard": "/dashboard",
|
||||
"/dashboard/chatterbox-tts": "/dashboard/chatterbox-tts",
|
||||
"/dashboard/chatterbox-tts/chatterbox-tts": "/dashboard/chatterbox-tts/chatterbox-tts",
|
||||
"/dashboard/apikey/apikey": "/dashboard/apikey/apikey",
|
||||
"/dashboard/dashboard": "/dashboard/dashboard",
|
||||
"/dashboard/tiktok-tts": "/dashboard/tiktok-tts",
|
||||
"/dashboard/tiktok-tts/tiktok-tts": "/dashboard/tiktok-tts/tiktok-tts",
|
||||
"/*": "/*"
|
||||
} as const;
|
||||
export default clientRoutes;
|
||||
25
src/components/ProtectedRoute.tsx
Normal file
25
src/components/ProtectedRoute.tsx
Normal file
@@ -0,0 +1,25 @@
|
||||
import { useEffect, useState } from "react";
|
||||
import { Navigate, Outlet } from "react-router-dom";
|
||||
import clientRoutes from "@/clientRoutes";
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
|
||||
export default function ProtectedRoute() {
|
||||
const [isAuthenticated, setIsAuthenticated] = useState<boolean | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
async function checkSession() {
|
||||
try {
|
||||
// backend otomatis baca cookie JWT dari request
|
||||
const res = await apiFetch.api.user.find.get();
|
||||
setIsAuthenticated(res.status === 200);
|
||||
} catch {
|
||||
setIsAuthenticated(false);
|
||||
}
|
||||
}
|
||||
checkSession();
|
||||
}, []);
|
||||
|
||||
if (isAuthenticated === null) return null;
|
||||
if (!isAuthenticated) return <Navigate to={clientRoutes["/login"]} replace />;
|
||||
return <Outlet />;
|
||||
}
|
||||
26
src/frontend.tsx
Normal file
26
src/frontend.tsx
Normal file
@@ -0,0 +1,26 @@
|
||||
/**
|
||||
* This file is the entry point for the React app, it sets up the root
|
||||
* element and renders the App component to the DOM.
|
||||
*
|
||||
* It is included in `src/index.html`.
|
||||
*/
|
||||
|
||||
import { StrictMode } from "react";
|
||||
import { createRoot } from "react-dom/client";
|
||||
import { App } from "./App";
|
||||
|
||||
const elem = document.getElementById("root")!;
|
||||
const app = (
|
||||
<StrictMode>
|
||||
<App />
|
||||
</StrictMode>
|
||||
);
|
||||
|
||||
if (import.meta.hot) {
|
||||
// With hot module reloading, `import.meta.hot.data` is persisted.
|
||||
const root = (import.meta.hot.data.root ??= createRoot(elem));
|
||||
root.render(app);
|
||||
} else {
|
||||
// The hot module reloading API is not available in production.
|
||||
createRoot(elem).render(app);
|
||||
}
|
||||
187
src/index.css
Normal file
187
src/index.css
Normal file
@@ -0,0 +1,187 @@
|
||||
:root {
|
||||
font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
|
||||
line-height: 1.5;
|
||||
color-scheme: light dark;
|
||||
color: rgba(255, 255, 255, 0.87);
|
||||
background-color: #242424;
|
||||
}
|
||||
body {
|
||||
margin: 0;
|
||||
display: grid;
|
||||
place-items: center;
|
||||
min-width: 320px;
|
||||
min-height: 100vh;
|
||||
position: relative;
|
||||
}
|
||||
body::before {
|
||||
content: "";
|
||||
position: fixed;
|
||||
inset: 0;
|
||||
z-index: -1;
|
||||
opacity: 0.05;
|
||||
background: url("./logo.svg");
|
||||
background-size: 256px;
|
||||
transform: rotate(-12deg) scale(1.35);
|
||||
animation: slide 30s linear infinite;
|
||||
pointer-events: none;
|
||||
}
|
||||
@keyframes slide {
|
||||
from {
|
||||
background-position: 0 0;
|
||||
}
|
||||
to {
|
||||
background-position: 256px 224px;
|
||||
}
|
||||
}
|
||||
.app {
|
||||
max-width: 1280px;
|
||||
margin: 0 auto;
|
||||
padding: 2rem;
|
||||
text-align: center;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
}
|
||||
.logo-container {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
gap: 2rem;
|
||||
margin-bottom: 2rem;
|
||||
}
|
||||
.logo {
|
||||
height: 6em;
|
||||
padding: 1.5em;
|
||||
will-change: filter;
|
||||
transition: filter 0.3s;
|
||||
}
|
||||
.logo:hover {
|
||||
filter: drop-shadow(0 0 2em #646cffaa);
|
||||
}
|
||||
.bun-logo {
|
||||
transform: scale(1.2);
|
||||
}
|
||||
.bun-logo:hover {
|
||||
filter: drop-shadow(0 0 2em #fbf0dfaa);
|
||||
}
|
||||
.react-logo {
|
||||
animation: spin 20s linear infinite;
|
||||
}
|
||||
.react-logo:hover {
|
||||
filter: drop-shadow(0 0 2em #61dafbaa);
|
||||
}
|
||||
@keyframes spin {
|
||||
from {
|
||||
transform: rotate(0);
|
||||
}
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
h1 {
|
||||
font-size: 3.2em;
|
||||
line-height: 1.1;
|
||||
}
|
||||
code {
|
||||
background-color: #1a1a1a;
|
||||
padding: 0.2em 0.4em;
|
||||
border-radius: 0.3em;
|
||||
font-family: monospace;
|
||||
}
|
||||
.api-tester {
|
||||
margin: 2rem auto 0;
|
||||
width: 100%;
|
||||
max-width: 600px;
|
||||
text-align: left;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 1rem;
|
||||
}
|
||||
.endpoint-row {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 0.5rem;
|
||||
background: #1a1a1a;
|
||||
padding: 0.75rem;
|
||||
border-radius: 12px;
|
||||
font: monospace;
|
||||
border: 2px solid #fbf0df;
|
||||
transition: 0.3s;
|
||||
width: 100%;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
.endpoint-row:focus-within {
|
||||
border-color: #f3d5a3;
|
||||
}
|
||||
.method {
|
||||
background: #fbf0df;
|
||||
color: #1a1a1a;
|
||||
padding: 0.3rem 0.7rem;
|
||||
border-radius: 8px;
|
||||
font-weight: 700;
|
||||
font-size: 0.9em;
|
||||
appearance: none;
|
||||
margin: 0;
|
||||
width: min-content;
|
||||
display: block;
|
||||
flex-shrink: 0;
|
||||
border: none;
|
||||
}
|
||||
.method option {
|
||||
text-align: left;
|
||||
}
|
||||
.url-input {
|
||||
width: 100%;
|
||||
flex: 1;
|
||||
background: 0;
|
||||
border: 0;
|
||||
color: #fbf0df;
|
||||
font: 1em monospace;
|
||||
padding: 0.2rem;
|
||||
outline: 0;
|
||||
}
|
||||
.url-input:focus {
|
||||
color: #fff;
|
||||
}
|
||||
.url-input::placeholder {
|
||||
color: rgba(251, 240, 223, 0.4);
|
||||
}
|
||||
.send-button {
|
||||
background: #fbf0df;
|
||||
color: #1a1a1a;
|
||||
border: 0;
|
||||
padding: 0.4rem 1.2rem;
|
||||
border-radius: 8px;
|
||||
font-weight: 700;
|
||||
transition: 0.1s;
|
||||
cursor: var(--bun-cursor);
|
||||
}
|
||||
.send-button:hover {
|
||||
background: #f3d5a3;
|
||||
transform: translateY(-1px);
|
||||
cursor: pointer;
|
||||
}
|
||||
.response-area {
|
||||
width: 100%;
|
||||
min-height: 120px;
|
||||
background: #1a1a1a;
|
||||
border: 2px solid #fbf0df;
|
||||
border-radius: 12px;
|
||||
padding: 0.75rem;
|
||||
color: #fbf0df;
|
||||
font: monospace;
|
||||
resize: vertical;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
.response-area:focus {
|
||||
border-color: #f3d5a3;
|
||||
}
|
||||
.response-area::placeholder {
|
||||
color: rgba(251, 240, 223, 0.4);
|
||||
}
|
||||
@media (prefers-reduced-motion) {
|
||||
*,
|
||||
::before,
|
||||
::after {
|
||||
animation: none !important;
|
||||
}
|
||||
}
|
||||
13
src/index.html
Normal file
13
src/index.html
Normal file
@@ -0,0 +1,13 @@
|
||||
<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="UTF-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
|
||||
<link rel="icon" type="image/svg+xml" href="./logo.svg" />
|
||||
<title>Bun + React</title>
|
||||
</head>
|
||||
<body>
|
||||
<div id="root"></div>
|
||||
<script type="module" src="./frontend.tsx"></script>
|
||||
</body>
|
||||
</html>
|
||||
120
src/index.tsx
Normal file
120
src/index.tsx
Normal file
@@ -0,0 +1,120 @@
|
||||
import Elysia, { t } from "elysia";
|
||||
import Swagger from "@elysiajs/swagger";
|
||||
import html from "./index.html";
|
||||
import { apiAuth } from "./server/middlewares/apiAuth";
|
||||
import Auth from "./server/routes/auth_route";
|
||||
import ApiKeyRoute from "./server/routes/apikey_route";
|
||||
import type { User } from "generated/prisma";
|
||||
import { renderToReadableStream } from "react-dom/server";
|
||||
import { LandingPage } from "./Landing";
|
||||
import cors from "@elysiajs/cors";
|
||||
import packageJson from "../package.json";
|
||||
import TTSTiktok from "./server/routes/tts_tiktok";
|
||||
import ChatterboxTTS from "./server/routes/chatterbox_tts";
|
||||
|
||||
const PORT = process.env.PORT || 3000;
|
||||
|
||||
const Docs = new Elysia().use(
|
||||
Swagger({
|
||||
path: "/docs",
|
||||
specPath: "/spec",
|
||||
exclude: ["/docs", "/spec"],
|
||||
documentation: {
|
||||
info: {
|
||||
title: packageJson.name,
|
||||
version: packageJson.version,
|
||||
description: `API documentation for ${packageJson.name} ${packageJson.version}`,
|
||||
contact: {
|
||||
name: "Jenna Support",
|
||||
email: "support@jenna.com",
|
||||
},
|
||||
license: {
|
||||
name: "MIT",
|
||||
url: "https://github.com/jenna/jenna-tools/blob/main/LICENSE",
|
||||
},
|
||||
},
|
||||
servers: [
|
||||
{
|
||||
url: process.env.BASE_URL || "http://localhost:3000",
|
||||
description: process.env.BASE_URL
|
||||
? "Production server"
|
||||
: "Local development server",
|
||||
},
|
||||
],
|
||||
},
|
||||
}),
|
||||
);
|
||||
|
||||
const ApiUser = new Elysia({
|
||||
prefix: "/user",
|
||||
}).get(
|
||||
"/find",
|
||||
(ctx) => {
|
||||
const { user } = ctx as any;
|
||||
return {
|
||||
user: user as User,
|
||||
};
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
description: "Get the current user information",
|
||||
summary: "Retrieve authenticated user details",
|
||||
tags: ["User"],
|
||||
},
|
||||
},
|
||||
);
|
||||
|
||||
const Api = new Elysia({
|
||||
prefix: "/api",
|
||||
})
|
||||
.use(apiAuth)
|
||||
.use(ApiKeyRoute)
|
||||
.use(ApiUser)
|
||||
.use(TTSTiktok)
|
||||
.use(ChatterboxTTS);
|
||||
|
||||
const app = new Elysia()
|
||||
.use(cors())
|
||||
.use(Api)
|
||||
.use(Docs)
|
||||
.use(Auth)
|
||||
.get(
|
||||
"/assets/:name",
|
||||
(ctx) => {
|
||||
try {
|
||||
const file = Bun.file(`public/${encodeURIComponent(ctx.params.name)}`);
|
||||
return new Response(file);
|
||||
} catch (error) {
|
||||
return new Response("File not found", { status: 404 });
|
||||
}
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
description: "Serve static asset files",
|
||||
summary: "Get a static asset by name",
|
||||
tags: ["Static Assets"],
|
||||
},
|
||||
},
|
||||
)
|
||||
.get(
|
||||
"/",
|
||||
async () => {
|
||||
const stream = await renderToReadableStream(<LandingPage />);
|
||||
return new Response(stream, {
|
||||
headers: { "Content-Type": "text/html" },
|
||||
});
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
description: "Landing page for Jenna Tools",
|
||||
summary: "Get the main landing page",
|
||||
tags: ["General"],
|
||||
},
|
||||
},
|
||||
)
|
||||
.get("/*", html)
|
||||
.listen(PORT, () => {
|
||||
console.log(`Server running at http://localhost:${PORT}`);
|
||||
});
|
||||
|
||||
export type ServerApp = typeof app;
|
||||
11
src/lib/apiFetch.ts
Normal file
11
src/lib/apiFetch.ts
Normal file
@@ -0,0 +1,11 @@
|
||||
import { treaty } from '@elysiajs/eden'
|
||||
import type { ServerApp } from '..'
|
||||
|
||||
const URL = process.env.BUN_PUBLIC_BASE_URL
|
||||
if (!URL) {
|
||||
throw new Error('BUN_PUBLIC_BASE_URL is not defined')
|
||||
}
|
||||
|
||||
const apiFetch = treaty<ServerApp>(URL)
|
||||
|
||||
export default apiFetch
|
||||
1
src/logo.svg
Normal file
1
src/logo.svg
Normal file
@@ -0,0 +1 @@
|
||||
<svg id="Bun" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 80 70"><title>Bun Logo</title><path id="Shadow" d="M71.09,20.74c-.16-.17-.33-.34-.5-.5s-.33-.34-.5-.5-.33-.34-.5-.5-.33-.34-.5-.5-.33-.34-.5-.5-.33-.34-.5-.5-.33-.34-.5-.5A26.46,26.46,0,0,1,75.5,35.7c0,16.57-16.82,30.05-37.5,30.05-11.58,0-21.94-4.23-28.83-10.86l.5.5.5.5.5.5.5.5.5.5.5.5.5.5C19.55,65.3,30.14,69.75,42,69.75c20.68,0,37.5-13.48,37.5-30C79.5,32.69,76.46,26,71.09,20.74Z"/><g id="Body"><path id="Background" d="M73,35.7c0,15.21-15.67,27.54-35,27.54S3,50.91,3,35.7C3,26.27,9,17.94,18.22,13S33.18,3,38,3s8.94,4.13,19.78,10C67,17.94,73,26.27,73,35.7Z" style="fill:#fbf0df"/><path id="Bottom_Shadow" data-name="Bottom Shadow" d="M73,35.7a21.67,21.67,0,0,0-.8-5.78c-2.73,33.3-43.35,34.9-59.32,24.94A40,40,0,0,0,38,63.24C57.3,63.24,73,50.89,73,35.7Z" style="fill:#f6dece"/><path id="Light_Shine" data-name="Light Shine" d="M24.53,11.17C29,8.49,34.94,3.46,40.78,3.45A9.29,9.29,0,0,0,38,3c-2.42,0-5,1.25-8.25,3.13-1.13.66-2.3,1.39-3.54,2.15-2.33,1.44-5,3.07-8,4.7C8.69,18.13,3,26.62,3,35.7c0,.4,0,.8,0,1.19C9.06,15.48,20.07,13.85,24.53,11.17Z" style="fill:#fffefc"/><path id="Top" d="M35.12,5.53A16.41,16.41,0,0,1,29.49,18c-.28.25-.06.73.3.59,3.37-1.31,7.92-5.23,6-13.14C35.71,5,35.12,5.12,35.12,5.53Zm2.27,0A16.24,16.24,0,0,1,39,19c-.12.35.31.65.55.36C41.74,16.56,43.65,11,37.93,5,37.64,4.74,37.19,5.14,37.39,5.49Zm2.76-.17A16.42,16.42,0,0,1,47,17.12a.33.33,0,0,0,.65.11c.92-3.49.4-9.44-7.17-12.53C40.08,4.54,39.82,5.08,40.15,5.32ZM21.69,15.76a16.94,16.94,0,0,0,10.47-9c.18-.36.75-.22.66.18-1.73,8-7.52,9.67-11.12,9.45C21.32,16.4,21.33,15.87,21.69,15.76Z" style="fill:#ccbea7;fill-rule:evenodd"/><path id="Outline" d="M38,65.75C17.32,65.75.5,52.27.5,35.7c0-10,6.18-19.33,16.53-24.92,3-1.6,5.57-3.21,7.86-4.62,1.26-.78,2.45-1.51,3.6-2.19C32,1.89,35,.5,38,.5s5.62,1.2,8.9,3.14c1,.57,2,1.19,3.07,1.87,2.49,1.54,5.3,3.28,9,5.27C69.32,16.37,75.5,25.69,75.5,35.7,75.5,52.27,58.68,65.75,38,65.75ZM38,3c-2.42,0-5,1.25-8.25,3.13-1.13.66-2.3,1.39-3.54,2.15-2.33,1.44-5,3.07-8,4.7C8.69,18.13,3,26.62,3,35.7,3,50.89,18.7,63.25,38,63.25S73,50.89,73,35.7C73,26.62,67.31,18.13,57.78,13,54,11,51.05,9.12,48.66,7.64c-1.09-.67-2.09-1.29-3-1.84C42.63,4,40.42,3,38,3Z"/></g><g id="Mouth"><g id="Background-2" data-name="Background"><path d="M45.05,43a8.93,8.93,0,0,1-2.92,4.71,6.81,6.81,0,0,1-4,1.88A6.84,6.84,0,0,1,34,47.71,8.93,8.93,0,0,1,31.12,43a.72.72,0,0,1,.8-.81H44.26A.72.72,0,0,1,45.05,43Z" style="fill:#b71422"/></g><g id="Tongue"><path id="Background-3" data-name="Background" d="M34,47.79a6.91,6.91,0,0,0,4.12,1.9,6.91,6.91,0,0,0,4.11-1.9,10.63,10.63,0,0,0,1-1.07,6.83,6.83,0,0,0-4.9-2.31,6.15,6.15,0,0,0-5,2.78C33.56,47.4,33.76,47.6,34,47.79Z" style="fill:#ff6164"/><path id="Outline-2" data-name="Outline" d="M34.16,47a5.36,5.36,0,0,1,4.19-2.08,6,6,0,0,1,4,1.69c.23-.25.45-.51.66-.77a7,7,0,0,0-4.71-1.93,6.36,6.36,0,0,0-4.89,2.36A9.53,9.53,0,0,0,34.16,47Z"/></g><path id="Outline-3" data-name="Outline" d="M38.09,50.19a7.42,7.42,0,0,1-4.45-2,9.52,9.52,0,0,1-3.11-5.05,1.2,1.2,0,0,1,.26-1,1.41,1.41,0,0,1,1.13-.51H44.26a1.44,1.44,0,0,1,1.13.51,1.19,1.19,0,0,1,.25,1h0a9.52,9.52,0,0,1-3.11,5.05A7.42,7.42,0,0,1,38.09,50.19Zm-6.17-7.4c-.16,0-.2.07-.21.09a8.29,8.29,0,0,0,2.73,4.37A6.23,6.23,0,0,0,38.09,49a6.28,6.28,0,0,0,3.65-1.73,8.3,8.3,0,0,0,2.72-4.37.21.21,0,0,0-.2-.09Z"/></g><g id="Face"><ellipse id="Right_Blush" data-name="Right Blush" cx="53.22" cy="40.18" rx="5.85" ry="3.44" style="fill:#febbd0"/><ellipse id="Left_Bluch" data-name="Left Bluch" cx="22.95" cy="40.18" rx="5.85" ry="3.44" style="fill:#febbd0"/><path id="Eyes" d="M25.7,38.8a5.51,5.51,0,1,0-5.5-5.51A5.51,5.51,0,0,0,25.7,38.8Zm24.77,0A5.51,5.51,0,1,0,45,33.29,5.5,5.5,0,0,0,50.47,38.8Z" style="fill-rule:evenodd"/><path id="Iris" d="M24,33.64a2.07,2.07,0,1,0-2.06-2.07A2.07,2.07,0,0,0,24,33.64Zm24.77,0a2.07,2.07,0,1,0-2.06-2.07A2.07,2.07,0,0,0,48.75,33.64Z" style="fill:#fff;fill-rule:evenodd"/></g></svg>
|
||||
|
After Width: | Height: | Size: 3.8 KiB |
31
src/pages/Home.tsx
Normal file
31
src/pages/Home.tsx
Normal file
@@ -0,0 +1,31 @@
|
||||
import clientRoutes from "@/clientRoutes";
|
||||
import { Button, Card, Container, Group, Stack, Title } from "@mantine/core";
|
||||
|
||||
export default function Home() {
|
||||
return (
|
||||
<Container size={420} py={80}>
|
||||
<Card shadow="sm" padding="xl" radius="md">
|
||||
<Stack gap="md">
|
||||
<Title order={2} ta="center">
|
||||
Home
|
||||
</Title>
|
||||
|
||||
<Group grow>
|
||||
<Button size="sm" component="a" href={clientRoutes["/dashboard"]}>
|
||||
Dashboard
|
||||
</Button>
|
||||
|
||||
<Button
|
||||
size="sm"
|
||||
component="a"
|
||||
href={clientRoutes["/login"]}
|
||||
variant="light"
|
||||
>
|
||||
Login
|
||||
</Button>
|
||||
</Group>
|
||||
</Stack>
|
||||
</Card>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
100
src/pages/Login.tsx
Normal file
100
src/pages/Login.tsx
Normal file
@@ -0,0 +1,100 @@
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
Container,
|
||||
Group,
|
||||
PasswordInput,
|
||||
Stack,
|
||||
Text,
|
||||
TextInput,
|
||||
Title,
|
||||
} from "@mantine/core";
|
||||
import { useEffect, useState } from "react";
|
||||
import apiFetch from "../lib/apiFetch";
|
||||
import clientRoutes from "@/clientRoutes";
|
||||
import { Navigate } from "react-router-dom";
|
||||
|
||||
export default function Login() {
|
||||
const [email, setEmail] = useState("");
|
||||
const [password, setPassword] = useState("");
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [isAuthenticated, setIsAuthenticated] = useState<boolean | null>(null);
|
||||
|
||||
const handleSubmit = async () => {
|
||||
setLoading(true);
|
||||
try {
|
||||
const response = await apiFetch.auth.login.post({
|
||||
email,
|
||||
password,
|
||||
});
|
||||
|
||||
if (response.data?.token) {
|
||||
localStorage.setItem("token", response.data.token);
|
||||
window.location.href = "/dashboard";
|
||||
return;
|
||||
}
|
||||
|
||||
if (response.error) {
|
||||
alert(JSON.stringify(response.error));
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
async function checkSession() {
|
||||
try {
|
||||
// backend otomatis baca cookie JWT dari request
|
||||
const res = await apiFetch.api.user.find.get();
|
||||
setIsAuthenticated(res.status === 200);
|
||||
} catch {
|
||||
setIsAuthenticated(false);
|
||||
}
|
||||
}
|
||||
checkSession();
|
||||
}, []);
|
||||
|
||||
if (isAuthenticated === null) return null;
|
||||
if (isAuthenticated)
|
||||
return <Navigate to={clientRoutes["/dashboard"]} replace />;
|
||||
|
||||
return (
|
||||
<Container size={420} py={80}>
|
||||
<Card shadow="sm" radius="md" padding="xl">
|
||||
<Stack gap="md">
|
||||
<Title order={2} ta="center">
|
||||
Login
|
||||
</Title>
|
||||
|
||||
<TextInput
|
||||
label="Email"
|
||||
placeholder="you@example.com"
|
||||
value={email}
|
||||
onChange={(e) => setEmail(e.target.value)}
|
||||
required
|
||||
/>
|
||||
|
||||
<PasswordInput
|
||||
label="Password"
|
||||
placeholder="********"
|
||||
value={password}
|
||||
onChange={(e) => setPassword(e.target.value)}
|
||||
required
|
||||
/>
|
||||
|
||||
<Group justify="flex-end" mt="sm">
|
||||
<Button onClick={handleSubmit} loading={loading} fullWidth>
|
||||
Login
|
||||
</Button>
|
||||
</Group>
|
||||
<Text ta="center" size="sm">
|
||||
Don't have an account? <a href="/register">Register</a>
|
||||
</Text>
|
||||
</Stack>
|
||||
</Card>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
19
src/pages/NotFound.tsx
Normal file
19
src/pages/NotFound.tsx
Normal file
@@ -0,0 +1,19 @@
|
||||
import { Container, Text, Anchor } from "@mantine/core";
|
||||
|
||||
export default function NotFound() {
|
||||
return (
|
||||
<Container>
|
||||
<Text size="xl" ta="center" mb="md">
|
||||
404 Not Found
|
||||
</Text>
|
||||
<Text ta="center" mb="lg">
|
||||
The page you are looking for does not exist.
|
||||
</Text>
|
||||
<Text ta="center">
|
||||
<Anchor href="/" c="blue" underline="hover">
|
||||
Go back home
|
||||
</Anchor>
|
||||
</Text>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
108
src/pages/Register.tsx
Normal file
108
src/pages/Register.tsx
Normal file
@@ -0,0 +1,108 @@
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
Container,
|
||||
Group,
|
||||
PasswordInput,
|
||||
Stack,
|
||||
Text,
|
||||
TextInput,
|
||||
Title,
|
||||
} from "@mantine/core";
|
||||
import { useEffect, useState } from "react";
|
||||
import apiFetch from "../lib/apiFetch";
|
||||
import clientRoutes from "@/clientRoutes";
|
||||
import { Navigate } from "react-router-dom";
|
||||
|
||||
export default function Register() {
|
||||
const [name, setName] = useState("");
|
||||
const [email, setEmail] = useState("");
|
||||
const [password, setPassword] = useState("");
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [isAuthenticated, setIsAuthenticated] = useState<boolean | null>(null);
|
||||
|
||||
const handleSubmit = async () => {
|
||||
setLoading(true);
|
||||
try {
|
||||
const response = await apiFetch.auth.register.post({
|
||||
name,
|
||||
email,
|
||||
password,
|
||||
});
|
||||
|
||||
if (response.data?.success) {
|
||||
window.location.href = clientRoutes["/login"];
|
||||
return;
|
||||
}
|
||||
|
||||
if (response.error) {
|
||||
alert(JSON.stringify(response.error));
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(error);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
async function checkSession() {
|
||||
try {
|
||||
const res = await apiFetch.api.user.find.get();
|
||||
setIsAuthenticated(res.status === 200);
|
||||
} catch {
|
||||
setIsAuthenticated(false);
|
||||
}
|
||||
}
|
||||
checkSession();
|
||||
}, []);
|
||||
|
||||
if (isAuthenticated === null) return null;
|
||||
if (isAuthenticated)
|
||||
return <Navigate to={clientRoutes["/dashboard"]} replace />;
|
||||
|
||||
return (
|
||||
<Container size={420} py={80}>
|
||||
<Card shadow="sm" radius="md" padding="xl">
|
||||
<Stack gap="md">
|
||||
<Title order={2} ta="center">
|
||||
Register
|
||||
</Title>
|
||||
|
||||
<TextInput
|
||||
label="Name"
|
||||
placeholder="Your full name"
|
||||
value={name}
|
||||
onChange={(e) => setName(e.target.value)}
|
||||
required
|
||||
/>
|
||||
|
||||
<TextInput
|
||||
label="Email"
|
||||
placeholder="you@example.com"
|
||||
value={email}
|
||||
onChange={(e) => setEmail(e.target.value)}
|
||||
required
|
||||
/>
|
||||
|
||||
<PasswordInput
|
||||
label="Password"
|
||||
placeholder="********"
|
||||
value={password}
|
||||
onChange={(e) => setPassword(e.target.value)}
|
||||
required
|
||||
/>
|
||||
|
||||
<Group justify="flex-end" mt="sm">
|
||||
<Button onClick={handleSubmit} loading={loading} fullWidth>
|
||||
Register
|
||||
</Button>
|
||||
</Group>
|
||||
<Text ta="center" size="sm">
|
||||
Already have an account? <a href="/login">Login</a>
|
||||
</Text>
|
||||
</Stack>
|
||||
</Card>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
232
src/pages/dashboard/apikey/apikey_page.tsx
Normal file
232
src/pages/dashboard/apikey/apikey_page.tsx
Normal file
@@ -0,0 +1,232 @@
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
Container,
|
||||
Group,
|
||||
Stack,
|
||||
Table,
|
||||
Text,
|
||||
TextInput,
|
||||
Title,
|
||||
Divider,
|
||||
Loader,
|
||||
} from "@mantine/core";
|
||||
import { useEffect, useState } from "react";
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
import { showNotification } from "@mantine/notifications";
|
||||
import useSwr from "swr";
|
||||
import { modals } from "@mantine/modals";
|
||||
|
||||
export default function ApiKeyPage() {
|
||||
return (
|
||||
<Container size="md" w="100%" py="lg">
|
||||
<Stack gap="lg">
|
||||
<Title order={2}>API Key Management</Title>
|
||||
<CreateApiKey />
|
||||
<ListApiKey />
|
||||
</Stack>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
|
||||
function CreateApiKey() {
|
||||
const [name, setName] = useState("");
|
||||
const [description, setDescription] = useState("");
|
||||
const [expiredAt, setExpiredAt] = useState("");
|
||||
const [loading, setLoading] = useState(false);
|
||||
|
||||
const handleSubmit = async () => {
|
||||
try {
|
||||
setLoading(true);
|
||||
|
||||
if (!name || !description) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "All fields are required",
|
||||
color: "red",
|
||||
});
|
||||
return;
|
||||
}
|
||||
|
||||
const res = await apiFetch.api.apikey.create.post({
|
||||
name,
|
||||
description,
|
||||
expiredAt: expiredAt
|
||||
? new Date(expiredAt).toISOString()
|
||||
: new Date().toISOString(),
|
||||
});
|
||||
|
||||
if (res.status === 200) {
|
||||
setName("");
|
||||
setDescription("");
|
||||
setExpiredAt("");
|
||||
|
||||
showNotification({
|
||||
title: "Success",
|
||||
message: "API key created successfully",
|
||||
color: "green",
|
||||
});
|
||||
}
|
||||
|
||||
setLoading(false);
|
||||
} catch (error) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "Failed to create API key " + JSON.stringify(error),
|
||||
color: "red",
|
||||
});
|
||||
setLoading(false);
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Card shadow="sm" radius="md" padding="lg">
|
||||
<Stack gap="md">
|
||||
<Title order={4}>Create API Key</Title>
|
||||
|
||||
<TextInput
|
||||
label="Name"
|
||||
placeholder="Name"
|
||||
value={name}
|
||||
onChange={(e) => setName(e.target.value)}
|
||||
required
|
||||
/>
|
||||
|
||||
<TextInput
|
||||
label="Description"
|
||||
placeholder="Description"
|
||||
value={description}
|
||||
onChange={(e) => setDescription(e.target.value)}
|
||||
/>
|
||||
|
||||
<TextInput
|
||||
label="Expired At"
|
||||
placeholder="Expired At"
|
||||
type="date"
|
||||
value={expiredAt}
|
||||
onChange={(e) => setExpiredAt(e.target.value)}
|
||||
/>
|
||||
|
||||
<Group justify="flex-end" mt="sm">
|
||||
<Button
|
||||
variant="outline"
|
||||
onClick={() => {
|
||||
setName("");
|
||||
setDescription("");
|
||||
setExpiredAt("");
|
||||
}}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
|
||||
<Button onClick={handleSubmit} type="submit" loading={loading}>
|
||||
Save
|
||||
</Button>
|
||||
</Group>
|
||||
</Stack>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
function ListApiKey() {
|
||||
const { data, error, isLoading, mutate } = useSwr(
|
||||
"/",
|
||||
() => apiFetch.api.apikey.list.get(),
|
||||
{
|
||||
revalidateOnFocus: false,
|
||||
revalidateOnReconnect: false,
|
||||
revalidateIfStale: false,
|
||||
refreshInterval: 3000,
|
||||
},
|
||||
);
|
||||
const apiKeys = data?.data?.apiKeys || [];
|
||||
|
||||
useEffect(() => {
|
||||
mutate();
|
||||
}, []);
|
||||
|
||||
if (error) return <Text color="red">Error fetching API keys</Text>;
|
||||
if (isLoading) return <Loader />;
|
||||
|
||||
return (
|
||||
<Card shadow="sm" radius="md" padding="lg">
|
||||
<Stack gap="md">
|
||||
<Title order={4}>API Key List</Title>
|
||||
|
||||
<Divider />
|
||||
|
||||
<Table striped highlightOnHover withTableBorder withColumnBorders>
|
||||
<Table.Thead>
|
||||
<Table.Tr>
|
||||
<Table.Th>Name</Table.Th>
|
||||
<Table.Th>Description</Table.Th>
|
||||
<Table.Th>Expired At</Table.Th>
|
||||
<Table.Th>Created At</Table.Th>
|
||||
<Table.Th style={{ width: 160 }}>Actions</Table.Th>
|
||||
</Table.Tr>
|
||||
</Table.Thead>
|
||||
|
||||
<Table.Tbody>
|
||||
{apiKeys.map((apiKey: any, index: number) => (
|
||||
<Table.Tr key={index}>
|
||||
<Table.Td>{apiKey.name}</Table.Td>
|
||||
<Table.Td>{apiKey.description}</Table.Td>
|
||||
<Table.Td>
|
||||
{apiKey.expiredAt?.toISOString().split("T")[0]}
|
||||
</Table.Td>
|
||||
<Table.Td>
|
||||
{apiKey.createdAt?.toISOString().split("T")[0]}
|
||||
</Table.Td>
|
||||
<Table.Td>
|
||||
<Group gap="xs">
|
||||
<Button
|
||||
variant="light"
|
||||
size="xs"
|
||||
onClick={() => {
|
||||
modals.openConfirmModal({
|
||||
title: "Delete API Key",
|
||||
children: (
|
||||
<Text>
|
||||
Are you sure you want to delete this API key?
|
||||
</Text>
|
||||
),
|
||||
labels: { confirm: "Delete", cancel: "Cancel" },
|
||||
onCancel: () => {},
|
||||
onConfirm: async () => {
|
||||
await apiFetch.api.apikey.delete.delete({
|
||||
id: apiKey.id,
|
||||
});
|
||||
mutate();
|
||||
},
|
||||
});
|
||||
}}
|
||||
>
|
||||
Delete
|
||||
</Button>
|
||||
|
||||
<Button
|
||||
variant="outline"
|
||||
size="xs"
|
||||
onClick={() => {
|
||||
navigator.clipboard.writeText(apiKey.key);
|
||||
showNotification({
|
||||
title: "Copied",
|
||||
message: "API key copied to clipboard",
|
||||
color: "green",
|
||||
});
|
||||
}}
|
||||
>
|
||||
Copy
|
||||
</Button>
|
||||
</Group>
|
||||
</Table.Td>
|
||||
</Table.Tr>
|
||||
))}
|
||||
</Table.Tbody>
|
||||
</Table>
|
||||
</Stack>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
225
src/pages/dashboard/chatterbox-tts/ChatterboxListFile.tsx
Normal file
225
src/pages/dashboard/chatterbox-tts/ChatterboxListFile.tsx
Normal file
@@ -0,0 +1,225 @@
|
||||
import { useEffect, useState } from "react";
|
||||
import {
|
||||
Alert,
|
||||
Button,
|
||||
Card,
|
||||
Group,
|
||||
Loader,
|
||||
Modal,
|
||||
ScrollArea,
|
||||
Stack,
|
||||
Table,
|
||||
Text,
|
||||
ActionIcon,
|
||||
Code
|
||||
} from "@mantine/core";
|
||||
import {
|
||||
IconAlertTriangle,
|
||||
IconRefresh,
|
||||
IconDownload,
|
||||
IconTrash,
|
||||
IconPlayerPlay
|
||||
} from "@tabler/icons-react";
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
|
||||
export default function ChatterboxListFile() {
|
||||
const [files, setFiles] = useState<any[]>([]);
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [loadingDelete, setLoadingDelete] = useState<string | null>(null);
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
|
||||
const [playModal, setPlayModal] = useState(false);
|
||||
const [currentUrl, setCurrentUrl] = useState<string | null>(null);
|
||||
const [loadingPlay, setLoadingPlay] = useState(false)
|
||||
|
||||
const fetchFiles = async () => {
|
||||
setLoading(true);
|
||||
setError(null);
|
||||
|
||||
try {
|
||||
const res = await apiFetch.api["chatterbox-tts"]["list-file"].get();
|
||||
setFiles(res.data?.data?.files || []);
|
||||
|
||||
} catch (err) {
|
||||
setError(err + "");
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
fetchFiles();
|
||||
}, []);
|
||||
|
||||
const removeFile = async (name: string) => {
|
||||
setLoadingDelete(name);
|
||||
try {
|
||||
await apiFetch.api["chatterbox-tts"]["rm"]({ filename: name }).delete();
|
||||
fetchFiles();
|
||||
} catch (err) {
|
||||
alert("Gagal menghapus: " + err);
|
||||
} finally {
|
||||
setLoadingDelete(null);
|
||||
}
|
||||
};
|
||||
|
||||
const openPlay = async (filename: string) => {
|
||||
|
||||
setLoadingPlay(true)
|
||||
try {
|
||||
const urlFetch = await apiFetch.api["chatterbox-tts"].file({ filename }).get()
|
||||
const res = await fetch(urlFetch.response.url);
|
||||
|
||||
const blob = await res.blob();
|
||||
const url = URL.createObjectURL(blob);
|
||||
setCurrentUrl(url);
|
||||
setPlayModal(true);
|
||||
|
||||
console.log("BLOB: ",blob)
|
||||
console.log("URL BLOB: ", url)
|
||||
|
||||
} catch (error) {
|
||||
console.log("eh error")
|
||||
} finally {
|
||||
setLoadingPlay(false)
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<>
|
||||
{/* Modal Player */}
|
||||
<Modal
|
||||
opened={playModal}
|
||||
onClose={() => setPlayModal(false)}
|
||||
title="Audio Player"
|
||||
centered
|
||||
size="md"
|
||||
>
|
||||
{currentUrl && (
|
||||
<audio controls style={{ width: "100%" }}>
|
||||
<source src={currentUrl} type="audio/mpeg" />
|
||||
Browser kamu tidak mendukung pemutar audio.
|
||||
</audio>
|
||||
)}
|
||||
</Modal>
|
||||
|
||||
{/* Main List Card */}
|
||||
<Card shadow="md" radius="lg" p="xl" withBorder>
|
||||
<Stack gap="lg">
|
||||
<Group justify="space-between">
|
||||
<Text size="xl" fw={700}>
|
||||
🎧 Output Files
|
||||
</Text>
|
||||
|
||||
<Button
|
||||
leftSection={<IconRefresh size={16} />}
|
||||
onClick={fetchFiles}
|
||||
loading={loading}
|
||||
>
|
||||
Refresh
|
||||
</Button>
|
||||
</Group>
|
||||
|
||||
{error && (
|
||||
<Alert
|
||||
icon={<IconAlertTriangle />}
|
||||
color="red"
|
||||
radius="md"
|
||||
title="Gagal memuat data"
|
||||
>
|
||||
{error}
|
||||
</Alert>
|
||||
)}
|
||||
|
||||
{loading && (
|
||||
<Group justify="center" py="lg">
|
||||
<Loader size="lg" />
|
||||
</Group>
|
||||
)}
|
||||
|
||||
{!loading && files.length === 0 && (
|
||||
<Text ta="center" c="dimmed">
|
||||
Belum ada file output.
|
||||
</Text>
|
||||
)}
|
||||
|
||||
{!loading && files.length > 0 && (
|
||||
<ScrollArea h={350}>
|
||||
<Table
|
||||
striped
|
||||
highlightOnHover
|
||||
withTableBorder
|
||||
withColumnBorders
|
||||
>
|
||||
<Table.Thead>
|
||||
<Table.Tr>
|
||||
<Table.Th>File Name</Table.Th>
|
||||
<Table.Th>Size</Table.Th>
|
||||
<Table.Th w={200}>Action</Table.Th>
|
||||
</Table.Tr>
|
||||
</Table.Thead>
|
||||
|
||||
<Table.Tbody>
|
||||
{files.map((item, idx) => (
|
||||
<Table.Tr key={idx}>
|
||||
<Table.Td>
|
||||
<Code>{item.file}</Code>
|
||||
</Table.Td>
|
||||
|
||||
<Table.Td>
|
||||
{(item.size_bytes / 1024).toFixed(1)} KB
|
||||
</Table.Td>
|
||||
|
||||
<Table.Td>
|
||||
<Group justify="flex-end">
|
||||
|
||||
{/* Play */}
|
||||
<ActionIcon
|
||||
loading={loadingPlay}
|
||||
variant="light"
|
||||
color="blue"
|
||||
size="lg"
|
||||
radius="md"
|
||||
onClick={() => openPlay(item.file)}
|
||||
>
|
||||
<IconPlayerPlay size={18} />
|
||||
</ActionIcon>
|
||||
|
||||
{/* Download */}
|
||||
<ActionIcon
|
||||
variant="light"
|
||||
color="green"
|
||||
size="lg"
|
||||
radius="md"
|
||||
component="a"
|
||||
href={`/tts-output/${item.file}`}
|
||||
download={item.file}
|
||||
>
|
||||
<IconDownload size={18} />
|
||||
</ActionIcon>
|
||||
|
||||
{/* Delete */}
|
||||
<ActionIcon
|
||||
variant="light"
|
||||
color="red"
|
||||
size="lg"
|
||||
radius="md"
|
||||
onClick={() => removeFile(item.file)}
|
||||
loading={loadingDelete === item.file}
|
||||
>
|
||||
<IconTrash size={18} />
|
||||
</ActionIcon>
|
||||
|
||||
</Group>
|
||||
</Table.Td>
|
||||
</Table.Tr>
|
||||
))}
|
||||
</Table.Tbody>
|
||||
</Table>
|
||||
</ScrollArea>
|
||||
)}
|
||||
</Stack>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
}
|
||||
175
src/pages/dashboard/chatterbox-tts/ChatterboxListPrompt.tsx
Normal file
175
src/pages/dashboard/chatterbox-tts/ChatterboxListPrompt.tsx
Normal file
@@ -0,0 +1,175 @@
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
import {
|
||||
Alert,
|
||||
Button,
|
||||
Card,
|
||||
Group,
|
||||
Loader,
|
||||
ScrollArea,
|
||||
Stack,
|
||||
Table,
|
||||
Text,
|
||||
Modal
|
||||
} from "@mantine/core";
|
||||
import { IconAlertTriangle, IconRefresh, IconTrash } from "@tabler/icons-react";
|
||||
import { useEffect, useState } from "react";
|
||||
|
||||
export default function ChatterboxListPrompt() {
|
||||
const [data, setData] = useState<string[]>([]);
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [loadingDelete, setLoadingDelete] = useState<string | null>(null); // file yang sedang dihapus
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
|
||||
const [confirmOpen, setConfirmOpen] = useState(false);
|
||||
const [targetFile, setTargetFile] = useState<string | null>(null);
|
||||
|
||||
const fetchList = async () => {
|
||||
setLoading(true);
|
||||
setError(null);
|
||||
|
||||
try {
|
||||
const res = await apiFetch.api["chatterbox-tts"]["list-prompt"].get();
|
||||
setData(res.data?.data.prompt_names || []);
|
||||
} catch (err) {
|
||||
setError(err + "");
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
const removePrompt = async (filename: string) => {
|
||||
setLoadingDelete(filename);
|
||||
|
||||
try {
|
||||
await apiFetch.api["chatterbox-tts"]["delete-prompt"].post({
|
||||
prompt_name: filename
|
||||
});
|
||||
|
||||
// refresh list
|
||||
fetchList();
|
||||
} catch (err) {
|
||||
alert("Failed to remove: " + err);
|
||||
} finally {
|
||||
setLoadingDelete(null);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
fetchList();
|
||||
}, []);
|
||||
|
||||
const openRemoveDialog = (name: string) => {
|
||||
setTargetFile(name);
|
||||
setConfirmOpen(true);
|
||||
};
|
||||
|
||||
return (
|
||||
<>
|
||||
{/* CONFIRM DELETE MODAL */}
|
||||
<Modal
|
||||
opened={confirmOpen}
|
||||
onClose={() => setConfirmOpen(false)}
|
||||
title="Confirm Remove"
|
||||
centered
|
||||
>
|
||||
<Stack>
|
||||
<Text>Hapus file <b>{targetFile}</b> ?</Text>
|
||||
|
||||
<Group justify="flex-end">
|
||||
<Button variant="default" onClick={() => setConfirmOpen(false)}>
|
||||
Cancel
|
||||
</Button>
|
||||
|
||||
<Button
|
||||
color="red"
|
||||
leftSection={<IconTrash size={16} />}
|
||||
loading={loadingDelete === targetFile}
|
||||
onClick={() => {
|
||||
if (targetFile) removePrompt(targetFile);
|
||||
setConfirmOpen(false);
|
||||
}}
|
||||
>
|
||||
Remove
|
||||
</Button>
|
||||
</Group>
|
||||
</Stack>
|
||||
</Modal>
|
||||
|
||||
<Card shadow="md" radius="lg" p="xl" withBorder>
|
||||
<Stack gap="lg">
|
||||
<Group justify="space-between">
|
||||
<Text size="xl" fw={700}>
|
||||
📁 List Prompt Files
|
||||
</Text>
|
||||
|
||||
<Button
|
||||
leftSection={!loading && <IconRefresh size={16} />}
|
||||
onClick={fetchList}
|
||||
loading={loading}
|
||||
radius="md"
|
||||
>
|
||||
Refresh
|
||||
</Button>
|
||||
</Group>
|
||||
|
||||
{error && (
|
||||
<Alert
|
||||
icon={<IconAlertTriangle size={16} />}
|
||||
color="red"
|
||||
radius="md"
|
||||
title="Error fetching list"
|
||||
>
|
||||
{error}
|
||||
</Alert>
|
||||
)}
|
||||
|
||||
{loading && (
|
||||
<Group justify="center" py="lg">
|
||||
<Loader size="lg" />
|
||||
</Group>
|
||||
)}
|
||||
|
||||
{!loading && data.length === 0 && (
|
||||
<Text ta="center" c="dimmed">
|
||||
Belum ada prompt file yang terdaftar.
|
||||
</Text>
|
||||
)}
|
||||
|
||||
{!loading && data.length > 0 && (
|
||||
<ScrollArea h={320}>
|
||||
<Table highlightOnHover striped withTableBorder withColumnBorders>
|
||||
<Table.Thead>
|
||||
<Table.Tr>
|
||||
<Table.Th>File Name</Table.Th>
|
||||
<Table.Th w={120}>Action</Table.Th>
|
||||
</Table.Tr>
|
||||
</Table.Thead>
|
||||
|
||||
<Table.Tbody>
|
||||
{data.map((item, i) => (
|
||||
<Table.Tr key={i}>
|
||||
<Table.Td>{item}</Table.Td>
|
||||
|
||||
<Table.Td>
|
||||
<Button
|
||||
color="red"
|
||||
size="xs"
|
||||
radius="md"
|
||||
leftSection={<IconTrash size={14} />}
|
||||
loading={loadingDelete === item}
|
||||
onClick={() => openRemoveDialog(item)}
|
||||
>
|
||||
Remove
|
||||
</Button>
|
||||
</Table.Td>
|
||||
</Table.Tr>
|
||||
))}
|
||||
</Table.Tbody>
|
||||
</Table>
|
||||
</ScrollArea>
|
||||
)}
|
||||
</Stack>
|
||||
</Card>
|
||||
</>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,104 @@
|
||||
import { useState } from "react";
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
FileInput,
|
||||
Stack,
|
||||
Text,
|
||||
Group,
|
||||
Loader,
|
||||
Alert,
|
||||
Code,
|
||||
} from "@mantine/core";
|
||||
import { IconUpload, IconCheck, IconAlertTriangle } from "@tabler/icons-react";
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
|
||||
export default function ChatterboxRegisterPromptFile() {
|
||||
const [file, setFile] = useState<File | null>(null);
|
||||
const [result, setResult] = useState<any>(null);
|
||||
const [loading, setLoading] = useState(false);
|
||||
|
||||
const uploadPrompt = async () => {
|
||||
if (!file) return;
|
||||
|
||||
setLoading(true);
|
||||
setResult(null);
|
||||
|
||||
try {
|
||||
const res = await apiFetch.api["chatterbox-tts"]["register-prompt-file"].post({
|
||||
file: file
|
||||
});
|
||||
|
||||
setResult({ success: true, data: res.data?.data });
|
||||
} catch (err) {
|
||||
setResult({ success: false, error: err + "" });
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Card shadow="md" radius="lg" p="xl" withBorder>
|
||||
<Stack gap="lg">
|
||||
<Text size="xl" fw={700}>
|
||||
🎤 Register Prompt File
|
||||
</Text>
|
||||
|
||||
<FileInput
|
||||
label="Upload Prompt (.wav)"
|
||||
placeholder="Choose WAV file"
|
||||
value={file}
|
||||
onChange={setFile}
|
||||
accept="audio/wav"
|
||||
clearable
|
||||
radius="md"
|
||||
size="md"
|
||||
description="File harus format .wav — biasanya sample dari suara Anda"
|
||||
/>
|
||||
|
||||
<Button
|
||||
onClick={uploadPrompt}
|
||||
disabled={!file || loading}
|
||||
loading={loading}
|
||||
radius="md"
|
||||
leftSection={!loading && <IconUpload size={18} />}
|
||||
fullWidth
|
||||
>
|
||||
{loading ? "Uploading..." : "Upload Prompt"}
|
||||
</Button>
|
||||
|
||||
{/* --- Response Section --- */}
|
||||
{result && (
|
||||
<>
|
||||
{result.success ? (
|
||||
<Alert
|
||||
icon={<IconCheck size={16} />}
|
||||
color="green"
|
||||
title="Upload berhasil!"
|
||||
radius="md"
|
||||
>
|
||||
Prompt file sudah terdaftar.
|
||||
</Alert>
|
||||
) : (
|
||||
<Alert
|
||||
icon={<IconAlertTriangle size={16} />}
|
||||
color="red"
|
||||
title="Gagal upload"
|
||||
radius="md"
|
||||
>
|
||||
{result.error}
|
||||
</Alert>
|
||||
)}
|
||||
|
||||
<Card shadow="sm" p="md" radius="md" bg="#fafafa" withBorder>
|
||||
<Text fw={600} mb={4}>Server Response:</Text>
|
||||
<Code block>
|
||||
{JSON.stringify(result, null, 2)}
|
||||
</Code>
|
||||
</Card>
|
||||
</>
|
||||
)}
|
||||
</Stack>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
162
src/pages/dashboard/chatterbox-tts/ChatterboxTTSAsync.tsx
Normal file
162
src/pages/dashboard/chatterbox-tts/ChatterboxTTSAsync.tsx
Normal file
@@ -0,0 +1,162 @@
|
||||
import { useEffect, useState } from "react";
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
Textarea,
|
||||
Select,
|
||||
Stack,
|
||||
Text,
|
||||
Loader,
|
||||
Alert,
|
||||
Group,
|
||||
Code,
|
||||
TextInput
|
||||
} from "@mantine/core";
|
||||
import { IconAlertTriangle, IconPlayerPlay } from "@tabler/icons-react";
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
import { useLocalStorage } from "@mantine/hooks";
|
||||
|
||||
export default function ChatterboxTTSAsync() {
|
||||
const [text, setText] = useState("");
|
||||
const [prompt, setPrompt] = useState<string | null>(null);
|
||||
const [title, setTitle] = useState("");
|
||||
|
||||
const [promptList, setPromptList] = useState<string[]>([]);
|
||||
const [loadingPrompt, setLoadingPrompt] = useState(false);
|
||||
|
||||
const [result, setResult] = useState<any>(null);
|
||||
const [loading, setLoading] = useState(false);
|
||||
const [error, setError] = useState<string | null>(null);
|
||||
|
||||
// Load available prompts
|
||||
const loadPrompts = async () => {
|
||||
setLoadingPrompt(true);
|
||||
try {
|
||||
const res = await apiFetch.api["chatterbox-tts"]["list-prompt"].get();
|
||||
setPromptList(res.data?.data?.prompt_names || []);
|
||||
} catch (err) {
|
||||
console.error(err);
|
||||
} finally {
|
||||
setLoadingPrompt(false);
|
||||
}
|
||||
};
|
||||
|
||||
useEffect(() => {
|
||||
loadPrompts();
|
||||
}, []);
|
||||
|
||||
const sendTTS = async () => {
|
||||
setLoading(true);
|
||||
setError(null);
|
||||
setResult(null);
|
||||
|
||||
if (!text) {
|
||||
setError("Text is required");
|
||||
return;
|
||||
}
|
||||
|
||||
if (!prompt) {
|
||||
setError("Prompt is required");
|
||||
return;
|
||||
}
|
||||
|
||||
if (!title) {
|
||||
setError("Title is required");
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const res = await apiFetch.api["chatterbox-tts"]["tts-async"].post({
|
||||
text,
|
||||
prompt: prompt || "",
|
||||
title: title || ""
|
||||
});
|
||||
|
||||
setResult(res.data);
|
||||
|
||||
} catch (err) {
|
||||
setError(err + "");
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Card shadow="md" radius="lg" p="xl" withBorder>
|
||||
<Stack gap="lg">
|
||||
|
||||
{/* Title */}
|
||||
<Text fw={700} size="xl">
|
||||
🔊 TTS Async Generator
|
||||
</Text>
|
||||
<TextInput
|
||||
label="Title"
|
||||
placeholder="Masukkan judul"
|
||||
value={title}
|
||||
onChange={(e) => setTitle(e.currentTarget.value)}
|
||||
/>
|
||||
|
||||
{/* Input text */}
|
||||
<Textarea
|
||||
label="Text to Convert"
|
||||
placeholder="Masukkan teks untuk diubah menjadi audio..."
|
||||
minRows={3}
|
||||
autosize
|
||||
value={text}
|
||||
onChange={(e) => setText(e.currentTarget.value)}
|
||||
/>
|
||||
|
||||
{/* Select Prompt */}
|
||||
<Select
|
||||
label="Voice Prompt"
|
||||
placeholder={loadingPrompt ? "Loading prompts..." : "Select voice prompt"}
|
||||
data={promptList}
|
||||
value={prompt}
|
||||
onChange={setPrompt}
|
||||
searchable
|
||||
disabled={loadingPrompt}
|
||||
nothingFoundMessage="No prompt found"
|
||||
/>
|
||||
|
||||
{/* Generate Button */}
|
||||
<Button
|
||||
onClick={sendTTS}
|
||||
loading={loading}
|
||||
disabled={!text || !prompt}
|
||||
leftSection={<IconPlayerPlay size={16} />}
|
||||
radius="md"
|
||||
>
|
||||
Generate TTS
|
||||
</Button>
|
||||
|
||||
{/* Error */}
|
||||
{error && (
|
||||
<Alert
|
||||
icon={<IconAlertTriangle />}
|
||||
title="Error"
|
||||
color="red"
|
||||
radius="md"
|
||||
>
|
||||
{error}
|
||||
</Alert>
|
||||
)}
|
||||
|
||||
{/* Result */}
|
||||
{result && (
|
||||
<Card shadow="sm" p="md" radius="md" bg="#fafafa" withBorder>
|
||||
<Stack>
|
||||
<Text fw={700}>Job Enqueued</Text>
|
||||
<Text size="sm">
|
||||
Job ID: <Code>{result?.job_id}</Code>
|
||||
</Text>
|
||||
<Text c="dimmed">
|
||||
Use endpoint <Code>/result/{result?.job_id}</Code> to poll output.
|
||||
</Text>
|
||||
</Stack>
|
||||
</Card>
|
||||
)}
|
||||
|
||||
</Stack>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
18
src/pages/dashboard/chatterbox-tts/chatterbox-tts-_page.tsx
Normal file
18
src/pages/dashboard/chatterbox-tts/chatterbox-tts-_page.tsx
Normal file
@@ -0,0 +1,18 @@
|
||||
import { Container, Stack } from "@mantine/core";
|
||||
import ChatterboxRegisterPromptFile from "./ChatterboxRegisterPromptFile";
|
||||
import ChatterboxListPrompt from "./ChatterboxListPrompt";
|
||||
import ChatterboxTTSAsync from "./ChatterboxTTSAsync";
|
||||
import ChatterboxListFile from "./ChatterboxListFile";
|
||||
|
||||
export default function ChatterboxTTSPage() {
|
||||
return (
|
||||
<Container size="md" w={"100%"}>
|
||||
<Stack>
|
||||
<ChatterboxRegisterPromptFile />
|
||||
<ChatterboxListPrompt />
|
||||
<ChatterboxTTSAsync />
|
||||
<ChatterboxListFile />
|
||||
</Stack>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,5 @@
|
||||
import { Outlet } from "react-router-dom";
|
||||
|
||||
export default function ChatterboxTTSLayout() {
|
||||
return <Outlet />;
|
||||
}
|
||||
228
src/pages/dashboard/dashboard_layout.tsx
Normal file
228
src/pages/dashboard/dashboard_layout.tsx
Normal file
@@ -0,0 +1,228 @@
|
||||
import { useEffect, useState } from "react";
|
||||
|
||||
import {
|
||||
ActionIcon,
|
||||
AppShell,
|
||||
Avatar,
|
||||
Button,
|
||||
Card,
|
||||
Divider,
|
||||
Flex,
|
||||
Group,
|
||||
NavLink,
|
||||
Paper,
|
||||
ScrollArea,
|
||||
Stack,
|
||||
Text,
|
||||
Title,
|
||||
Tooltip,
|
||||
} from "@mantine/core";
|
||||
import { useLocalStorage } from "@mantine/hooks";
|
||||
import {
|
||||
IconChevronLeft,
|
||||
IconChevronRight,
|
||||
IconDashboard,
|
||||
IconKey,
|
||||
IconTextCaption,
|
||||
IconTextGrammar,
|
||||
} from "@tabler/icons-react";
|
||||
import type { User } from "generated/prisma";
|
||||
import { Navigate, Outlet, useLocation, useNavigate } from "react-router-dom";
|
||||
|
||||
import {
|
||||
default as clientRoute,
|
||||
default as clientRoutes,
|
||||
} from "@/clientRoutes";
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
import ProtectedRoute from "@/components/ProtectedRoute";
|
||||
import { modals } from "@mantine/modals";
|
||||
|
||||
/* ----------------------- Logout ----------------------- */
|
||||
function Logout() {
|
||||
return (
|
||||
<Group justify="flex-end">
|
||||
<Button
|
||||
variant="light"
|
||||
color="red"
|
||||
size="xs"
|
||||
onClick={async () => {
|
||||
modals.openConfirmModal({
|
||||
title: "Confirm Logout",
|
||||
children: "Are you sure you want to logout?",
|
||||
labels: { confirm: "Logout", cancel: "Cancel" },
|
||||
confirmProps: { color: "red" },
|
||||
onCancel: () => {},
|
||||
onConfirm: async () => {
|
||||
await apiFetch.auth.logout.delete();
|
||||
localStorage.removeItem("token");
|
||||
window.location.href = "/login";
|
||||
},
|
||||
});
|
||||
}}
|
||||
>
|
||||
Logout
|
||||
</Button>
|
||||
</Group>
|
||||
);
|
||||
}
|
||||
|
||||
/* ----------------------- Layout ----------------------- */
|
||||
export default function DashboardLayout() {
|
||||
const [opened, setOpened] = useLocalStorage({
|
||||
key: "nav_open",
|
||||
defaultValue: true,
|
||||
});
|
||||
|
||||
return (
|
||||
<AppShell
|
||||
padding="md"
|
||||
navbar={{
|
||||
width: 260,
|
||||
breakpoint: "sm",
|
||||
collapsed: { mobile: !opened, desktop: !opened },
|
||||
}}
|
||||
>
|
||||
{/* NAVBAR */}
|
||||
<AppShell.Navbar p="sm">
|
||||
{/* Collapse toggle */}
|
||||
<AppShell.Section>
|
||||
<Group justify="flex-end">
|
||||
<Tooltip
|
||||
label={opened ? "Collapse navigation" : "Expand navigation"}
|
||||
withArrow
|
||||
>
|
||||
<ActionIcon
|
||||
variant="light"
|
||||
color="gray"
|
||||
onClick={() => setOpened((v) => !v)}
|
||||
radius="xl"
|
||||
>
|
||||
{opened ? <IconChevronLeft /> : <IconChevronRight />}
|
||||
</ActionIcon>
|
||||
</Tooltip>
|
||||
</Group>
|
||||
</AppShell.Section>
|
||||
|
||||
{/* Navigation */}
|
||||
<AppShell.Section grow component={ScrollArea} mt="sm">
|
||||
<NavigationDashboard />
|
||||
</AppShell.Section>
|
||||
|
||||
{/* User info */}
|
||||
<AppShell.Section>
|
||||
<HostView />
|
||||
</AppShell.Section>
|
||||
</AppShell.Navbar>
|
||||
|
||||
{/* MAIN CONTENT */}
|
||||
<AppShell.Main>
|
||||
<Stack gap={"0"}>
|
||||
{!opened && (
|
||||
<Tooltip label="Open navigation menu" withArrow m={"lg"}>
|
||||
<ActionIcon
|
||||
variant="light"
|
||||
color="gray"
|
||||
onClick={() => setOpened(true)}
|
||||
radius="xl"
|
||||
>
|
||||
<IconChevronRight />
|
||||
</ActionIcon>
|
||||
</Tooltip>
|
||||
)}
|
||||
<ProtectedRoute />
|
||||
</Stack>
|
||||
</AppShell.Main>
|
||||
</AppShell>
|
||||
);
|
||||
}
|
||||
|
||||
/* ----------------------- Host Info ----------------------- */
|
||||
function HostView() {
|
||||
const [host, setHost] = useState<User | null>(null);
|
||||
|
||||
useEffect(() => {
|
||||
async function fetchHost() {
|
||||
const { data } = await apiFetch.api.user.find.get();
|
||||
setHost(data?.user ?? null);
|
||||
}
|
||||
fetchHost();
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<Card radius="md" withBorder shadow="xs" p="md">
|
||||
{host ? (
|
||||
<Stack gap="sm">
|
||||
<Flex gap="md" align="center">
|
||||
<Avatar size="lg" radius="xl" color="blue">
|
||||
{host.name?.[0]}
|
||||
</Avatar>
|
||||
|
||||
<Stack gap={2}>
|
||||
<Text fw={600} size="sm">
|
||||
{host.name}
|
||||
</Text>
|
||||
<Text size="xs" c="dimmed">
|
||||
{host.email}
|
||||
</Text>
|
||||
</Stack>
|
||||
</Flex>
|
||||
|
||||
<Divider />
|
||||
<Logout />
|
||||
</Stack>
|
||||
) : (
|
||||
<Text size="sm" c="dimmed" ta="center">
|
||||
No host information available
|
||||
</Text>
|
||||
)}
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
/* ----------------------- Navigation ----------------------- */
|
||||
function NavigationDashboard() {
|
||||
const navigate = useNavigate();
|
||||
const location = useLocation();
|
||||
|
||||
const isActive = (path: keyof typeof clientRoute) =>
|
||||
location.pathname.startsWith(clientRoute[path]);
|
||||
|
||||
return (
|
||||
<Stack gap="xs">
|
||||
<NavLink
|
||||
active={isActive("/dashboard/dashboard")}
|
||||
leftSection={<IconDashboard size={18} />}
|
||||
label="Dashboard Overview"
|
||||
description="Quick summary and activity highlights"
|
||||
onClick={() => navigate(clientRoutes["/dashboard/dashboard"])}
|
||||
/>
|
||||
|
||||
<NavLink
|
||||
active={isActive("/dashboard/apikey/apikey")}
|
||||
leftSection={<IconKey size={18} />}
|
||||
label="API Keys"
|
||||
description="Manage your API credentials"
|
||||
onClick={() => navigate(clientRoutes["/dashboard/apikey/apikey"])}
|
||||
/>
|
||||
|
||||
<NavLink
|
||||
active={isActive("/dashboard/tiktok-tts/tiktok-tts")}
|
||||
leftSection={<IconTextCaption size={18} />}
|
||||
label="Tiktok TTS"
|
||||
description="Manage your Tiktok TTS"
|
||||
onClick={() =>
|
||||
navigate(clientRoutes["/dashboard/tiktok-tts/tiktok-tts"])
|
||||
}
|
||||
/>
|
||||
<NavLink
|
||||
active={isActive("/dashboard/chatterbox-tts/chatterbox-tts")}
|
||||
leftSection={<IconTextGrammar size={18} />}
|
||||
label="Chatterbox TTS"
|
||||
description="Manage your Chatterbox TTS"
|
||||
onClick={() =>
|
||||
navigate(clientRoutes["/dashboard/chatterbox-tts/chatterbox-tts"])
|
||||
}
|
||||
/>
|
||||
</Stack>
|
||||
);
|
||||
}
|
||||
118
src/pages/dashboard/dashboard_page.tsx
Normal file
118
src/pages/dashboard/dashboard_page.tsx
Normal file
@@ -0,0 +1,118 @@
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
Container,
|
||||
Divider,
|
||||
Group,
|
||||
SimpleGrid,
|
||||
Stack,
|
||||
Table,
|
||||
Text,
|
||||
Title,
|
||||
} from "@mantine/core";
|
||||
|
||||
export default function Dashboard() {
|
||||
return (
|
||||
<Container>
|
||||
<Stack gap="lg">
|
||||
{/* -------- STATS SECTION -------- */}
|
||||
<SimpleGrid cols={{ base: 1, sm: 2, md: 4 }}>
|
||||
<Card shadow="sm" padding="lg" radius="md">
|
||||
<Text size="sm" c="dimmed">
|
||||
Total Users
|
||||
</Text>
|
||||
<Title order={3}>1,234</Title>
|
||||
</Card>
|
||||
|
||||
<Card shadow="sm" padding="lg" radius="md">
|
||||
<Text size="sm" c="dimmed">
|
||||
Active Sessions
|
||||
</Text>
|
||||
<Title order={3}>87</Title>
|
||||
</Card>
|
||||
|
||||
<Card shadow="sm" padding="lg" radius="md">
|
||||
<Text size="sm" c="dimmed">
|
||||
API Calls today
|
||||
</Text>
|
||||
<Title order={3}>12,490</Title>
|
||||
</Card>
|
||||
|
||||
<Card shadow="sm" padding="lg" radius="md">
|
||||
<Text size="sm" c="dimmed">
|
||||
Errors
|
||||
</Text>
|
||||
<Title order={3}>5</Title>
|
||||
</Card>
|
||||
</SimpleGrid>
|
||||
|
||||
{/* -------- QUICK ACTIONS -------- */}
|
||||
<Card shadow="sm" radius="md" padding="lg">
|
||||
<Group justify="space-between" mb="sm">
|
||||
<Title order={4}>Quick Actions</Title>
|
||||
</Group>
|
||||
|
||||
<Group>
|
||||
<Button>Add API Key</Button>
|
||||
<Button variant="outline">Manage Users</Button>
|
||||
<Button variant="light">View Logs</Button>
|
||||
</Group>
|
||||
</Card>
|
||||
|
||||
{/* -------- ACTIVITY TABLE -------- */}
|
||||
<Card shadow="sm" radius="md" padding="lg">
|
||||
<Stack gap="md">
|
||||
<Title order={4}>Recent Activity</Title>
|
||||
<Divider />
|
||||
|
||||
<Table striped highlightOnHover withTableBorder withColumnBorders>
|
||||
<Table.Thead>
|
||||
<Table.Tr>
|
||||
<Table.Th>User</Table.Th>
|
||||
<Table.Th>Action</Table.Th>
|
||||
<Table.Th>Date</Table.Th>
|
||||
<Table.Th>Status</Table.Th>
|
||||
</Table.Tr>
|
||||
</Table.Thead>
|
||||
|
||||
<Table.Tbody>
|
||||
<Table.Tr>
|
||||
<Table.Td>John Doe</Table.Td>
|
||||
<Table.Td>Generated new API key</Table.Td>
|
||||
<Table.Td>2025-01-21</Table.Td>
|
||||
<Table.Td>
|
||||
<Button size="xs" variant="light" color="green">
|
||||
Success
|
||||
</Button>
|
||||
</Table.Td>
|
||||
</Table.Tr>
|
||||
|
||||
<Table.Tr>
|
||||
<Table.Td>Ana Smith</Table.Td>
|
||||
<Table.Td>Deleted session</Table.Td>
|
||||
<Table.Td>2025-01-20</Table.Td>
|
||||
<Table.Td>
|
||||
<Button size="xs" variant="light" color="blue">
|
||||
Info
|
||||
</Button>
|
||||
</Table.Td>
|
||||
</Table.Tr>
|
||||
|
||||
<Table.Tr>
|
||||
<Table.Td>Michael</Table.Td>
|
||||
<Table.Td>Failed login attempt</Table.Td>
|
||||
<Table.Td>2025-01-19</Table.Td>
|
||||
<Table.Td>
|
||||
<Button size="xs" variant="light" color="red">
|
||||
Error
|
||||
</Button>
|
||||
</Table.Td>
|
||||
</Table.Tr>
|
||||
</Table.Tbody>
|
||||
</Table>
|
||||
</Stack>
|
||||
</Card>
|
||||
</Stack>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
5
src/pages/dashboard/tiktok-tts/tiktok_tts_layout.tsx
Normal file
5
src/pages/dashboard/tiktok-tts/tiktok_tts_layout.tsx
Normal file
@@ -0,0 +1,5 @@
|
||||
import { Outlet } from "react-router-dom";
|
||||
|
||||
export default function TiktokTtsLayout() {
|
||||
return <Outlet />;
|
||||
}
|
||||
274
src/pages/dashboard/tiktok-tts/tiktok_tts_page.tsx
Normal file
274
src/pages/dashboard/tiktok-tts/tiktok_tts_page.tsx
Normal file
@@ -0,0 +1,274 @@
|
||||
import apiFetch from "@/lib/apiFetch";
|
||||
import {
|
||||
Button,
|
||||
Card,
|
||||
Container,
|
||||
Group,
|
||||
List,
|
||||
Stack,
|
||||
Textarea,
|
||||
TextInput,
|
||||
Title,
|
||||
} from "@mantine/core";
|
||||
import { useLocalStorage, useShallowEffect } from "@mantine/hooks";
|
||||
import { showNotification } from "@mantine/notifications";
|
||||
import { useState } from "react";
|
||||
import useSWR from "swr";
|
||||
|
||||
export default function TiktokTtsPage() {
|
||||
useShallowEffect(() => {
|
||||
const chat = apiFetch.api["tts-tiktok"].ws.subscribe();
|
||||
chat.subscribe((message) => {
|
||||
console.log("got", message);
|
||||
});
|
||||
|
||||
chat.on("open", () => {
|
||||
chat.send("hello from client");
|
||||
});
|
||||
}, []);
|
||||
|
||||
return (
|
||||
<Container size={"md"} w={"100%"}>
|
||||
<Stack gap="lg">
|
||||
<Title order={4}>Tiktok TTS</Title>
|
||||
<GenerateTts />
|
||||
<ListAudio />
|
||||
</Stack>
|
||||
</Container>
|
||||
);
|
||||
}
|
||||
|
||||
function GenerateTts() {
|
||||
const [fileName, setFileName] = useLocalStorage({
|
||||
key: "fileName",
|
||||
defaultValue: "",
|
||||
});
|
||||
const [session_id, setSessionId] = useLocalStorage({
|
||||
key: "session_id",
|
||||
defaultValue: "",
|
||||
});
|
||||
const [text, setText] = useLocalStorage({
|
||||
key: "text",
|
||||
defaultValue: "",
|
||||
});
|
||||
|
||||
const [loading, setLoading] = useState(false);
|
||||
|
||||
const generate = async () => {
|
||||
try {
|
||||
setLoading(true);
|
||||
if (!session_id || !text || !fileName)
|
||||
return showNotification({
|
||||
title: "Error",
|
||||
message: "Session ID atau Text tidak boleh kosong",
|
||||
color: "red",
|
||||
});
|
||||
const { data } = await apiFetch.api["tts-tiktok"].generate.post({
|
||||
text,
|
||||
sessionId: session_id,
|
||||
file_name: fileName,
|
||||
});
|
||||
console.log(data);
|
||||
showNotification({
|
||||
title: "Success",
|
||||
message: "TTS berhasil di generate",
|
||||
color: "green",
|
||||
});
|
||||
|
||||
setText("");
|
||||
} catch (error) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "Gagal generate TTS",
|
||||
color: "red",
|
||||
});
|
||||
} finally {
|
||||
setLoading(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<Card shadow="sm" radius="md" padding="lg">
|
||||
<Stack gap="md">
|
||||
<Title order={4}>Generate TTS</Title>
|
||||
<TextInput
|
||||
placeholder="session_id"
|
||||
value={session_id}
|
||||
onChange={(e) => setSessionId(e.currentTarget.value)}
|
||||
/>
|
||||
<TextInput
|
||||
placeholder="file_name"
|
||||
value={fileName}
|
||||
onChange={(e) => setFileName(e.currentTarget.value)}
|
||||
/>
|
||||
<Textarea
|
||||
placeholder="text"
|
||||
autosize
|
||||
minRows={3}
|
||||
maxRows={10}
|
||||
value={text}
|
||||
onChange={(e) => setText(e.currentTarget.value)}
|
||||
/>
|
||||
<Group>
|
||||
<Button onClick={generate} loading={loading}>
|
||||
Generate
|
||||
</Button>
|
||||
</Group>
|
||||
</Stack>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
|
||||
function ListAudio() {
|
||||
const { data, error, isLoading, mutate } = useSWR(
|
||||
"/x",
|
||||
apiFetch.api["tts-tiktok"]["list-audio"].get,
|
||||
{ refreshInterval: 3000, revalidateOnFocus: true },
|
||||
);
|
||||
|
||||
const [audioUrl, setAudioUrl] = useState<string | null>(null);
|
||||
|
||||
const playAudio = async (filename: string) => {
|
||||
const { error, response } = await apiFetch.api["tts-tiktok"]
|
||||
["download"]({ filename })
|
||||
.get();
|
||||
|
||||
if (error) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "Gagal download audio",
|
||||
color: "red",
|
||||
});
|
||||
return;
|
||||
}
|
||||
|
||||
const res = await fetch(response.url);
|
||||
const blob = await res.blob();
|
||||
const url = URL.createObjectURL(blob);
|
||||
setAudioUrl(url);
|
||||
};
|
||||
|
||||
const downloadAudio = async (filename: string) => {
|
||||
const { error, response } = await apiFetch.api["tts-tiktok"]
|
||||
["download"]({ filename })
|
||||
.get();
|
||||
|
||||
if (error) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "Gagal download file",
|
||||
color: "red",
|
||||
});
|
||||
return;
|
||||
}
|
||||
|
||||
const res = await fetch(response.url);
|
||||
const blob = await res.blob();
|
||||
const url = URL.createObjectURL(blob);
|
||||
|
||||
const a = document.createElement("a");
|
||||
a.href = url;
|
||||
a.download = filename;
|
||||
a.click();
|
||||
URL.revokeObjectURL(url);
|
||||
};
|
||||
|
||||
const deleteAudio = async (filename: string) => {
|
||||
const { error } = await apiFetch.api["tts-tiktok"]
|
||||
.remove({ filename })
|
||||
.delete();
|
||||
|
||||
if (error) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "Gagal menghapus file",
|
||||
color: "red",
|
||||
});
|
||||
return;
|
||||
}
|
||||
|
||||
showNotification({
|
||||
title: "Success",
|
||||
message: `File ${filename} dihapus`,
|
||||
color: "green",
|
||||
});
|
||||
|
||||
mutate(); // refresh list
|
||||
};
|
||||
|
||||
const deleteAll = async () => {
|
||||
const { error } = await apiFetch.api["tts-tiktok"].clear.delete();
|
||||
|
||||
if (error) {
|
||||
showNotification({
|
||||
title: "Error",
|
||||
message: "Gagal menghapus semua file",
|
||||
color: "red",
|
||||
});
|
||||
return;
|
||||
}
|
||||
|
||||
showNotification({
|
||||
title: "Success",
|
||||
message: "Semua file berhasil dihapus",
|
||||
color: "green",
|
||||
});
|
||||
|
||||
mutate();
|
||||
setAudioUrl(null);
|
||||
};
|
||||
|
||||
if (isLoading) return <div>Loading...</div>;
|
||||
if (error) return <div>Error: {error.message}</div>;
|
||||
|
||||
return (
|
||||
<Card shadow="sm" radius="md" padding="lg">
|
||||
<Stack gap="md">
|
||||
<Group justify="space-between">
|
||||
<Title order={4}>List Audio</Title>
|
||||
|
||||
<Button color="red" size="xs" variant="outline" onClick={deleteAll}>
|
||||
Hapus Semua
|
||||
</Button>
|
||||
</Group>
|
||||
|
||||
{(data?.data?.data || []).map((audio) => (
|
||||
<Group justify="space-between" key={audio}>
|
||||
{audio}
|
||||
<Group gap={8}>
|
||||
<Button size="xs" onClick={() => playAudio(audio)}>
|
||||
Play
|
||||
</Button>
|
||||
|
||||
<Button
|
||||
size="xs"
|
||||
variant="light"
|
||||
onClick={() => downloadAudio(audio)}
|
||||
>
|
||||
Download
|
||||
</Button>
|
||||
|
||||
<Button
|
||||
size="xs"
|
||||
color="red"
|
||||
variant="outline"
|
||||
onClick={() => deleteAudio(audio)}
|
||||
>
|
||||
Delete
|
||||
</Button>
|
||||
</Group>
|
||||
</Group>
|
||||
))}
|
||||
|
||||
{audioUrl && (
|
||||
<audio
|
||||
src={audioUrl}
|
||||
controls
|
||||
autoPlay
|
||||
style={{ width: "100%", marginTop: 10 }}
|
||||
/>
|
||||
)}
|
||||
</Stack>
|
||||
</Card>
|
||||
);
|
||||
}
|
||||
8
src/react.svg
Normal file
8
src/react.svg
Normal file
@@ -0,0 +1,8 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" viewBox="-11.5 -10.23174 23 20.46348">
|
||||
<circle cx="0" cy="0" r="2.05" fill="#61dafb"/>
|
||||
<g stroke="#61dafb" stroke-width="1" fill="none">
|
||||
<ellipse rx="11" ry="4.2"/>
|
||||
<ellipse rx="11" ry="4.2" transform="rotate(60)"/>
|
||||
<ellipse rx="11" ry="4.2" transform="rotate(120)"/>
|
||||
</g>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 338 B |
11
src/routeTypes.ts
Normal file
11
src/routeTypes.ts
Normal file
@@ -0,0 +1,11 @@
|
||||
|
||||
export type AppRoute = "/login" | "/" | "/register" | "/dashboard" | "/dashboard/chatterbox-tts" | "/dashboard/chatterbox-tts/chatterbox-tts" | "/dashboard/apikey/apikey" | "/dashboard/dashboard" | "/dashboard/tiktok-tts" | "/dashboard/tiktok-tts/tiktok-tts";
|
||||
|
||||
export function route(path: AppRoute, params?: Record<string,string|number>) {
|
||||
if (!params) return path;
|
||||
let final = path;
|
||||
for (const k of Object.keys(params)) {
|
||||
final = final.replace(":" + k, params[k] + "") as AppRoute;
|
||||
}
|
||||
return final;
|
||||
}
|
||||
27
src/server/lib/chatterbox.env.ts
Normal file
27
src/server/lib/chatterbox.env.ts
Normal file
@@ -0,0 +1,27 @@
|
||||
import fs from 'fs'
|
||||
import path from 'path'
|
||||
const TEMP_DIR = path.resolve("./chatterbox");
|
||||
const FAILED_LOG = path.resolve(TEMP_DIR, "failed.log");
|
||||
const HOST = "https://office4-chatterbox.wibudev.com";
|
||||
const LIST_FILE_NAME = "wav-list.txt";
|
||||
const JOBS_DIR = path.resolve(TEMP_DIR, "jobs");
|
||||
const OUTPUT = path.resolve(TEMP_DIR, "output")
|
||||
const PART = path.resolve(TEMP_DIR, "part")
|
||||
|
||||
if (!fs.existsSync(TEMP_DIR)) {
|
||||
fs.mkdirSync(TEMP_DIR, { recursive: true });
|
||||
}
|
||||
|
||||
if (!fs.existsSync(JOBS_DIR)) {
|
||||
fs.mkdirSync(JOBS_DIR, { recursive: true });
|
||||
}
|
||||
|
||||
if (!fs.existsSync(OUTPUT)) {
|
||||
fs.mkdirSync(OUTPUT, { recursive: true });
|
||||
}
|
||||
|
||||
if (!fs.existsSync(PART)) {
|
||||
fs.mkdirSync(PART, { recursive: true });
|
||||
}
|
||||
|
||||
export { TEMP_DIR, FAILED_LOG, HOST, JOBS_DIR, LIST_FILE_NAME, OUTPUT, PART };
|
||||
11
src/server/lib/prisma.ts
Normal file
11
src/server/lib/prisma.ts
Normal file
@@ -0,0 +1,11 @@
|
||||
import { PrismaClient } from 'generated/prisma'
|
||||
|
||||
const globalForPrisma = globalThis as unknown as {
|
||||
prisma: PrismaClient | undefined
|
||||
}
|
||||
|
||||
export const prisma = globalForPrisma.prisma ?? new PrismaClient()
|
||||
|
||||
if (process.env.NODE_ENV !== 'production') {
|
||||
globalForPrisma.prisma = prisma
|
||||
}
|
||||
182
src/server/lib/tts_chatterbox.ts
Normal file
182
src/server/lib/tts_chatterbox.ts
Normal file
@@ -0,0 +1,182 @@
|
||||
import fs from "fs";
|
||||
import { HOST, JOBS_DIR, TEMP_DIR } from "./chatterbox.env";
|
||||
import path from "path";
|
||||
|
||||
// Pastikan folder temp ada
|
||||
if (!fs.existsSync(TEMP_DIR)) {
|
||||
fs.mkdirSync(TEMP_DIR, { recursive: true });
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
CLEAN TEXT (AMAN UNTUK UNICODE)
|
||||
============================================================ */
|
||||
|
||||
function convertDateToText(text: string): string {
|
||||
const months = [
|
||||
"Januari", "Februari", "Maret", "April", "Mei", "Juni",
|
||||
"Juli", "Agustus", "September", "Oktober", "November", "Desember"
|
||||
];
|
||||
|
||||
return text.replace(/\(?(\d{1,2})\/(\d{1,2})\/(\d{4})\)?/g, (_, dd, mm, yyyy) => {
|
||||
const monthIndex = parseInt(mm, 10) - 1;
|
||||
if (monthIndex < 0 || monthIndex > 11) return _;
|
||||
return `${parseInt(dd, 10)} ${months[monthIndex]} ${yyyy}`;
|
||||
});
|
||||
}
|
||||
|
||||
function cleanText(text: string): string {
|
||||
// Ubah tanggal dulu biar lebih mudah dibaca TTS
|
||||
text = convertDateToText(text);
|
||||
|
||||
return text
|
||||
// izinkan: huruf, angka, spasi, dan . , ! ? ;
|
||||
.replace(/[^\p{L}\p{N} .,!?;]/gu, "")
|
||||
// normalkan banyak spasi menjadi 1 spasi
|
||||
.replace(/\s+/g, " ")
|
||||
// trim spasi kiri/kanan
|
||||
.trim();
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
/* ============================================================
|
||||
SPLIT TEXT (MAKSIMAL 200 CHAR + CARI TITIK/KOMA/!?)
|
||||
============================================================ */
|
||||
|
||||
function splitText(text: string, max = 200): string[] {
|
||||
const chunks: string[] = [];
|
||||
text = text.trim();
|
||||
|
||||
const isDecimal = (str: string, idx: number) => {
|
||||
// kasus angka.desimal → contoh: 1000.25 atau 1,234.56
|
||||
const before = str[idx - 1];
|
||||
const after = str[idx + 1];
|
||||
return /\d/.test(before || '') && /\d/.test(after || '');
|
||||
};
|
||||
|
||||
const isThousandsSeparator = (str: string, idx: number) => {
|
||||
// angka ribuan 1.234 atau 2,500 dll
|
||||
const before = str[idx - 1];
|
||||
const after = str[idx + 1];
|
||||
return /\d/.test(before || '') && /\d/.test(after || '');
|
||||
};
|
||||
|
||||
while (text.length > 0) {
|
||||
if (text.length <= max) {
|
||||
chunks.push(text);
|
||||
break;
|
||||
}
|
||||
|
||||
const slice = text.slice(0, max);
|
||||
|
||||
let cutIndex = -1;
|
||||
|
||||
// Cari tanda baca yang aman untuk split
|
||||
for (let i = slice.length - 1; i >= 0; i--) {
|
||||
const ch = slice[i];
|
||||
|
||||
if (".,!?;".includes(ch || '')) {
|
||||
// Abaikan jika itu bagian dari angka
|
||||
if (isDecimal(slice, i)) continue;
|
||||
if (isThousandsSeparator(slice, i)) continue;
|
||||
|
||||
cutIndex = i + 1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// Jika tidak ada tanda baca yang valid
|
||||
if (cutIndex === -1) cutIndex = max;
|
||||
|
||||
const part = text.slice(0, cutIndex).trim();
|
||||
if (part) chunks.push(part);
|
||||
|
||||
text = text.slice(cutIndex).trim();
|
||||
}
|
||||
|
||||
return chunks;
|
||||
}
|
||||
|
||||
|
||||
/* ============================================================
|
||||
FETCH WITH RETRY
|
||||
============================================================ */
|
||||
|
||||
async function fetchRetry(url: string, options: any = {}, retries = 3) {
|
||||
for (let i = 0; i < retries; i++) {
|
||||
try {
|
||||
return await fetch(url, options);
|
||||
} catch (err) {
|
||||
console.warn(`Fetch attempt ${i + 1} failed:`, err);
|
||||
if (i === retries - 1) throw err;
|
||||
await new Promise((r) => setTimeout(r, 1000 * (i + 1)));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
TTS ASYNC REQUEST
|
||||
============================================================ */
|
||||
|
||||
async function generate(text: string, prompt: string) {
|
||||
const res = await fetchRetry(`${HOST}/tts-async`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/x-www-form-urlencoded" },
|
||||
body: new URLSearchParams({ text, prompt }),
|
||||
});
|
||||
|
||||
if (!res) {
|
||||
throw new Error("Failed to fetch result");
|
||||
}
|
||||
|
||||
let data;
|
||||
try {
|
||||
data = await res.json();
|
||||
} catch {
|
||||
throw new Error("Invalid JSON response from server");
|
||||
}
|
||||
|
||||
if (!data.job_id) {
|
||||
console.error("❌ Response tidak mengandung job_id:", data);
|
||||
throw new Error("job_id missing in generate response");
|
||||
}
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
|
||||
/* ============================================================
|
||||
MAIN
|
||||
============================================================ */
|
||||
|
||||
export async function tts_chatterbox(rowText: string, prompt: string, jobs_name: string) {
|
||||
|
||||
const text = cleanText(rowText);
|
||||
|
||||
const parts = splitText(text, 260);
|
||||
|
||||
console.log(`📝 Total chunks: ${parts.length}\n`);
|
||||
|
||||
const jobs: string[] = [];
|
||||
|
||||
// SEND JOBS
|
||||
console.log("📤 Sending jobs to server...");
|
||||
for (let i = 0; i < parts.length; i++) {
|
||||
try {
|
||||
const res = await generate(parts[i] as string, prompt);
|
||||
jobs.push(res.job_id);
|
||||
console.log(` ✓ Job ${i + 1}/${parts.length}: ${res.job_id}`);
|
||||
} catch (error) {
|
||||
console.error(`❌ Failed to generate job for chunk ${i + 1}:`, error);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
const jobs_file = path.join(JOBS_DIR, `${jobs_name}.json`);
|
||||
console.log(`\n✅ All ${jobs.length} jobs submitted\n`);
|
||||
fs.writeFileSync(jobs_file, JSON.stringify(jobs));
|
||||
|
||||
return jobs;
|
||||
}
|
||||
|
||||
121
src/server/lib/tts_chatterbox_download.ts
Normal file
121
src/server/lib/tts_chatterbox_download.ts
Normal file
@@ -0,0 +1,121 @@
|
||||
|
||||
import fs from "fs";
|
||||
import path from "path";
|
||||
import { FAILED_LOG, HOST, JOBS_DIR, PART } from "./chatterbox.env";
|
||||
import randomstring from "randomstring";
|
||||
// const sub_name = randomstring.generate({ length: 5, charset: "alphanumeric" });
|
||||
|
||||
/* ============================================================
|
||||
DOWNLOAD
|
||||
============================================================ */
|
||||
|
||||
// tidur
|
||||
const sleep = (ms: number) => new Promise((res) => setTimeout(res, ms));
|
||||
|
||||
// cek apakah file sudah ada
|
||||
function fileExists(path: string) {
|
||||
return fs.existsSync(path) && fs.statSync(path).size > 44;
|
||||
}
|
||||
|
||||
// tulis log gagal
|
||||
function logFail(msg: string) {
|
||||
fs.appendFileSync(FAILED_LOG, msg + "\n");
|
||||
}
|
||||
|
||||
async function downloadWithRetry(jobId: string, outFile: string) {
|
||||
const MAX_RETRY = 5;
|
||||
|
||||
// jika sebelumnya sudah ada → skip
|
||||
if (fileExists(outFile)) {
|
||||
console.log(` 🔁 Resume: file sudah ada → ${outFile}`);
|
||||
return true;
|
||||
}
|
||||
|
||||
for (let attempt = 1; attempt <= MAX_RETRY; attempt++) {
|
||||
try {
|
||||
console.log(` ⏳ Download ${jobId} (try ${attempt}/${MAX_RETRY})...`);
|
||||
const res = await fetch(`${HOST}/file/${jobId}`);
|
||||
|
||||
if (!res.ok) {
|
||||
throw new Error(`Status ${res.status}`);
|
||||
}
|
||||
|
||||
const buf = Buffer.from(await res.arrayBuffer());
|
||||
|
||||
// pastikan ukurannya wajar
|
||||
if (buf.length < 44) {
|
||||
throw new Error("File terlalu kecil (korup?)");
|
||||
}
|
||||
|
||||
fs.writeFileSync(outFile, buf);
|
||||
console.log(` ✓ Success → ${outFile}`);
|
||||
return true;
|
||||
} catch (err: any) {
|
||||
console.error(` ❌ Error: ${err.message}`);
|
||||
if (attempt < MAX_RETRY) {
|
||||
console.log(" 🔄 Retry dalam 2s...");
|
||||
await sleep(2000);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.error(` ❌ Gagal total untuk ${jobId}`);
|
||||
logFail(jobId);
|
||||
return false;
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* Download all jobs
|
||||
* @returns
|
||||
*/
|
||||
export async function download(jobs_name: string) {
|
||||
const JOBS_FILE = path.join(JOBS_DIR, `${jobs_name}.json`);
|
||||
if (!fs.existsSync(JOBS_FILE)) {
|
||||
console.error("❌ jobs.json not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const jobs = JSON.parse(fs.readFileSync(JOBS_FILE, "utf-8"));
|
||||
console.log(`📦 Total jobs: ${jobs.length}`);
|
||||
|
||||
const lastJobIndex = jobs.length - 1;
|
||||
const lastJobId = jobs[lastJobIndex];
|
||||
|
||||
const resLastJob = await fetch(`${HOST}/file/${lastJobId}`);
|
||||
if (!resLastJob.ok) {
|
||||
return {
|
||||
success: false,
|
||||
message: `Failed to download last job: ${lastJobId} or on generate`,
|
||||
data: null
|
||||
}
|
||||
}
|
||||
|
||||
const resultFiles: string[] = [];
|
||||
|
||||
await fs.promises.rm(PART, { recursive: true }).catch(() => {});
|
||||
await fs.promises.mkdir(PART, { recursive: true }).catch(() => {});
|
||||
|
||||
for (let i = 0; i < jobs.length; i++) {
|
||||
const jobId = jobs[i];
|
||||
const outFile = `${PART}/${jobId}_${jobs_name}_${(i + 1)
|
||||
.toString()
|
||||
.padStart(4, "0")}.wav`;
|
||||
|
||||
console.log(`\n▶️ Job ${i + 1}/${jobs.length} → ${jobId}`);
|
||||
|
||||
const success = await downloadWithRetry(jobId, outFile);
|
||||
|
||||
if (success) {
|
||||
resultFiles.push(outFile);
|
||||
}
|
||||
}
|
||||
|
||||
console.log("\n🎉 DONE!");
|
||||
console.log("Result files:", resultFiles);
|
||||
return {
|
||||
success: true,
|
||||
message: "Download completed",
|
||||
data: resultFiles
|
||||
};
|
||||
}
|
||||
90
src/server/lib/tts_chatterbox_merge.ts
Normal file
90
src/server/lib/tts_chatterbox_merge.ts
Normal file
@@ -0,0 +1,90 @@
|
||||
import fs from "fs";
|
||||
import { constants as fsConstants } from "node:fs";
|
||||
import { execFile } from "node:child_process";
|
||||
import { promisify } from "node:util";
|
||||
import { LIST_FILE_NAME, OUTPUT, TEMP_DIR } from "./chatterbox.env";
|
||||
import path from "node:path";
|
||||
|
||||
const exec = promisify(execFile);
|
||||
|
||||
/**
|
||||
* Menggabungkan daftar file WAV menggunakan ffmpeg concat demuxer.
|
||||
* @param relativeFileNames Array NAMA file WAV yang berada di TEMP_DIR (misal: ['a.wav', 'b.wav']).
|
||||
* @param output Path lengkap untuk menyimpan file WAV hasil gabungan.
|
||||
*/
|
||||
async function merge(relativeFileNames: string[], output: string): Promise<void> {
|
||||
if (relativeFileNames.length === 0) {
|
||||
console.warn("⚠️ Tidak ada file untuk digabungkan. Melewati proses.");
|
||||
return;
|
||||
}
|
||||
|
||||
console.log(`\n🔧 Menggabungkan ${relativeFileNames.length} file WAV menggunakan ffmpeg...`);
|
||||
|
||||
const listFilePath = `${TEMP_DIR}/${LIST_FILE_NAME}`;
|
||||
|
||||
// Perbaikan: Tulis nama file saja tanpa prefix TEMP_DIR agar path valid saat concat
|
||||
const listContent = relativeFileNames
|
||||
.map((f) => `file '${f.replace(/'/g, "'\\''")}'`)
|
||||
.join("\n");
|
||||
|
||||
try {
|
||||
await fs.promises.writeFile(listFilePath, listContent, "utf-8");
|
||||
} catch (err) {
|
||||
console.error(`❌ Gagal menulis file list ${listFilePath}:`, err);
|
||||
throw new Error(`Gagal menyiapkan file list untuk ffmpeg.`);
|
||||
}
|
||||
|
||||
try {
|
||||
await exec("ffmpeg", [
|
||||
"-f", "concat",
|
||||
"-safe", "0",
|
||||
"-i", listFilePath,
|
||||
"-c", "copy", // Menggabungkan tanpa re-encoding
|
||||
output,
|
||||
]);
|
||||
|
||||
console.log(`✅ File berhasil digabungkan dan disimpan di: ${output}\n`);
|
||||
} catch (err) {
|
||||
console.error("❌ Kesalahan saat menjalankan ffmpeg:", err);
|
||||
if (err instanceof Error && 'stdout' in err) {
|
||||
console.error('ffmpeg stderr output:', (err as any).stderr);
|
||||
}
|
||||
throw new Error(`Penggabungan ffmpeg gagal.`);
|
||||
} finally {
|
||||
try {
|
||||
await fs.promises.unlink(listFilePath);
|
||||
} catch {
|
||||
console.warn(`⚠️ Gagal menghapus file list ${listFilePath}.`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// --- Fungsi Utama ---
|
||||
export async function merge_wav(jobs_name: string) {
|
||||
|
||||
const output = path.resolve(OUTPUT, `${jobs_name}.wav`);
|
||||
|
||||
try {
|
||||
await fs.promises.access(output, fsConstants.F_OK);
|
||||
await fs.promises.unlink(output);
|
||||
} catch (error) {}
|
||||
|
||||
|
||||
// Baca daftar file WAV dalam TEMP_DIR
|
||||
const allFiles = await fs.promises.readdir(TEMP_DIR);
|
||||
|
||||
const wavFileNames = allFiles
|
||||
.filter((f) => f.endsWith(".wav"))
|
||||
.sort((a, b) => {
|
||||
const aNum = parseInt(a?.split("_")[2] || "0");
|
||||
const bNum = parseInt(b?.split("_")[2] || "0");
|
||||
return aNum - bNum;
|
||||
});
|
||||
|
||||
try {
|
||||
await merge(wavFileNames, output);
|
||||
} catch (err) {
|
||||
console.error("⛔ Proses penggabungan utama gagal.");
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
335
src/server/lib/tts_tiktok.ts
Normal file
335
src/server/lib/tts_tiktok.ts
Normal file
@@ -0,0 +1,335 @@
|
||||
|
||||
import fs from "fs";
|
||||
import path from "path";
|
||||
import { v4 as uuid } from "uuid";
|
||||
|
||||
let sessionId: string | null = null;
|
||||
const BASE =
|
||||
"https://api16-normal-c-useast1a.tiktokv.com/media/api/text/speech/invoke/";
|
||||
|
||||
/** Konfigurasi sessionId */
|
||||
export function config(sid: string) {
|
||||
sessionId = sid;
|
||||
}
|
||||
|
||||
export async function ensureOutputDir() {
|
||||
const OUTPUT_DIR_BASE = "./tts_tiktok_output";
|
||||
const OUTPUT_DIR_PARTS = path.resolve(OUTPUT_DIR_BASE, "./part");
|
||||
const OUTPUT_DIR_FINAL = path.resolve(OUTPUT_DIR_BASE, "./final");
|
||||
await fs.promises.mkdir(OUTPUT_DIR_BASE, { recursive: true }).catch(() => { });
|
||||
await fs.promises.mkdir(OUTPUT_DIR_PARTS, { recursive: true }).catch(() => { });
|
||||
await fs.promises.mkdir(OUTPUT_DIR_FINAL, { recursive: true }).catch(() => { });
|
||||
|
||||
return {
|
||||
OUTPUT_DIR_BASE,
|
||||
OUTPUT_DIR_PARTS,
|
||||
OUTPUT_DIR_FINAL,
|
||||
}
|
||||
}
|
||||
|
||||
const { OUTPUT_DIR_BASE, OUTPUT_DIR_PARTS, OUTPUT_DIR_FINAL } = await ensureOutputDir();
|
||||
|
||||
/** ---- Utility: split text pintar (maxLen, tidak memotong kata) ---- */
|
||||
function splitTextSmart(text: string, maxLen = 200): string[] {
|
||||
const parts: string[] = [];
|
||||
let remaining = text.trim();
|
||||
|
||||
while (remaining.length > maxLen) {
|
||||
let splitPos = remaining.lastIndexOf(" ", maxLen);
|
||||
|
||||
if (splitPos === -1) {
|
||||
// tidak ada spasi — paksa split di maxLen
|
||||
splitPos = maxLen;
|
||||
}
|
||||
|
||||
const chunk = remaining.slice(0, splitPos).trim();
|
||||
if (chunk.length === 0) {
|
||||
// safety guard: jika chunk kosong karena whitespace, skip satu char
|
||||
parts.push(remaining.slice(0, maxLen));
|
||||
remaining = remaining.slice(maxLen).trim();
|
||||
} else {
|
||||
parts.push(chunk);
|
||||
remaining = remaining.slice(splitPos).trim();
|
||||
}
|
||||
}
|
||||
|
||||
if (remaining.length > 0) parts.push(remaining);
|
||||
|
||||
return parts;
|
||||
}
|
||||
|
||||
/** ---- Simple semaphore / concurrency limiter ---- */
|
||||
class Semaphore {
|
||||
private permits: number;
|
||||
private waiters: Array<() => void> = [];
|
||||
|
||||
constructor(permits: number) {
|
||||
this.permits = permits;
|
||||
}
|
||||
|
||||
async acquire(): Promise<void> {
|
||||
if (this.permits > 0) {
|
||||
this.permits--;
|
||||
return;
|
||||
}
|
||||
await new Promise<void>((resolve) => {
|
||||
this.waiters.push(() => {
|
||||
this.permits--;
|
||||
resolve();
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
release(): void {
|
||||
this.permits++;
|
||||
const next = this.waiters.shift();
|
||||
if (next) {
|
||||
// immediately give to next waiter
|
||||
next();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/** ---- Helper: sleep ms ---- */
|
||||
function sleep(ms: number) {
|
||||
return new Promise((res) => setTimeout(res, ms));
|
||||
}
|
||||
|
||||
/** ---- Fetch single TTS part with retry logic ---- */
|
||||
async function fetchTTSPartWithRetry(
|
||||
partText: string,
|
||||
partIndex: number,
|
||||
fileName: string,
|
||||
speaker: string,
|
||||
maxRetries: number
|
||||
): Promise<string> {
|
||||
const attemptFetch = async (attempt: number): Promise<string> => {
|
||||
if (!sessionId) throw new Error("sessionId belum dikonfigurasi");
|
||||
|
||||
const url =
|
||||
BASE +
|
||||
"?" +
|
||||
new URLSearchParams({
|
||||
text_speaker: speaker,
|
||||
req_text: partText,
|
||||
speaker_map_type: "0",
|
||||
aid: "1233",
|
||||
}).toString();
|
||||
|
||||
const headers = {
|
||||
Cookie: `sessionid=${sessionId}`,
|
||||
"User-Agent":
|
||||
"com.zhiliaoapp.musically/2023101630 (Linux; U; Android 13; en_US; Pixel 7; Build/TQ3A.230805.001)",
|
||||
};
|
||||
|
||||
let resp: Response;
|
||||
try {
|
||||
resp = await fetch(url, { method: "POST", headers });
|
||||
} catch (err) {
|
||||
throw new Error(`Network error on fetch (attempt ${attempt}): ${err}`);
|
||||
}
|
||||
|
||||
const contentType = resp.headers.get("content-type");
|
||||
const outputName = `${fileName}_part-${partIndex + 1}.mp3`;
|
||||
const outputPath = path.resolve(OUTPUT_DIR_PARTS, outputName);
|
||||
|
||||
try {
|
||||
if (contentType?.includes("application/json")) {
|
||||
const json = await resp.json();
|
||||
if (json.status_code !== 0) {
|
||||
throw new Error(
|
||||
`TikTok TTS error (status_code != 0) on attempt ${attempt}: ${JSON.stringify(
|
||||
json
|
||||
)}`
|
||||
);
|
||||
}
|
||||
const base64 = json.data?.v_str;
|
||||
if (!base64) throw new Error("Tidak menemukan v_str pada respons");
|
||||
const buffer = Buffer.from(base64, "base64");
|
||||
await fs.promises.writeFile(outputPath, buffer);
|
||||
} else {
|
||||
// langsung audio
|
||||
const arr = await resp.arrayBuffer();
|
||||
const buf = Buffer.from(arr);
|
||||
await fs.promises.writeFile(outputPath, buf);
|
||||
}
|
||||
|
||||
// success
|
||||
return outputPath;
|
||||
} catch (err) {
|
||||
// jika file ditulis parsial — hapus sebelum retry
|
||||
try {
|
||||
if (fs.existsSync(outputPath)) await fs.promises.unlink(outputPath);
|
||||
} catch (_) {
|
||||
// ignore
|
||||
}
|
||||
throw err;
|
||||
}
|
||||
};
|
||||
|
||||
let attempt = 0;
|
||||
let lastErr: any = null;
|
||||
while (attempt <= maxRetries) {
|
||||
try {
|
||||
return await attemptFetch(attempt + 1);
|
||||
} catch (err) {
|
||||
lastErr = err;
|
||||
attempt++;
|
||||
if (attempt > maxRetries) break;
|
||||
// exponential backoff: 500ms * 2^(attempt-1)
|
||||
const backoff = 500 * 2 ** (attempt - 1);
|
||||
await sleep(backoff + Math.random() * 200);
|
||||
}
|
||||
}
|
||||
|
||||
throw new Error(
|
||||
`Failed to fetch TTS part after ${maxRetries} retries. Last error: ${lastErr}`
|
||||
);
|
||||
}
|
||||
|
||||
/** ---- Merge parts lossless (concatenate bytes) ---- */
|
||||
async function mergeMP3Files(parts: string[], outputFile: string) {
|
||||
// buat write stream (Bun + Node compatible)
|
||||
const writeStream = fs.createWriteStream(outputFile);
|
||||
|
||||
for (const file of parts) {
|
||||
const buffer = await fs.promises.readFile(file);
|
||||
writeStream.write(buffer);
|
||||
}
|
||||
|
||||
writeStream.end();
|
||||
|
||||
// pastikan stream selesai (wrap event)
|
||||
await new Promise<void>((resolve, reject) => {
|
||||
writeStream.on("finish", () => resolve());
|
||||
writeStream.on("error", (e) => reject(e));
|
||||
});
|
||||
}
|
||||
|
||||
/** ---- Cleanup helper: try delete files (ignore errors) ---- */
|
||||
async function tryCleanupFiles(files: string[]) {
|
||||
for (const f of files) {
|
||||
try {
|
||||
if (fs.existsSync(f)) await fs.promises.unlink(f);
|
||||
} catch (_) {
|
||||
// ignore cleanup errors
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
async function createAudioFromText(
|
||||
params:
|
||||
{
|
||||
text: string,
|
||||
fileName?: string,
|
||||
speaker?: string
|
||||
},
|
||||
options?: { concurrency?: number; maxRetries?: number }
|
||||
): Promise<string> {
|
||||
const concurrency = options?.concurrency ?? 5;
|
||||
const maxRetries = options?.maxRetries ?? 3;
|
||||
|
||||
const { text , speaker = "id_001" } = params;
|
||||
const fileName = `${params.fileName}_${uuid()}`;
|
||||
|
||||
if (!text || !text.trim()) throw new Error("Text kosong");
|
||||
if (!sessionId) throw new Error("sessionId belum dikonfigurasi");
|
||||
|
||||
// split teks
|
||||
const chunks = splitTextSmart(text, 200);
|
||||
|
||||
// prepare semaphore
|
||||
const sem = new Semaphore(concurrency);
|
||||
|
||||
const partFiles: string[] = [];
|
||||
const tasks: Promise<void>[] = [];
|
||||
let failed = false;
|
||||
let failureError: any = null;
|
||||
|
||||
// for each chunk, create a task that respects concurrency
|
||||
for (let i = 0; i < chunks.length; i++) {
|
||||
const idx = i;
|
||||
const chunk = chunks[i];
|
||||
|
||||
const task = (async () => {
|
||||
await sem.acquire();
|
||||
try {
|
||||
const outputPath = await fetchTTSPartWithRetry(
|
||||
chunk!,
|
||||
idx,
|
||||
fileName,
|
||||
speaker,
|
||||
maxRetries
|
||||
);
|
||||
partFiles[idx] = outputPath;
|
||||
} catch (err) {
|
||||
failed = true;
|
||||
failureError = err;
|
||||
} finally {
|
||||
sem.release();
|
||||
}
|
||||
})();
|
||||
|
||||
tasks.push(task);
|
||||
}
|
||||
|
||||
// wait all tasks
|
||||
await Promise.all(tasks);
|
||||
|
||||
if (failed) {
|
||||
// cleanup any part files created
|
||||
await tryCleanupFiles(partFiles.filter(Boolean));
|
||||
throw new Error(
|
||||
`Gagal membuat beberapa part TTS. Error: ${String(failureError)}`
|
||||
);
|
||||
}
|
||||
|
||||
// merge parts
|
||||
const finalFile = path.resolve(OUTPUT_DIR_FINAL, `${fileName}.mp3`);
|
||||
try {
|
||||
// ensure parts are in order
|
||||
const orderedParts = partFiles.slice(0, chunks.length);
|
||||
await mergeMP3Files(orderedParts, finalFile);
|
||||
|
||||
// cleanup part files after merge
|
||||
await tryCleanupFiles(orderedParts);
|
||||
} catch (err) {
|
||||
// cleanup partial final file and parts
|
||||
try {
|
||||
if (fs.existsSync(finalFile)) await fs.promises.unlink(finalFile);
|
||||
} catch (_) { }
|
||||
await tryCleanupFiles(partFiles.filter(Boolean));
|
||||
throw new Error(`Gagal merge/cleanup: ${err}`);
|
||||
}
|
||||
|
||||
return finalFile;
|
||||
}
|
||||
|
||||
|
||||
export async function tts_tiktok(params: { text: string, sessionId: string, fileName?: string }, options?: { concurrency?: number; maxRetries?: number }) {
|
||||
config(params.sessionId)
|
||||
const create = await createAudioFromText({ text: params.text, fileName: params.fileName }, options);
|
||||
return path.basename(create)
|
||||
}
|
||||
|
||||
if (import.meta.main) {
|
||||
|
||||
const text = `
|
||||
Saat ini layanan pengurusan KTP secara langsung di Desa Darmasaba sedang tidak tersedia. Namun Anda tetap bisa mengurus KTP dengan langkah-langkah berikut:
|
||||
|
||||
1. Persiapkan dokumen sesuai kebutuhan, misalnya fotokopi KK, akta kelahiran, surat nikah (jika sudah menikah), atau surat keterangan hilang jika KTP lama hilang.
|
||||
2. Datang ke kantor Desa Darmasaba untuk mendapatkan surat pengantar pembuatan KTP.
|
||||
3. Serahkan dokumen dan surat pengantar tersebut ke kantor Kecamatan Abiansemal untuk proses verifikasi.
|
||||
4. Permohonan akan diteruskan ke Disdukcapil Kabupaten Badung untuk pencetakan KTP.
|
||||
5. Pengambilan KTP biasanya setelah 14 hari kerja.
|
||||
|
||||
Anda juga bisa memanfaatkan layanan perekaman e-KTP yang sudah tersedia di kantor desa agar proses lebih mudah. Untuk informasi lebih lengkap, Anda dapat mengunjungi situs resmi desa atau Disdukcapil Badung.
|
||||
|
||||
Mau saya bantu carikan info prosedur surat lain seperti surat keterangan domisili atau surat lainnya yang bisa diurus di Desa Darmasaba?
|
||||
|
||||
`
|
||||
tts_tiktok({
|
||||
text,
|
||||
sessionId: "7b7a48e1313f9413825a8544e52b1481"
|
||||
})
|
||||
}
|
||||
84
src/server/middlewares/apiAuth.ts
Normal file
84
src/server/middlewares/apiAuth.ts
Normal file
@@ -0,0 +1,84 @@
|
||||
/* eslint-disable @typescript-eslint/no-explicit-any */
|
||||
import jwt, { type JWTPayloadSpec } from '@elysiajs/jwt'
|
||||
import Elysia from 'elysia'
|
||||
import { prisma } from '../lib/prisma'
|
||||
|
||||
const secret = process.env.JWT_SECRET
|
||||
|
||||
if (!secret) {
|
||||
throw new Error('JWT_SECRET is not defined')
|
||||
}
|
||||
|
||||
export function apiAuth(app: Elysia) {
|
||||
if (!secret) {
|
||||
throw new Error('JWT_SECRET is not defined')
|
||||
}
|
||||
return app
|
||||
.use(
|
||||
jwt({
|
||||
name: 'jwt',
|
||||
secret,
|
||||
})
|
||||
)
|
||||
.derive(async ({ cookie, headers, jwt, request }) => {
|
||||
let token: string | undefined
|
||||
|
||||
// 🔸 Ambil token dari Cookie
|
||||
if (cookie?.token?.value) token = cookie.token.value as string
|
||||
|
||||
// 🔸 Ambil token dari Header (case-insensitive)
|
||||
const possibleHeaders = [
|
||||
'authorization',
|
||||
'Authorization',
|
||||
'x-token',
|
||||
'X-Token',
|
||||
]
|
||||
|
||||
for (const key of possibleHeaders) {
|
||||
const value = headers[key]
|
||||
if (typeof value === 'string') {
|
||||
token = value.startsWith('Bearer ') ? value.slice(7) : value
|
||||
break
|
||||
}
|
||||
}
|
||||
|
||||
// 🔸 Tidak ada token
|
||||
if (!token) {
|
||||
console.warn(`[AUTH] No token found for ${request.method} ${request.url}`)
|
||||
return { user: null }
|
||||
}
|
||||
|
||||
// 🔸 Verifikasi token
|
||||
try {
|
||||
const decoded = (await jwt.verify(token)) as JWTPayloadSpec
|
||||
|
||||
if (!decoded?.sub) {
|
||||
console.warn('[AUTH] Token missing sub field:', decoded)
|
||||
return { user: null }
|
||||
}
|
||||
|
||||
const user = await prisma.user.findUnique({
|
||||
where: { id: decoded.sub as string },
|
||||
})
|
||||
|
||||
if (!user) {
|
||||
console.warn('[AUTH] User not found for sub:', decoded.sub)
|
||||
return { user: null }
|
||||
}
|
||||
|
||||
return { user }
|
||||
} catch (err) {
|
||||
console.warn('[AUTH] Invalid JWT token:', err)
|
||||
return { user: null }
|
||||
}
|
||||
})
|
||||
.onBeforeHandle(({ user, set, request }) => {
|
||||
if (!user) {
|
||||
console.warn(
|
||||
`[AUTH] Unauthorized access: ${request.method} ${request.url}`
|
||||
)
|
||||
set.status = 401
|
||||
return { error: 'Unauthorized' }
|
||||
}
|
||||
})
|
||||
}
|
||||
105
src/server/routes/apikey_route.ts
Normal file
105
src/server/routes/apikey_route.ts
Normal file
@@ -0,0 +1,105 @@
|
||||
/* eslint-disable @typescript-eslint/no-explicit-any */
|
||||
import { type JWTPayloadSpec } from '@elysiajs/jwt'
|
||||
import Elysia, { t } from 'elysia'
|
||||
import { type User } from 'generated/prisma'
|
||||
|
||||
import { prisma } from '../lib/prisma'
|
||||
|
||||
const NINETY_YEARS = 60 * 60 * 24 * 365 * 90 // in seconds
|
||||
|
||||
type JWT = {
|
||||
sign(data: Record<string, string | number> & JWTPayloadSpec): Promise<string>
|
||||
verify(
|
||||
jwt?: string
|
||||
): Promise<false | (Record<string, string | number> & JWTPayloadSpec)>
|
||||
}
|
||||
|
||||
const ApiKeyRoute = new Elysia({
|
||||
prefix: '/apikey',
|
||||
detail: { tags: ['apikey'] },
|
||||
})
|
||||
.post(
|
||||
'/create',
|
||||
async ctx => {
|
||||
const { user }: { user: User } = ctx as any
|
||||
const { name, description, expiredAt } = ctx.body
|
||||
const { sign } = (ctx as any).jwt as JWT
|
||||
|
||||
// hitung expiredAt
|
||||
const exp = expiredAt
|
||||
? Math.floor(new Date(expiredAt).getTime() / 1000) // jika dikirim
|
||||
: Math.floor(Date.now() / 1000) + NINETY_YEARS // default 90 tahun
|
||||
|
||||
const token = await sign({
|
||||
sub: user.id,
|
||||
aud: 'host',
|
||||
exp,
|
||||
payload: JSON.stringify({
|
||||
name,
|
||||
description,
|
||||
expiredAt,
|
||||
}),
|
||||
})
|
||||
|
||||
const apiKey = await prisma.apiKey.create({
|
||||
data: {
|
||||
name,
|
||||
description,
|
||||
key: token,
|
||||
userId: user.id,
|
||||
expiredAt: new Date(exp * 1000), // simpan juga di DB biar gampang query
|
||||
},
|
||||
})
|
||||
|
||||
return { message: 'success', token, apiKey }
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
summary: 'create api key',
|
||||
},
|
||||
body: t.Object({
|
||||
name: t.String(),
|
||||
description: t.String(),
|
||||
expiredAt: t.Optional(t.String({ format: 'date-time' })), // ISO date string
|
||||
}),
|
||||
}
|
||||
)
|
||||
.get(
|
||||
'/list',
|
||||
async ctx => {
|
||||
const { user }: { user: User } = ctx as any
|
||||
const apiKeys = await prisma.apiKey.findMany({
|
||||
where: {
|
||||
userId: user.id,
|
||||
},
|
||||
})
|
||||
return { message: 'success', apiKeys }
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
summary: 'get api key list',
|
||||
},
|
||||
}
|
||||
)
|
||||
.delete(
|
||||
'/delete',
|
||||
async ctx => {
|
||||
const { id } = ctx.body as { id: string }
|
||||
const apiKey = await prisma.apiKey.delete({
|
||||
where: {
|
||||
id,
|
||||
},
|
||||
})
|
||||
return { message: 'success', apiKey }
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
summary: 'delete api key',
|
||||
},
|
||||
body: t.Object({
|
||||
id: t.String(),
|
||||
}),
|
||||
}
|
||||
)
|
||||
|
||||
export default ApiKeyRoute
|
||||
237
src/server/routes/auth_route.ts
Normal file
237
src/server/routes/auth_route.ts
Normal file
@@ -0,0 +1,237 @@
|
||||
/* eslint-disable @typescript-eslint/no-explicit-any */
|
||||
import { jwt as jwtPlugin, type JWTPayloadSpec } from '@elysiajs/jwt'
|
||||
import Elysia, { t, type Cookie, type HTTPHeaders, type StatusMap } from 'elysia'
|
||||
import { type ElysiaCookie } from 'elysia/cookies'
|
||||
|
||||
import { prisma } from '@/server/lib/prisma'
|
||||
|
||||
const secret = process.env.JWT_SECRET
|
||||
if (!secret) {
|
||||
throw new Error('Missing JWT_SECRET in environment variables')
|
||||
}
|
||||
|
||||
const isProd = process.env.NODE_ENV === 'production'
|
||||
const NINETY_YEARS = 60 * 60 * 24 * 365 * 90
|
||||
|
||||
type JWT = {
|
||||
sign(data: Record<string, string | number> & JWTPayloadSpec): Promise<string>
|
||||
verify(
|
||||
jwt?: string
|
||||
): Promise<false | (Record<string, string | number> & JWTPayloadSpec)>
|
||||
}
|
||||
|
||||
type COOKIE = Record<string, Cookie<string | undefined>>
|
||||
|
||||
type SET = {
|
||||
headers: HTTPHeaders
|
||||
status?: number | keyof StatusMap
|
||||
redirect?: string
|
||||
cookie?: Record<string, ElysiaCookie>
|
||||
}
|
||||
|
||||
async function issueToken({
|
||||
jwt,
|
||||
cookie,
|
||||
userId,
|
||||
role,
|
||||
expiresAt,
|
||||
}: {
|
||||
jwt: JWT
|
||||
cookie: COOKIE
|
||||
userId: string
|
||||
role: 'host' | 'user'
|
||||
expiresAt: number
|
||||
}) {
|
||||
const token = await jwt.sign({
|
||||
sub: userId,
|
||||
aud: role,
|
||||
exp: expiresAt,
|
||||
})
|
||||
|
||||
cookie.token?.set({
|
||||
value: token,
|
||||
httpOnly: true,
|
||||
secure: isProd,
|
||||
sameSite: 'strict',
|
||||
maxAge: NINETY_YEARS,
|
||||
path: '/',
|
||||
})
|
||||
|
||||
return token
|
||||
}
|
||||
|
||||
/* -----------------------
|
||||
REGISTER FUNCTION
|
||||
-------------------------*/
|
||||
async function register({
|
||||
body,
|
||||
cookie,
|
||||
set,
|
||||
jwt,
|
||||
}: {
|
||||
body: { name: string; email: string; password: string }
|
||||
cookie: COOKIE
|
||||
set: SET
|
||||
jwt: JWT
|
||||
}) {
|
||||
try {
|
||||
const { name, email, password } = body
|
||||
|
||||
// cek existing user
|
||||
const existing = await prisma.user.findUnique({ where: { email } })
|
||||
if (existing) {
|
||||
set.status = 400
|
||||
return { message: 'Email already registered' }
|
||||
}
|
||||
|
||||
// create user
|
||||
const user = await prisma.user.create({
|
||||
data: {
|
||||
name,
|
||||
email,
|
||||
password, // plaintext – bisa ditambah hash
|
||||
},
|
||||
})
|
||||
|
||||
return {
|
||||
success: true,
|
||||
message: "User registered successfully"
|
||||
}
|
||||
|
||||
} catch (err) {
|
||||
console.error('Error registering user:', err)
|
||||
set.status = 500
|
||||
return {
|
||||
message: 'Register failed',
|
||||
error:
|
||||
err instanceof Error ? err.message : JSON.stringify(err ?? null),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* -----------------------
|
||||
LOGIN FUNCTION
|
||||
-------------------------*/
|
||||
async function login({
|
||||
body,
|
||||
cookie,
|
||||
set,
|
||||
jwt,
|
||||
}: {
|
||||
body: { email: string; password: string }
|
||||
cookie: COOKIE
|
||||
set: SET
|
||||
jwt: JWT
|
||||
}) {
|
||||
try {
|
||||
const { email, password } = body
|
||||
|
||||
const user = await prisma.user.findUnique({
|
||||
where: { email },
|
||||
})
|
||||
|
||||
if (!user) {
|
||||
set.status = 401
|
||||
return { message: 'User not found' }
|
||||
}
|
||||
|
||||
if (user.password !== password) {
|
||||
set.status = 401
|
||||
return { message: 'Invalid password' }
|
||||
}
|
||||
|
||||
const token = await issueToken({
|
||||
jwt,
|
||||
cookie,
|
||||
userId: user.id,
|
||||
role: 'user',
|
||||
expiresAt: Math.floor(Date.now() / 1000) + NINETY_YEARS,
|
||||
})
|
||||
return { token }
|
||||
} catch (error) {
|
||||
console.error('Error logging in:', error)
|
||||
return {
|
||||
message: 'Login failed',
|
||||
error:
|
||||
error instanceof Error ? error.message : JSON.stringify(error ?? null),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* -----------------------
|
||||
AUTH ROUTES
|
||||
-------------------------*/
|
||||
const Auth = new Elysia({
|
||||
prefix: '/auth',
|
||||
detail: { description: 'Auth API', summary: 'Auth API', tags: ['auth'] },
|
||||
})
|
||||
.use(
|
||||
jwtPlugin({
|
||||
name: 'jwt',
|
||||
secret,
|
||||
})
|
||||
)
|
||||
|
||||
/* REGISTER */
|
||||
.post(
|
||||
'/register',
|
||||
async ({ jwt, body, cookie, set }) => {
|
||||
return await register({
|
||||
jwt: jwt as JWT,
|
||||
body,
|
||||
cookie: cookie as any,
|
||||
set: set as any,
|
||||
})
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
name: t.String(),
|
||||
email: t.String(),
|
||||
password: t.String(),
|
||||
}),
|
||||
detail: {
|
||||
description: 'Register new account',
|
||||
summary: 'register',
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
/* LOGIN */
|
||||
.post(
|
||||
'/login',
|
||||
async ({ jwt, body, cookie, set }) => {
|
||||
return await login({
|
||||
jwt: jwt as JWT,
|
||||
body,
|
||||
cookie: cookie as any,
|
||||
set: set as any,
|
||||
})
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
email: t.String(),
|
||||
password: t.String(),
|
||||
}),
|
||||
detail: {
|
||||
description: 'Login with email + password',
|
||||
summary: 'login',
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
/* LOGOUT */
|
||||
.delete(
|
||||
'/logout',
|
||||
({ cookie }) => {
|
||||
cookie.token?.remove()
|
||||
return { message: 'Logout successful' }
|
||||
},
|
||||
{
|
||||
detail: {
|
||||
description: 'Logout (clear token cookie)',
|
||||
summary: 'logout',
|
||||
},
|
||||
}
|
||||
)
|
||||
|
||||
export default Auth
|
||||
182
src/server/routes/chatterbox_tts.ts
Normal file
182
src/server/routes/chatterbox_tts.ts
Normal file
@@ -0,0 +1,182 @@
|
||||
import Elysia, { t } from "elysia";
|
||||
import { tts_chatterbox } from "../lib/tts_chatterbox";
|
||||
|
||||
const HOST = "https://office4-chatterbox.wibudev.com";
|
||||
|
||||
const ChatterboxTTS = new Elysia({
|
||||
prefix: '/chatterbox-tts',
|
||||
detail: {
|
||||
tags: ['chatterbox-tts']
|
||||
},
|
||||
}).get('/list-prompt', async () => {
|
||||
const res = await fetch(`${HOST}/list-prompt`);
|
||||
const data = await res.json();
|
||||
return { data };
|
||||
}, {
|
||||
detail: {
|
||||
summary: 'List voice prompts',
|
||||
description: 'List voice prompts'
|
||||
}
|
||||
}).post(
|
||||
'/register-prompt-file',
|
||||
async (c) => {
|
||||
const file = c.body.file;
|
||||
const filename = file.name;
|
||||
|
||||
const buf = await file.arrayBuffer();
|
||||
const blob = new Blob([buf], { type: file.type });
|
||||
|
||||
const form = new FormData();
|
||||
form.append("prompt", blob, filename);
|
||||
|
||||
const res = await fetch(`${HOST}/register-prompt-file`, {
|
||||
method: "POST",
|
||||
body: form
|
||||
});
|
||||
|
||||
const data = await res.json();
|
||||
|
||||
return { data };
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
file: t.File()
|
||||
}),
|
||||
detail: {
|
||||
summary: 'Register voice prompt from file',
|
||||
tags: ['chatterbox-tts']
|
||||
}
|
||||
}
|
||||
).post(
|
||||
'/register-prompt-base64',
|
||||
async (c) => {
|
||||
const res = await fetch(`${HOST}/register-prompt-base64`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify(c.body)
|
||||
});
|
||||
return res.json();
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
prompt_name: t.String(),
|
||||
base64_audio: t.String()
|
||||
}),
|
||||
detail: {
|
||||
summary: 'Register voice prompt via base64'
|
||||
}
|
||||
}
|
||||
).post(
|
||||
'/delete-prompt',
|
||||
async (c) => {
|
||||
const res = await fetch(`${HOST}/delete-prompt`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify(c.body)
|
||||
});
|
||||
return res.json();
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
prompt_name: t.String()
|
||||
}),
|
||||
detail: {
|
||||
summary: 'Delete voice prompt',
|
||||
description: 'Delete voice prompt',
|
||||
|
||||
}
|
||||
}
|
||||
).post(
|
||||
'/rename-prompt',
|
||||
async (c) => {
|
||||
const res = await fetch(`${HOST}/rename-prompt`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify(c.body)
|
||||
});
|
||||
return res.json();
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
old_name: t.String(),
|
||||
new_name: t.String()
|
||||
}),
|
||||
detail: {
|
||||
summary: 'Rename voice prompt',
|
||||
description: 'Rename voice prompt'
|
||||
}
|
||||
}
|
||||
).post(
|
||||
'/tts-async',
|
||||
async (c) => {
|
||||
const { title, text, prompt } = c.body
|
||||
const data = await tts_chatterbox(text, prompt, title)
|
||||
|
||||
return { title, data };
|
||||
},
|
||||
{
|
||||
body: t.Object({
|
||||
title: t.String(),
|
||||
text: t.String(),
|
||||
prompt: t.String()
|
||||
}),
|
||||
detail: {
|
||||
summary: 'Enqueue TTS job',
|
||||
description: 'Enqueue TTS job'
|
||||
}
|
||||
}
|
||||
).get('/result/:job_id', async (c) => {
|
||||
const res = await fetch(`${HOST}/result/${c.params.job_id}`);
|
||||
return res.json();
|
||||
}, {
|
||||
detail: {
|
||||
summary: 'Get result by job ID',
|
||||
description: 'Get result by job ID'
|
||||
}
|
||||
}).get('/list-file', async () => {
|
||||
const res = await fetch(`${HOST}/list-file`);
|
||||
const data = await res.json();
|
||||
return { data };
|
||||
}, {
|
||||
detail: {
|
||||
summary: 'List output files',
|
||||
description: 'List output files'
|
||||
}
|
||||
}).get('/file/:filename', async (c) => {
|
||||
const res = await fetch(`${HOST}/file/${c.params.filename}`);
|
||||
const blob = await res.blob();
|
||||
return new Response(blob, {
|
||||
headers: {
|
||||
"Content-Type": "audio/mpeg",
|
||||
"Content-Disposition": `attachment; filename="${c.params.filename}"`
|
||||
}
|
||||
});
|
||||
}, {
|
||||
detail: {
|
||||
summary: 'Download file',
|
||||
description: 'Download file'
|
||||
}
|
||||
}).delete('/rm/:filename', async (c) => {
|
||||
const res = await fetch(`${HOST}/rm/${c.params.filename}`, {
|
||||
method: "DELETE"
|
||||
});
|
||||
return res.json();
|
||||
}, {
|
||||
detail: {
|
||||
summary: 'Delete output file',
|
||||
description: 'Delete output file'
|
||||
}
|
||||
}).post('/cleanup', async () => {
|
||||
const res = await fetch(`${HOST}/cleanup`, {
|
||||
method: "POST"
|
||||
});
|
||||
return res.json();
|
||||
}, {
|
||||
detail: {
|
||||
summary: 'Cleanup output folder + jobstore',
|
||||
description: 'Cleanup output folder + jobstore'
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
export default ChatterboxTTS;
|
||||
103
src/server/routes/tts_tiktok.ts
Normal file
103
src/server/routes/tts_tiktok.ts
Normal file
@@ -0,0 +1,103 @@
|
||||
import Elysia, { t } from "elysia";
|
||||
import { ElysiaWS } from "elysia/ws";
|
||||
import { tts_tiktok, ensureOutputDir } from "../lib/tts_tiktok";
|
||||
import fs from "fs";
|
||||
import path from "path";
|
||||
import _ from "lodash";
|
||||
|
||||
const { OUTPUT_DIR_FINAL } = await ensureOutputDir();
|
||||
const wsClients = new Set<ElysiaWS>();
|
||||
|
||||
const TTSTiktok = new Elysia({
|
||||
prefix: '/tts-tiktok',
|
||||
detail: { description: 'TTS TikTok API', summary: 'TTS TikTok API', tags: ['tts-tiktok'] },
|
||||
}).post('/generate', async ({ body }) => {
|
||||
const { file_name, text, sessionId } = body
|
||||
const nameFile = _.snakeCase(file_name)
|
||||
const audio = await tts_tiktok({ text, sessionId, fileName: nameFile })
|
||||
return {
|
||||
success: true,
|
||||
data: audio
|
||||
}
|
||||
}, {
|
||||
body: t.Object({
|
||||
file_name: t.String(),
|
||||
text: t.String(),
|
||||
sessionId: t.String()
|
||||
}),
|
||||
detail: {
|
||||
description: 'Generate TTS TikTok',
|
||||
summary: 'Generate TTS TikTok'
|
||||
}
|
||||
})
|
||||
.get("/list-audio", () => {
|
||||
const files = fs.readdirSync(OUTPUT_DIR_FINAL)
|
||||
return {
|
||||
data: files
|
||||
}
|
||||
}, {
|
||||
detail: {
|
||||
description: 'List all audio files',
|
||||
summary: 'List all audio files'
|
||||
}
|
||||
})
|
||||
.get("/download/:filename", ({ params }) => {
|
||||
console.log(params.filename)
|
||||
const filePath = path.join(OUTPUT_DIR_FINAL, params.filename);
|
||||
|
||||
if (!fs.existsSync(filePath)) {
|
||||
return new Response("Not found", { status: 404 });
|
||||
}
|
||||
|
||||
const file = Bun.file(filePath);
|
||||
return new Response(file, {
|
||||
headers: {
|
||||
"Content-Type": "audio/mpeg",
|
||||
"Cache-Control": "no-cache",
|
||||
},
|
||||
});
|
||||
})
|
||||
.delete("/remove/:filename", ({ params }) => {
|
||||
const { filename } = params
|
||||
fs.unlinkSync(path.join(OUTPUT_DIR_FINAL, filename))
|
||||
return {
|
||||
success: true,
|
||||
data: filename
|
||||
}
|
||||
}, {
|
||||
params: t.Object({
|
||||
filename: t.String()
|
||||
}),
|
||||
detail: {
|
||||
description: 'Delete audio file',
|
||||
summary: 'Delete audio file'
|
||||
}
|
||||
})
|
||||
.delete("/clear", () => {
|
||||
fs.promises.rmdir(OUTPUT_DIR_FINAL, { recursive: true }).catch(() => { })
|
||||
return {
|
||||
success: true,
|
||||
data: "OK"
|
||||
}
|
||||
}, {
|
||||
detail: {
|
||||
description: 'Delete all audio files',
|
||||
summary: 'Delete all audio files'
|
||||
}
|
||||
})
|
||||
.ws("/ws", {
|
||||
open: (ws) => {
|
||||
console.log("Client connected");
|
||||
wsClients.add(ws);
|
||||
|
||||
},
|
||||
close: (ws) => {
|
||||
console.log("Client disconnected");
|
||||
wsClients.delete(ws);
|
||||
},
|
||||
message: (ws, msg) => {
|
||||
ws.send("Echo: " + msg);
|
||||
}
|
||||
})
|
||||
|
||||
export default TTSTiktok
|
||||
BIN
temp-tts/04282526-fe6a-4e0e-a9fd-9c94dcf70662_EBWzB_0001.wav
Normal file
BIN
temp-tts/04282526-fe6a-4e0e-a9fd-9c94dcf70662_EBWzB_0001.wav
Normal file
Binary file not shown.
BIN
temp-tts/2e196685-b957-456c-9199-694e25e7b75f_EBWzB_0002.wav
Normal file
BIN
temp-tts/2e196685-b957-456c-9199-694e25e7b75f_EBWzB_0002.wav
Normal file
Binary file not shown.
BIN
temp-tts/de80f011-5b75-4e09-adac-11e0186831bf_EBWzB_0004.wav
Normal file
BIN
temp-tts/de80f011-5b75-4e09-adac-11e0186831bf_EBWzB_0004.wav
Normal file
Binary file not shown.
BIN
temp-tts/f16b7522-af2d-4ac7-b269-154820eaa6b8_EBWzB_0003.wav
Normal file
BIN
temp-tts/f16b7522-af2d-4ac7-b269-154820eaa6b8_EBWzB_0003.wav
Normal file
Binary file not shown.
1
temp-tts/jobs.json
Normal file
1
temp-tts/jobs.json
Normal file
@@ -0,0 +1 @@
|
||||
["04282526-fe6a-4e0e-a9fd-9c94dcf70662","2e196685-b957-456c-9199-694e25e7b75f","f16b7522-af2d-4ac7-b269-154820eaa6b8","de80f011-5b75-4e09-adac-11e0186831bf"]
|
||||
36
tsconfig.json
Normal file
36
tsconfig.json
Normal file
@@ -0,0 +1,36 @@
|
||||
{
|
||||
"compilerOptions": {
|
||||
// Environment setup & latest features
|
||||
"lib": ["ESNext", "DOM"],
|
||||
"target": "ESNext",
|
||||
"module": "Preserve",
|
||||
"moduleDetection": "force",
|
||||
"jsx": "react-jsx",
|
||||
"allowJs": true,
|
||||
|
||||
// Bundler mode
|
||||
"moduleResolution": "bundler",
|
||||
"allowImportingTsExtensions": true,
|
||||
"verbatimModuleSyntax": true,
|
||||
"noEmit": true,
|
||||
|
||||
// Best practices
|
||||
"strict": true,
|
||||
"skipLibCheck": true,
|
||||
"noFallthroughCasesInSwitch": true,
|
||||
"noUncheckedIndexedAccess": true,
|
||||
"noImplicitOverride": true,
|
||||
|
||||
"baseUrl": ".",
|
||||
"paths": {
|
||||
"@/*": ["./src/*"]
|
||||
},
|
||||
|
||||
// Some stricter flags (disabled by default)
|
||||
"noUnusedLocals": false,
|
||||
"noUnusedParameters": false,
|
||||
"noPropertyAccessFromIndexSignature": false
|
||||
},
|
||||
|
||||
"exclude": ["dist", "node_modules"]
|
||||
}
|
||||
BIN
tts_tiktok_output/final/07dfc3c3-aec3-403d-a314-af3f356c95e5.mp3
Normal file
BIN
tts_tiktok_output/final/07dfc3c3-aec3-403d-a314-af3f356c95e5.mp3
Normal file
Binary file not shown.
Binary file not shown.
8
types/env.d.ts
vendored
Normal file
8
types/env.d.ts
vendored
Normal file
@@ -0,0 +1,8 @@
|
||||
declare namespace NodeJS {
|
||||
interface ProcessEnv {
|
||||
DATABASE_URL?: string;
|
||||
JWT_SECRET?: string;
|
||||
BUN_PUBLIC_BASE_URL?: string;
|
||||
PORT?: string;
|
||||
}
|
||||
}
|
||||
7
x.sh
Normal file
7
x.sh
Normal file
@@ -0,0 +1,7 @@
|
||||
# curl -X POST "http://85.31.224.193:6007/api/predict" \
|
||||
# -H "Accept: application/json" \
|
||||
# -F "data=@src.wav" \
|
||||
# -F "data=@ref.wav" \
|
||||
# -F "data=0.7"
|
||||
|
||||
curl -X POST https://office4-chatterbox.wibudev.com/cleanup
|
||||
16
xc.sh
Normal file
16
xc.sh
Normal file
@@ -0,0 +1,16 @@
|
||||
HOST="http://85.31.224.193:4000"
|
||||
curl -X POST $HOST/register-prompt-file \
|
||||
-F "prompt=@dayu.wav"
|
||||
|
||||
# TEXT=$(cat << 'EOF'
|
||||
# Jika kamu menggunakan venv (virtual environment), maka PM2 tetap bisa menjalankan Uvicorn dengan sangat aman dan stabil.
|
||||
# EOF
|
||||
# )
|
||||
|
||||
# # curl -X POST $HOST/tts-async \
|
||||
# # -F "text=$TEXT" \
|
||||
# # -F "prompt=dayu" \
|
||||
# # -o "hasil.wav"
|
||||
|
||||
|
||||
# curl $HOST
|
||||
245
xclone.py
Normal file
245
xclone.py
Normal file
@@ -0,0 +1,245 @@
|
||||
import io
|
||||
import os
|
||||
import sys
|
||||
import base64
|
||||
import argparse
|
||||
|
||||
import torch
|
||||
import torchaudio as ta
|
||||
import torchaudio.functional as F
|
||||
from chatterbox.tts import ChatterboxTTS
|
||||
from huggingface_hub import hf_hub_download
|
||||
from safetensors.torch import load_file
|
||||
|
||||
# =========================
|
||||
# KONFIGURASI MODEL - DISESUAIKAN UNTUK NATURALNESS
|
||||
# =========================
|
||||
MODEL_REPO = "grandhigh/Chatterbox-TTS-Indonesian"
|
||||
CHECKPOINT = "t3_cfg.safetensors"
|
||||
DEVICE = "cpu"
|
||||
|
||||
# Parameter dioptimasi untuk suara lebih natural dan mirip source
|
||||
TEMPERATURE = 0.65
|
||||
TOP_P = 0.88
|
||||
REPETITION_PENALTY = 1.25
|
||||
AUDIO_GAIN_DB = 0.8
|
||||
|
||||
PROMPT_FOLDER = "prompt_source"
|
||||
os.makedirs(PROMPT_FOLDER, exist_ok=True)
|
||||
|
||||
# =========================
|
||||
# Enhance audio dengan fokus pada naturalness
|
||||
# =========================
|
||||
def enhance_audio(wav, sr):
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / (peak + 1e-8) * 0.95
|
||||
wav = F.highpass_biquad(wav, sr, cutoff_freq=60)
|
||||
wav = F.lowpass_biquad(wav, sr, cutoff_freq=10000)
|
||||
wav = F.bass_biquad(wav, sr, gain=1.5, central_freq=200, Q=0.7)
|
||||
wav = F.treble_biquad(wav, sr, gain=-1.2, central_freq=6000, Q=0.7)
|
||||
|
||||
threshold = 0.6
|
||||
ratio = 2.5
|
||||
knee = 0.1
|
||||
abs_wav = wav.abs()
|
||||
mask_hard = abs_wav > (threshold + knee)
|
||||
mask_knee = (abs_wav > (threshold - knee)) & (abs_wav <= (threshold + knee))
|
||||
compressed = torch.where(
|
||||
mask_hard,
|
||||
torch.sign(wav) * (threshold + (abs_wav - threshold) / ratio),
|
||||
wav
|
||||
)
|
||||
knee_factor = ((abs_wav - (threshold - knee)) / (2 * knee)) ** 2
|
||||
knee_compressed = torch.sign(wav) * (
|
||||
threshold - knee + knee_factor * (2 * knee) + (abs_wav - threshold) / ratio * knee_factor
|
||||
)
|
||||
compressed = torch.where(mask_knee, knee_compressed, compressed)
|
||||
wav = compressed
|
||||
|
||||
saturation_amount = 0.08
|
||||
wav = torch.tanh(wav * (1 + saturation_amount)) / (1 + saturation_amount)
|
||||
|
||||
pink_noise = generate_pink_noise(wav.shape, wav.device) * 0.0003
|
||||
wav = wav + pink_noise
|
||||
|
||||
wav = torch.tanh(wav * 1.1) * 0.92
|
||||
wav = F.gain(wav, gain_db=AUDIO_GAIN_DB)
|
||||
|
||||
peak = wav.abs().max().item()
|
||||
if peak > 0:
|
||||
wav = wav / peak * 0.88
|
||||
return wav
|
||||
|
||||
def generate_pink_noise(shape, device):
|
||||
white = torch.randn(shape, device=device)
|
||||
if len(shape) > 1:
|
||||
pink = torch.zeros_like(white)
|
||||
for i in range(shape[0]):
|
||||
b = torch.zeros(7)
|
||||
for j in range(shape[1]):
|
||||
white_val = white[i, j].item()
|
||||
b[0] = 0.99886 * b[0] + white_val * 0.0555179
|
||||
b[1] = 0.99332 * b[1] + white_val * 0.0750759
|
||||
b[2] = 0.96900 * b[2] + white_val * 0.1538520
|
||||
b[3] = 0.86650 * b[3] + white_val * 0.3104856
|
||||
b[4] = 0.55000 * b[4] + white_val * 0.5329522
|
||||
b[5] = -0.7616 * b[5] - white_val * 0.0168980
|
||||
pink[i, j] = (b[0] + b[1] + b[2] + b[3] + b[4] + b[5] + b[6] + white_val * 0.5362) * 0.11
|
||||
b[6] = white_val * 0.115926
|
||||
else:
|
||||
pink = torch.zeros_like(white)
|
||||
b = torch.zeros(7)
|
||||
for j in range(shape[0]):
|
||||
white_val = white[j].item()
|
||||
b[0] = 0.99886 * b[0] + white_val * 0.0555179
|
||||
b[1] = 0.99332 * b[1] + white_val * 0.0750759
|
||||
b[2] = 0.96900 * b[2] + white_val * 0.1538520
|
||||
b[3] = 0.86650 * b[3] + white_val * 0.3104856
|
||||
b[4] = 0.55000 * b[4] + white_val * 0.5329522
|
||||
b[5] = -0.7616 * b[5] - white_val * 0.0168980
|
||||
pink[j] = (b[0] + b[1] + b[2] + b[3] + b[4] + b[5] + b[6] + white_val * 0.5362) * 0.11
|
||||
b[6] = white_val * 0.115926
|
||||
return pink * 0.1
|
||||
|
||||
# Load model sekali
|
||||
print("Loading model...")
|
||||
|
||||
model = ChatterboxTTS.from_pretrained(device=DEVICE)
|
||||
ckpt = hf_hub_download(repo_id=MODEL_REPO, filename=CHECKPOINT)
|
||||
state = load_file(ckpt, device=DEVICE)
|
||||
|
||||
model.t3.to(DEVICE).load_state_dict(state)
|
||||
model.t3.eval()
|
||||
|
||||
for module in model.t3.modules():
|
||||
if hasattr(module, "training"):
|
||||
module.training = False
|
||||
|
||||
for module in model.t3.modules():
|
||||
if isinstance(module, torch.nn.Dropout):
|
||||
module.p = 0
|
||||
|
||||
print("Model ready with enhanced settings.")
|
||||
|
||||
# ======= Fungsi CLI =======
|
||||
def register_prompt_base64(prompt_name, base64_audio):
|
||||
filename = f"{prompt_name}.wav"
|
||||
path = os.path.join(PROMPT_FOLDER, filename)
|
||||
raw = base64.b64decode(base64_audio)
|
||||
with open(path, "wb") as f:
|
||||
f.write(raw)
|
||||
print(f"Registered base64 prompt as {filename}")
|
||||
|
||||
def register_prompt_file(src_path, prompt_name=None):
|
||||
if prompt_name is None:
|
||||
prompt_name = os.path.splitext(os.path.basename(src_path))[0]
|
||||
save_path = os.path.join(PROMPT_FOLDER, f"{prompt_name}.wav")
|
||||
with open(src_path, "rb") as src_file:
|
||||
data = src_file.read()
|
||||
with open(save_path, "wb") as dst_file:
|
||||
dst_file.write(data)
|
||||
print(f"Registered prompt file as {prompt_name}.wav")
|
||||
|
||||
def list_prompt():
|
||||
files = os.listdir(PROMPT_FOLDER)
|
||||
wav_files = [f for f in files if f.lower().endswith(".wav")]
|
||||
print(f"Total prompts: {len(wav_files)}")
|
||||
for f in wav_files:
|
||||
print(f"- {f}")
|
||||
|
||||
def delete_prompt(prompt_name):
|
||||
file_path = os.path.join(PROMPT_FOLDER, f"{prompt_name}.wav")
|
||||
if not os.path.exists(file_path):
|
||||
print(f"Prompt '{prompt_name}' not found.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
os.remove(file_path)
|
||||
print(f"Deleted prompt {prompt_name}.wav")
|
||||
|
||||
def rename_prompt(old_name, new_name):
|
||||
old_path = os.path.join(PROMPT_FOLDER, f"{old_name}.wav")
|
||||
new_path = os.path.join(PROMPT_FOLDER, f"{new_name}.wav")
|
||||
if not os.path.exists(old_path):
|
||||
print(f"Old prompt '{old_name}' not found.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
if os.path.exists(new_path):
|
||||
print(f"New prompt name '{new_name}' already exists.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
os.rename(old_path, new_path)
|
||||
print(f"Renamed prompt '{old_name}' to '{new_name}'")
|
||||
|
||||
def tts(text, prompt, output_path="output.wav", temperature=TEMPERATURE, top_p=TOP_P, repetition_penalty=REPETITION_PENALTY):
|
||||
prompt_path = os.path.join(PROMPT_FOLDER, f"{prompt}.wav")
|
||||
if not os.path.exists(prompt_path):
|
||||
print(f"Prompt '{prompt}' not found.", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
try:
|
||||
wav = model.generate(
|
||||
text,
|
||||
audio_prompt_path=prompt_path,
|
||||
temperature=temperature,
|
||||
top_p=top_p,
|
||||
repetition_penalty=repetition_penalty,
|
||||
)
|
||||
except Exception as e:
|
||||
print(f"Failed to generate audio: {e}", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
wav = enhance_audio(wav.cpu(), model.sr)
|
||||
ta.save(output_path, wav, model.sr, format="wav")
|
||||
print(f"TTS output saved to {output_path}")
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Chatterbox TTS CLI")
|
||||
subparsers = parser.add_subparsers(dest="command")
|
||||
|
||||
# register base64
|
||||
p_register_base64 = subparsers.add_parser("register-base64", help="Register prompt from base64 string")
|
||||
p_register_base64.add_argument("prompt_name")
|
||||
p_register_base64.add_argument("base64_audio")
|
||||
|
||||
# register file
|
||||
p_register_file = subparsers.add_parser("register-file", help="Register prompt from wav file")
|
||||
p_register_file.add_argument("src_path")
|
||||
p_register_file.add_argument("--name", default=None)
|
||||
|
||||
# list prompt
|
||||
p_list = subparsers.add_parser("list", help="List all prompt wav files")
|
||||
|
||||
# delete prompt
|
||||
p_delete = subparsers.add_parser("delete", help="Delete prompt wav file")
|
||||
p_delete.add_argument("prompt_name")
|
||||
|
||||
# rename prompt
|
||||
p_rename = subparsers.add_parser("rename", help="Rename prompt wav file")
|
||||
p_rename.add_argument("old_name")
|
||||
p_rename.add_argument("new_name")
|
||||
|
||||
# tts generate
|
||||
p_tts = subparsers.add_parser("tts", help="Generate TTS wav file")
|
||||
p_tts.add_argument("text")
|
||||
p_tts.add_argument("prompt")
|
||||
p_tts.add_argument("--output", default="output.wav")
|
||||
p_tts.add_argument("--temperature", type=float, default=TEMPERATURE)
|
||||
p_tts.add_argument("--top_p", type=float, default=TOP_P)
|
||||
p_tts.add_argument("--repetition_penalty", type=float, default=REPETITION_PENALTY)
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.command == "register-base64":
|
||||
register_prompt_base64(args.prompt_name, args.base64_audio)
|
||||
elif args.command == "register-file":
|
||||
register_prompt_file(args.src_path, args.name)
|
||||
elif args.command == "list":
|
||||
list_prompt()
|
||||
elif args.command == "delete":
|
||||
delete_prompt(args.prompt_name)
|
||||
elif args.command == "rename":
|
||||
rename_prompt(args.old_name, args.new_name)
|
||||
elif args.command == "tts":
|
||||
tts(args.text, args.prompt, args.output, args.temperature, args.top_p, args.repetition_penalty)
|
||||
else:
|
||||
parser.print_help()
|
||||
sys.exit(1)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
267
xclonev2.py
Normal file
267
xclonev2.py
Normal file
@@ -0,0 +1,267 @@
|
||||
import io
|
||||
import os
|
||||
import base64
|
||||
from fastapi import FastAPI, UploadFile, File, Form
|
||||
from fastapi.responses import JSONResponse, StreamingResponse
|
||||
from pydantic import BaseModel
|
||||
|
||||
import torch
|
||||
import torchaudio as ta
|
||||
import torchaudio.functional as F
|
||||
from pydub import AudioSegment
|
||||
|
||||
from chatterbox.tts import ChatterboxTTS
|
||||
from huggingface_hub import hf_hub_download
|
||||
from safetensors.torch import load_file
|
||||
|
||||
import asyncio
|
||||
import uuid
|
||||
|
||||
# =========================
|
||||
# CONFIG
|
||||
# =========================
|
||||
MODEL_REPO = "grandhigh/Chatterbox-TTS-Indonesian"
|
||||
CHECKPOINT = "t3_cfg.safetensors"
|
||||
DEVICE = "cpu"
|
||||
|
||||
TEMPERATURE = 0.85
|
||||
TOP_P = 0.92
|
||||
REPETITION_PENALTY = 1.15
|
||||
AUDIO_GAIN_DB = 1.5
|
||||
|
||||
PROMPT_FOLDER = "prompt_source"
|
||||
TEMP_FOLDER = "temp_parts"
|
||||
os.makedirs(PROMPT_FOLDER, exist_ok=True)
|
||||
os.makedirs(TEMP_FOLDER, exist_ok=True)
|
||||
|
||||
# Executor parallel max 5
|
||||
semaphore = asyncio.Semaphore(5)
|
||||
|
||||
app = FastAPI(title="Chatterbox TTS Server")
|
||||
|
||||
|
||||
# =========================
|
||||
# TEXT SPLITTER
|
||||
# =========================
|
||||
def split_text(text: str, max_len=100):
|
||||
parts = []
|
||||
text = text.strip()
|
||||
|
||||
while len(text) > max_len:
|
||||
cut_index = text.rfind(" ", 0, max_len)
|
||||
if cut_index == -1:
|
||||
cut_index = max_len
|
||||
parts.append(text[:cut_index].strip())
|
||||
text = text[cut_index:].strip()
|
||||
|
||||
if text:
|
||||
parts.append(text)
|
||||
|
||||
return parts
|
||||
|
||||
|
||||
# =========================
|
||||
# Enhance audio
|
||||
# =========================
|
||||
def enhance_audio(wav, sr):
|
||||
wav = wav / (wav.abs().max() + 1e-8)
|
||||
noise_level = 0.0008
|
||||
wav = wav + torch.randn_like(wav) * noise_level
|
||||
|
||||
threshold = 0.7
|
||||
ratio = 3.0
|
||||
mask = wav.abs() > threshold
|
||||
wav = torch.where(
|
||||
mask, torch.sign(wav) * (threshold + (wav.abs() - threshold) / ratio), wav
|
||||
)
|
||||
|
||||
wav = F.highpass_biquad(wav, sr, cutoff_freq=80)
|
||||
wav = F.lowpass_biquad(wav, sr, cutoff_freq=8000)
|
||||
wav = F.gain(wav, gain_db=AUDIO_GAIN_DB)
|
||||
|
||||
peak = wav.abs().max().item()
|
||||
if peak > 0:
|
||||
wav = wav / peak * 0.93
|
||||
|
||||
return wav
|
||||
|
||||
|
||||
# =========================
|
||||
# LOAD MODEL
|
||||
# =========================
|
||||
print("Loading model...")
|
||||
|
||||
model = ChatterboxTTS.from_pretrained(device=DEVICE)
|
||||
ckpt = hf_hub_download(repo_id=MODEL_REPO, filename=CHECKPOINT)
|
||||
state = load_file(ckpt, device=DEVICE)
|
||||
|
||||
model.t3.to(DEVICE).load_state_dict(state)
|
||||
model.t3.eval()
|
||||
for m in model.t3.modules():
|
||||
if hasattr(m, "training"):
|
||||
m.training = False
|
||||
|
||||
print("Model ready.")
|
||||
|
||||
|
||||
# =========================
|
||||
# Helper generate per-part
|
||||
# =========================
|
||||
async def generate_part(text, prompt_path, part_id):
|
||||
async with semaphore:
|
||||
loop = asyncio.get_running_loop()
|
||||
wav = await loop.run_in_executor(
|
||||
None,
|
||||
lambda: model.generate(
|
||||
text,
|
||||
audio_prompt_path=prompt_path,
|
||||
temperature=TEMPERATURE,
|
||||
top_p=TOP_P,
|
||||
repetition_penalty=REPETITION_PENALTY,
|
||||
),
|
||||
)
|
||||
|
||||
wav = enhance_audio(wav.cpu(), model.sr)
|
||||
|
||||
temp_path = os.path.join(TEMP_FOLDER, f"{part_id}.wav")
|
||||
ta.save(temp_path, wav, model.sr)
|
||||
|
||||
return temp_path
|
||||
|
||||
|
||||
# =========================
|
||||
# Merge WAV
|
||||
# =========================
|
||||
def merge_wav(files):
|
||||
combined = AudioSegment.empty()
|
||||
for f in files:
|
||||
combined += AudioSegment.from_wav(f)
|
||||
return combined
|
||||
|
||||
|
||||
# =====================================================
|
||||
# 2. TTS MULTI-PART + QUEUE
|
||||
# =====================================================
|
||||
@app.post("/tts")
|
||||
async def tts(text: str = Form(...), prompt: str = Form(...)):
|
||||
prompt_path = os.path.join(PROMPT_FOLDER, f"{prompt}.wav")
|
||||
if not os.path.exists(prompt_path):
|
||||
return JSONResponse(status_code=404, content={"error": "Prompt tidak ditemukan"})
|
||||
|
||||
# split text
|
||||
parts = split_text(text)
|
||||
|
||||
# generate unique prefix for temp file parts
|
||||
uid = str(uuid.uuid4())
|
||||
|
||||
tasks = []
|
||||
part_files = []
|
||||
|
||||
# create async tasks
|
||||
for i, segment in enumerate(parts):
|
||||
part_id = f"{uid}_{i}"
|
||||
tasks.append(generate_part(segment, prompt_path, part_id))
|
||||
|
||||
# run queue (max 5 at once)
|
||||
part_files = await asyncio.gather(*tasks)
|
||||
|
||||
# merge result
|
||||
final_audio = merge_wav(part_files)
|
||||
|
||||
# convert to buffer
|
||||
buf = io.BytesIO()
|
||||
final_audio.export(buf, format="wav")
|
||||
buf.seek(0)
|
||||
|
||||
# cleanup
|
||||
for f in part_files:
|
||||
if os.path.exists(f):
|
||||
os.remove(f)
|
||||
|
||||
return StreamingResponse(
|
||||
buf,
|
||||
media_type="audio/wav",
|
||||
headers={"Content-Disposition": "attachment; filename=final_output.wav"},
|
||||
)
|
||||
|
||||
|
||||
# =====================================================
|
||||
# Prompt Management (tidak diubah)
|
||||
# =====================================================
|
||||
|
||||
class RegisterPromptBase64(BaseModel):
|
||||
prompt_name: str
|
||||
base64_audio: str
|
||||
|
||||
@app.post("/register-prompt-base64")
|
||||
async def register_prompt_base64(data: RegisterPromptBase64):
|
||||
filename = f"{data.prompt_name}.wav"
|
||||
path = os.path.join(PROMPT_FOLDER, filename)
|
||||
try:
|
||||
raw = base64.b64decode(data.base64_audio)
|
||||
with open(path, "wb") as f:
|
||||
f.write(raw)
|
||||
return {"status": "ok", "file": filename}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=400, content={"error": str(e)})
|
||||
|
||||
@app.post("/register-prompt-file")
|
||||
async def register_prompt_file(prompt: UploadFile = File(...), name: str = Form(None)):
|
||||
prompt_name = name if name else os.path.splitext(prompt.filename)[0]
|
||||
save_path = os.path.join(PROMPT_FOLDER, f"{prompt_name}.wav")
|
||||
try:
|
||||
with open(save_path, "wb") as f:
|
||||
f.write(await prompt.read())
|
||||
return {"status": "ok", "file": f"{prompt_name}.wav"}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
@app.get("/list-prompt")
|
||||
async def list_prompt():
|
||||
try:
|
||||
files = os.listdir(PROMPT_FOLDER)
|
||||
wav_files = [f for f in files if f.lower().endswith(".wav")]
|
||||
return {
|
||||
"count": len(wav_files),
|
||||
"prompts": wav_files,
|
||||
"prompt_names": [os.path.splitext(f)[0] for f in wav_files],
|
||||
}
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": str(e)})
|
||||
|
||||
|
||||
class DeletePrompt(BaseModel):
|
||||
prompt_name: str
|
||||
|
||||
@app.post("/delete-prompt")
|
||||
async def delete_prompt(data: DeletePrompt):
|
||||
file_path = os.path.join(PROMPT_FOLDER, f"{data.prompt_name}.wav")
|
||||
if not os.path.exists(file_path):
|
||||
return JSONResponse(status_code=404, content={"error": "Prompt tidak ditemukan"})
|
||||
os.remove(file_path)
|
||||
return {"status": "ok"}
|
||||
|
||||
class RenamePrompt(BaseModel):
|
||||
old_name: str
|
||||
new_name: str
|
||||
|
||||
@app.post("/rename-prompt")
|
||||
async def rename_prompt(data: RenamePrompt):
|
||||
old_path = os.path.join(PROMPT_FOLDER, f"{data.old_name}.wav")
|
||||
new_path = os.path.join(PROMPT_FOLDER, f"{data.new_name}.wav")
|
||||
if not os.path.exists(old_path):
|
||||
return JSONResponse(status_code=404, content={"error": "Prompt lama tidak ditemukan"})
|
||||
if os.path.exists(new_path):
|
||||
return JSONResponse(status_code=400, content={"error": "Nama baru sudah digunakan"})
|
||||
os.rename(old_path, new_path)
|
||||
return {"status": "ok"}
|
||||
|
||||
|
||||
@app.get("/")
|
||||
async def root():
|
||||
return {"message": "Chatterbox TTS API ready with queue + multi-part!"}
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run("claude_clonev4:app", host="0.0.0.0", port=6007, reload=False)
|
||||
427
xclonev3.py
Normal file
427
xclonev3.py
Normal file
@@ -0,0 +1,427 @@
|
||||
import io
|
||||
import os
|
||||
import base64
|
||||
from fastapi import FastAPI, UploadFile, File, Form
|
||||
from fastapi.responses import JSONResponse, StreamingResponse
|
||||
from pydantic import BaseModel
|
||||
|
||||
import torch
|
||||
import torchaudio as ta
|
||||
import torchaudio.functional as F
|
||||
from chatterbox.tts import ChatterboxTTS
|
||||
from huggingface_hub import hf_hub_download
|
||||
from safetensors.torch import load_file
|
||||
|
||||
# =========================
|
||||
# KONFIGURASI MODEL - DISESUAIKAN UNTUK NATURALNESS
|
||||
# =========================
|
||||
MODEL_REPO = "grandhigh/Chatterbox-TTS-Indonesian"
|
||||
CHECKPOINT = "t3_cfg.safetensors"
|
||||
DEVICE = "cpu"
|
||||
|
||||
# Parameter dioptimasi untuk suara lebih natural dan mirip source
|
||||
TEMPERATURE = 0.65 # Lebih rendah untuk lebih konsisten dengan prompt
|
||||
TOP_P = 0.88 # Lebih fokus pada prediksi berkualitas tinggi
|
||||
REPETITION_PENALTY = 1.25 # Lebih tinggi untuk menghindari pola repetitif robot
|
||||
AUDIO_GAIN_DB = 0.8 # Gain lebih rendah untuk suara natural
|
||||
|
||||
# Parameter tambahan untuk kontrol kualitas
|
||||
TOP_K = 50 # Batasi kandidat token
|
||||
MIN_P = 0.05 # Filter probabilitas rendah
|
||||
CFG_SCALE = 1.2 # Classifier-free guidance untuk adherence ke prompt
|
||||
|
||||
PROMPT_FOLDER = "prompt_source"
|
||||
os.makedirs(PROMPT_FOLDER, exist_ok=True)
|
||||
|
||||
app = FastAPI(title="Chatterbox TTS Server - Enhanced")
|
||||
|
||||
|
||||
# =========================
|
||||
# Enhance audio dengan fokus pada naturalness
|
||||
# =========================
|
||||
def enhance_audio(wav, sr):
|
||||
"""
|
||||
Enhanced audio processing untuk suara lebih natural dan mirip source
|
||||
"""
|
||||
# 1. Normalisasi awal yang lembut
|
||||
peak = wav.abs().max()
|
||||
if peak > 0:
|
||||
wav = wav / (peak + 1e-8) * 0.95
|
||||
|
||||
# 2. De-essing ringan (kurangi sibilance yang khas robot)
|
||||
wav = F.highpass_biquad(wav, sr, cutoff_freq=60)
|
||||
wav = F.lowpass_biquad(wav, sr, cutoff_freq=10000)
|
||||
|
||||
# 3. Tambahkan sedikit warmth dengan subtle low-shelf boost
|
||||
# Simulasi resonansi natural voice
|
||||
wav = F.bass_biquad(wav, sr, gain=1.5, central_freq=200, Q=0.7)
|
||||
|
||||
# 4. De-harsh treble (kurangi ketajaman digital)
|
||||
wav = F.treble_biquad(wav, sr, gain=-1.2, central_freq=6000, Q=0.7)
|
||||
|
||||
# 5. Soft compression untuk dynamic range natural
|
||||
# Kompresi multi-band untuk maintain naturalness
|
||||
threshold = 0.6
|
||||
ratio = 2.5
|
||||
knee = 0.1
|
||||
|
||||
abs_wav = wav.abs()
|
||||
mask_hard = abs_wav > (threshold + knee)
|
||||
mask_knee = (abs_wav > (threshold - knee)) & (abs_wav <= (threshold + knee))
|
||||
|
||||
# Hard compression
|
||||
compressed = torch.where(
|
||||
mask_hard,
|
||||
torch.sign(wav) * (threshold + (abs_wav - threshold) / ratio),
|
||||
wav
|
||||
)
|
||||
|
||||
# Soft knee
|
||||
knee_factor = ((abs_wav - (threshold - knee)) / (2 * knee)) ** 2
|
||||
knee_compressed = torch.sign(wav) * (
|
||||
threshold - knee + knee_factor * (2 * knee) +
|
||||
(abs_wav - threshold) / ratio * knee_factor
|
||||
)
|
||||
compressed = torch.where(mask_knee, knee_compressed, compressed)
|
||||
|
||||
wav = compressed
|
||||
|
||||
# 6. Subtle saturation untuk warmth (analog-like)
|
||||
saturation_amount = 0.08
|
||||
wav = torch.tanh(wav * (1 + saturation_amount)) / (1 + saturation_amount)
|
||||
|
||||
# 7. Tambahkan very subtle analog-style noise (bukan digital noise)
|
||||
# Ini membantu mask artifacts digital dan menambah warmth
|
||||
pink_noise = generate_pink_noise(wav.shape, wav.device) * 0.0003
|
||||
wav = wav + pink_noise
|
||||
|
||||
# 8. Gentle limiting untuk prevent clipping tanpa harshness
|
||||
wav = torch.tanh(wav * 1.1) * 0.92
|
||||
|
||||
# 9. Final gain adjustment
|
||||
wav = F.gain(wav, gain_db=AUDIO_GAIN_DB)
|
||||
|
||||
# 10. Final normalization dengan headroom
|
||||
peak = wav.abs().max().item()
|
||||
if peak > 0:
|
||||
wav = wav / peak * 0.88 # Lebih banyak headroom untuk suara natural
|
||||
|
||||
return wav
|
||||
|
||||
|
||||
def generate_pink_noise(shape, device):
|
||||
"""
|
||||
Generate pink noise (1/f noise) untuk natural analog warmth
|
||||
"""
|
||||
white = torch.randn(shape, device=device)
|
||||
|
||||
# Simple pink noise approximation menggunakan running sum
|
||||
# Pink noise memiliki karakteristik lebih natural daripada white noise
|
||||
if len(shape) > 1:
|
||||
# Handle stereo/multi-channel
|
||||
pink = torch.zeros_like(white)
|
||||
for i in range(shape[0]):
|
||||
b = torch.zeros(7)
|
||||
for j in range(shape[1]):
|
||||
white_val = white[i, j].item()
|
||||
b[0] = 0.99886 * b[0] + white_val * 0.0555179
|
||||
b[1] = 0.99332 * b[1] + white_val * 0.0750759
|
||||
b[2] = 0.96900 * b[2] + white_val * 0.1538520
|
||||
b[3] = 0.86650 * b[3] + white_val * 0.3104856
|
||||
b[4] = 0.55000 * b[4] + white_val * 0.5329522
|
||||
b[5] = -0.7616 * b[5] - white_val * 0.0168980
|
||||
pink[i, j] = (b[0] + b[1] + b[2] + b[3] + b[4] + b[5] + b[6] + white_val * 0.5362) * 0.11
|
||||
b[6] = white_val * 0.115926
|
||||
else:
|
||||
# Mono
|
||||
pink = torch.zeros_like(white)
|
||||
b = torch.zeros(7)
|
||||
for j in range(shape[0]):
|
||||
white_val = white[j].item()
|
||||
b[0] = 0.99886 * b[0] + white_val * 0.0555179
|
||||
b[1] = 0.99332 * b[1] + white_val * 0.0750759
|
||||
b[2] = 0.96900 * b[2] + white_val * 0.1538520
|
||||
b[3] = 0.86650 * b[3] + white_val * 0.3104856
|
||||
b[4] = 0.55000 * b[4] + white_val * 0.5329522
|
||||
b[5] = -0.7616 * b[5] - white_val * 0.0168980
|
||||
pink[j] = (b[0] + b[1] + b[2] + b[3] + b[4] + b[5] + b[6] + white_val * 0.5362) * 0.11
|
||||
b[6] = white_val * 0.115926
|
||||
|
||||
return pink * 0.1 # Scale down
|
||||
|
||||
|
||||
# =========================
|
||||
# Load model sekali
|
||||
# =========================
|
||||
print("Loading model...")
|
||||
|
||||
model = ChatterboxTTS.from_pretrained(device=DEVICE)
|
||||
ckpt = hf_hub_download(repo_id=MODEL_REPO, filename=CHECKPOINT)
|
||||
state = load_file(ckpt, device=DEVICE)
|
||||
|
||||
model.t3.to(DEVICE).load_state_dict(state)
|
||||
model.t3.eval()
|
||||
|
||||
# Pastikan model dalam mode eval penuh
|
||||
for module in model.t3.modules():
|
||||
if hasattr(module, "training"):
|
||||
module.training = False
|
||||
|
||||
# Disable dropout untuk konsistensi maksimal
|
||||
for module in model.t3.modules():
|
||||
if isinstance(module, torch.nn.Dropout):
|
||||
module.p = 0
|
||||
|
||||
print("Model ready with enhanced settings.")
|
||||
|
||||
|
||||
# =====================================================
|
||||
# 1A. REGISTER BASE64 -> WAV
|
||||
# =====================================================
|
||||
class RegisterPromptBase64(BaseModel):
|
||||
prompt_name: str
|
||||
base64_audio: str
|
||||
|
||||
|
||||
@app.post("/register-prompt-base64")
|
||||
async def register_prompt_base64(data: RegisterPromptBase64):
|
||||
filename = f"{data.prompt_name}.wav"
|
||||
path = os.path.join(PROMPT_FOLDER, filename)
|
||||
|
||||
try:
|
||||
raw = base64.b64decode(data.base64_audio)
|
||||
with open(path, "wb") as f:
|
||||
f.write(raw)
|
||||
|
||||
return {"status": "ok", "file": filename}
|
||||
|
||||
except Exception as e:
|
||||
return JSONResponse(
|
||||
status_code=400, content={"error": f"Gagal decode / simpan audio: {e}"}
|
||||
)
|
||||
|
||||
|
||||
# =====================================================
|
||||
# 1B. REGISTER FILE UPLOAD (form-data)
|
||||
# =====================================================
|
||||
@app.post("/register-prompt-file")
|
||||
async def register_prompt_file(prompt: UploadFile = File(...), name: str = Form(None)):
|
||||
prompt_name = name if name else os.path.splitext(prompt.filename)[0]
|
||||
save_path = os.path.join(PROMPT_FOLDER, f"{prompt_name}.wav")
|
||||
|
||||
try:
|
||||
with open(save_path, "wb") as f:
|
||||
f.write(await prompt.read())
|
||||
|
||||
return {"status": "ok", "file": f"{prompt_name}.wav"}
|
||||
|
||||
except Exception as e:
|
||||
return JSONResponse(
|
||||
status_code=500, content={"error": f"Gagal menyimpan prompt: {e}"}
|
||||
)
|
||||
|
||||
|
||||
# =====================================================
|
||||
# LIST PROMPT
|
||||
# =====================================================
|
||||
@app.get("/list-prompt")
|
||||
async def list_prompt():
|
||||
try:
|
||||
files = os.listdir(PROMPT_FOLDER)
|
||||
wav_files = [f for f in files if f.lower().endswith(".wav")]
|
||||
|
||||
return {
|
||||
"count": len(wav_files),
|
||||
"prompts": wav_files,
|
||||
"prompt_names": [os.path.splitext(f)[0] for f in wav_files],
|
||||
}
|
||||
except Exception as e:
|
||||
return JSONResponse(
|
||||
status_code=500, content={"error": f"Gagal membaca folder prompt: {e}"}
|
||||
)
|
||||
|
||||
|
||||
# =====================================================
|
||||
# DELETE PROMPT
|
||||
# =====================================================
|
||||
class DeletePrompt(BaseModel):
|
||||
prompt_name: str
|
||||
|
||||
|
||||
@app.post("/delete-prompt")
|
||||
async def delete_prompt(data: DeletePrompt):
|
||||
file_path = os.path.join(PROMPT_FOLDER, f"{data.prompt_name}.wav")
|
||||
|
||||
if not os.path.exists(file_path):
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Prompt tidak ditemukan"}
|
||||
)
|
||||
|
||||
try:
|
||||
os.remove(file_path)
|
||||
return {"status": "ok", "deleted": f"{data.prompt_name}.wav"}
|
||||
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": f"Gagal menghapus: {e}"})
|
||||
|
||||
|
||||
# =====================================================
|
||||
# RENAME PROMPT
|
||||
# =====================================================
|
||||
class RenamePrompt(BaseModel):
|
||||
old_name: str
|
||||
new_name: str
|
||||
|
||||
|
||||
@app.post("/rename-prompt")
|
||||
async def rename_prompt(data: RenamePrompt):
|
||||
old_path = os.path.join(PROMPT_FOLDER, f"{data.old_name}.wav")
|
||||
new_path = os.path.join(PROMPT_FOLDER, f"{data.new_name}.wav")
|
||||
|
||||
if not os.path.exists(old_path):
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Prompt lama tidak ditemukan"}
|
||||
)
|
||||
|
||||
if os.path.exists(new_path):
|
||||
return JSONResponse(
|
||||
status_code=400, content={"error": "Nama baru sudah digunakan"}
|
||||
)
|
||||
|
||||
try:
|
||||
os.rename(old_path, new_path)
|
||||
return {"status": "ok", "from": data.old_name, "to": data.new_name}
|
||||
|
||||
except Exception as e:
|
||||
return JSONResponse(status_code=500, content={"error": f"Gagal rename: {e}"})
|
||||
|
||||
|
||||
# =====================================================
|
||||
# 2. TTS - ENHANCED dengan parameter optimal
|
||||
# =====================================================
|
||||
@app.post("/tts")
|
||||
async def tts(text: str = Form(...), prompt: str = Form(...)):
|
||||
prompt_path = os.path.join(PROMPT_FOLDER, f"{prompt}.wav")
|
||||
|
||||
if not os.path.exists(prompt_path):
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Prompt tidak ditemukan"}
|
||||
)
|
||||
|
||||
# Generate dengan parameter optimal untuk naturalness
|
||||
try:
|
||||
wav = model.generate(
|
||||
text,
|
||||
audio_prompt_path=prompt_path,
|
||||
temperature=TEMPERATURE, # Lebih rendah = lebih konsisten dengan prompt
|
||||
top_p=TOP_P, # Sampling lebih fokus
|
||||
repetition_penalty=REPETITION_PENALTY, # Hindari pola robot
|
||||
)
|
||||
except Exception as e:
|
||||
return JSONResponse(
|
||||
status_code=500, content={"error": f"Gagal generate audio: {e}"}
|
||||
)
|
||||
|
||||
# Enhanced audio processing
|
||||
wav = enhance_audio(wav.cpu(), model.sr)
|
||||
|
||||
# Simpan ke buffer memori
|
||||
buffer = io.BytesIO()
|
||||
ta.save(buffer, wav, model.sr, format="wav")
|
||||
buffer.seek(0)
|
||||
|
||||
return StreamingResponse(
|
||||
buffer,
|
||||
media_type="audio/wav",
|
||||
headers={"Content-Disposition": "attachment; filename=output.wav"}
|
||||
)
|
||||
|
||||
|
||||
# =====================================================
|
||||
# 3. TTS dengan parameter custom (advanced)
|
||||
# =====================================================
|
||||
class TTSCustomParams(BaseModel):
|
||||
text: str
|
||||
prompt: str
|
||||
temperature: float = TEMPERATURE
|
||||
top_p: float = TOP_P
|
||||
repetition_penalty: float = REPETITION_PENALTY
|
||||
|
||||
|
||||
@app.post("/tts-custom")
|
||||
async def tts_custom(params: TTSCustomParams):
|
||||
"""
|
||||
Endpoint untuk experimentation dengan parameter berbeda
|
||||
"""
|
||||
prompt_path = os.path.join(PROMPT_FOLDER, f"{params.prompt}.wav")
|
||||
|
||||
if not os.path.exists(prompt_path):
|
||||
return JSONResponse(
|
||||
status_code=404, content={"error": "Prompt tidak ditemukan"}
|
||||
)
|
||||
|
||||
try:
|
||||
wav = model.generate(
|
||||
params.text,
|
||||
audio_prompt_path=prompt_path,
|
||||
temperature=params.temperature,
|
||||
top_p=params.top_p,
|
||||
repetition_penalty=params.repetition_penalty,
|
||||
)
|
||||
except Exception as e:
|
||||
return JSONResponse(
|
||||
status_code=500, content={"error": f"Gagal generate audio: {e}"}
|
||||
)
|
||||
|
||||
wav = enhance_audio(wav.cpu(), model.sr)
|
||||
|
||||
buffer = io.BytesIO()
|
||||
ta.save(buffer, wav, model.sr, format="wav")
|
||||
buffer.seek(0)
|
||||
|
||||
return StreamingResponse(
|
||||
buffer,
|
||||
media_type="audio/wav",
|
||||
headers={"Content-Disposition": "attachment; filename=output_custom.wav"}
|
||||
)
|
||||
|
||||
|
||||
# =========================
|
||||
# Root
|
||||
# =========================
|
||||
@app.get("/")
|
||||
async def root():
|
||||
return {
|
||||
"message": "Chatterbox TTS API - Enhanced Voice Quality",
|
||||
"version": "2.0",
|
||||
"improvements": [
|
||||
"Optimized temperature & sampling for source similarity",
|
||||
"Enhanced audio processing for natural voice",
|
||||
"Reduced robotic artifacts",
|
||||
"Better emotion & intonation preservation",
|
||||
"Analog-style warmth processing"
|
||||
]
|
||||
}
|
||||
|
||||
|
||||
# =========================
|
||||
# Health check
|
||||
# =========================
|
||||
@app.get("/health")
|
||||
async def health():
|
||||
return {
|
||||
"status": "healthy",
|
||||
"model_loaded": True,
|
||||
"device": DEVICE,
|
||||
"settings": {
|
||||
"temperature": TEMPERATURE,
|
||||
"top_p": TOP_P,
|
||||
"repetition_penalty": REPETITION_PENALTY,
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run("claude_clonev4:app", host="0.0.0.0", port=6007, reload=False)
|
||||
101
xdownload.ts
Normal file
101
xdownload.ts
Normal file
@@ -0,0 +1,101 @@
|
||||
import fs from "fs";
|
||||
import randomstring from "randomstring";
|
||||
|
||||
const TEMP_DIR = "./temp-tts";
|
||||
const FAILED_LOG = TEMP_DIR + "/failed.log";
|
||||
|
||||
const sub_name = randomstring.generate({ length: 5, charset: "alphanumeric" });
|
||||
const HOST = "http://85.31.224.193:4000";
|
||||
|
||||
// tidur
|
||||
const sleep = (ms: number) => new Promise((res) => setTimeout(res, ms));
|
||||
|
||||
// cek apakah file sudah ada
|
||||
function fileExists(path: string) {
|
||||
return fs.existsSync(path) && fs.statSync(path).size > 44;
|
||||
}
|
||||
|
||||
// tulis log gagal
|
||||
function logFail(msg: string) {
|
||||
fs.appendFileSync(FAILED_LOG, msg + "\n");
|
||||
}
|
||||
|
||||
async function downloadWithRetry(jobId: string, outFile: string) {
|
||||
const MAX_RETRY = 5;
|
||||
|
||||
// jika sebelumnya sudah ada → skip
|
||||
if (fileExists(outFile)) {
|
||||
console.log(` 🔁 Resume: file sudah ada → ${outFile}`);
|
||||
return true;
|
||||
}
|
||||
|
||||
for (let attempt = 1; attempt <= MAX_RETRY; attempt++) {
|
||||
try {
|
||||
console.log(` ⏳ Download ${jobId} (try ${attempt}/${MAX_RETRY})...`);
|
||||
const res = await fetch(`${HOST}/file/${jobId}`);
|
||||
|
||||
if (!res.ok) {
|
||||
throw new Error(`Status ${res.status}`);
|
||||
}
|
||||
|
||||
const buf = Buffer.from(await res.arrayBuffer());
|
||||
|
||||
// pastikan ukurannya wajar
|
||||
if (buf.length < 44) {
|
||||
throw new Error("File terlalu kecil (korup?)");
|
||||
}
|
||||
|
||||
fs.writeFileSync(outFile, buf);
|
||||
console.log(` ✓ Success → ${outFile}`);
|
||||
return true;
|
||||
} catch (err: any) {
|
||||
console.error(` ❌ Error: ${err.message}`);
|
||||
if (attempt < MAX_RETRY) {
|
||||
console.log(" 🔄 Retry dalam 2s...");
|
||||
await sleep(2000);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.error(` ❌ Gagal total untuk ${jobId}`);
|
||||
logFail(jobId);
|
||||
return false;
|
||||
}
|
||||
|
||||
async function main() {
|
||||
const jobsPath = TEMP_DIR + "/jobs.json";
|
||||
if (!fs.existsSync(jobsPath)) {
|
||||
console.error("❌ jobs.json not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
const jobs = JSON.parse(fs.readFileSync(jobsPath, "utf-8"));
|
||||
console.log(`📦 Total jobs: ${jobs.length}`);
|
||||
|
||||
const resultFiles: string[] = [];
|
||||
|
||||
for (let i = 0; i < jobs.length; i++) {
|
||||
const jobId = jobs[i];
|
||||
const outFile = `${TEMP_DIR}/${jobId}_${sub_name}_${(i + 1)
|
||||
.toString()
|
||||
.padStart(4, "0")}.wav`;
|
||||
|
||||
console.log(`\n▶️ Job ${i + 1}/${jobs.length} → ${jobId}`);
|
||||
|
||||
const success = await downloadWithRetry(jobId, outFile);
|
||||
|
||||
if (success) {
|
||||
resultFiles.push(outFile);
|
||||
}
|
||||
}
|
||||
|
||||
console.log("\n🎉 DONE!");
|
||||
console.log("Result files:", resultFiles);
|
||||
return resultFiles;
|
||||
}
|
||||
|
||||
if (import.meta.main) {
|
||||
main().then((files) => {
|
||||
console.log("\n📁 Final:", files.length, "file tersimpan.");
|
||||
});
|
||||
}
|
||||
209
xfetch.ts
Normal file
209
xfetch.ts
Normal file
@@ -0,0 +1,209 @@
|
||||
import fs from "fs";
|
||||
|
||||
const HOST = "http://85.31.224.193:4000/";
|
||||
const TEMP_DIR = "./temp-tts";
|
||||
|
||||
// Pastikan folder temp ada
|
||||
if (!fs.existsSync(TEMP_DIR)) {
|
||||
fs.mkdirSync(TEMP_DIR, { recursive: true });
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
CLEAN TEXT (AMAN UNTUK UNICODE)
|
||||
============================================================ */
|
||||
|
||||
function convertDateToText(text: string): string {
|
||||
const months = [
|
||||
"Januari", "Februari", "Maret", "April", "Mei", "Juni",
|
||||
"Juli", "Agustus", "September", "Oktober", "November", "Desember"
|
||||
];
|
||||
|
||||
return text.replace(/\(?(\d{1,2})\/(\d{1,2})\/(\d{4})\)?/g, (_, dd, mm, yyyy) => {
|
||||
const monthIndex = parseInt(mm, 10) - 1;
|
||||
if (monthIndex < 0 || monthIndex > 11) return _;
|
||||
return `${parseInt(dd, 10)} ${months[monthIndex]} ${yyyy}`;
|
||||
});
|
||||
}
|
||||
|
||||
function cleanText(text: string): string {
|
||||
// Ubah tanggal dulu biar lebih mudah dibaca TTS
|
||||
text = convertDateToText(text);
|
||||
|
||||
return text
|
||||
// izinkan: huruf, angka, spasi, dan . , ! ? ;
|
||||
.replace(/[^\p{L}\p{N} .,!?;]/gu, "")
|
||||
// normalkan banyak spasi menjadi 1 spasi
|
||||
.replace(/\s+/g, " ")
|
||||
// trim spasi kiri/kanan
|
||||
.trim();
|
||||
}
|
||||
|
||||
|
||||
|
||||
|
||||
/* ============================================================
|
||||
SPLIT TEXT (MAKSIMAL 200 CHAR + CARI TITIK/KOMA/!?)
|
||||
============================================================ */
|
||||
|
||||
function splitText(text: string, max = 200): string[] {
|
||||
const chunks: string[] = [];
|
||||
text = text.trim();
|
||||
|
||||
const isDecimal = (str: string, idx: number) => {
|
||||
// kasus angka.desimal → contoh: 1000.25 atau 1,234.56
|
||||
const before = str[idx - 1];
|
||||
const after = str[idx + 1];
|
||||
return /\d/.test(before || '') && /\d/.test(after || '');
|
||||
};
|
||||
|
||||
const isThousandsSeparator = (str: string, idx: number) => {
|
||||
// angka ribuan 1.234 atau 2,500 dll
|
||||
const before = str[idx - 1];
|
||||
const after = str[idx + 1];
|
||||
return /\d/.test(before || '') && /\d/.test(after || '');
|
||||
};
|
||||
|
||||
while (text.length > 0) {
|
||||
if (text.length <= max) {
|
||||
chunks.push(text);
|
||||
break;
|
||||
}
|
||||
|
||||
const slice = text.slice(0, max);
|
||||
|
||||
let cutIndex = -1;
|
||||
|
||||
// Cari tanda baca yang aman untuk split
|
||||
for (let i = slice.length - 1; i >= 0; i--) {
|
||||
const ch = slice[i];
|
||||
|
||||
if (".,!?;".includes(ch || '')) {
|
||||
// Abaikan jika itu bagian dari angka
|
||||
if (isDecimal(slice, i)) continue;
|
||||
if (isThousandsSeparator(slice, i)) continue;
|
||||
|
||||
cutIndex = i + 1;
|
||||
break;
|
||||
}
|
||||
}
|
||||
|
||||
// Jika tidak ada tanda baca yang valid
|
||||
if (cutIndex === -1) cutIndex = max;
|
||||
|
||||
const part = text.slice(0, cutIndex).trim();
|
||||
if (part) chunks.push(part);
|
||||
|
||||
text = text.slice(cutIndex).trim();
|
||||
}
|
||||
|
||||
return chunks;
|
||||
}
|
||||
|
||||
|
||||
/* ============================================================
|
||||
FETCH WITH RETRY
|
||||
============================================================ */
|
||||
|
||||
async function fetchRetry(url: string, options: any = {}, retries = 3) {
|
||||
for (let i = 0; i < retries; i++) {
|
||||
try {
|
||||
return await fetch(url, options);
|
||||
} catch (err) {
|
||||
console.warn(`Fetch attempt ${i + 1} failed:`, err);
|
||||
if (i === retries - 1) throw err;
|
||||
await new Promise((r) => setTimeout(r, 1000 * (i + 1)));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
TTS ASYNC REQUEST
|
||||
============================================================ */
|
||||
|
||||
async function generate(text: string) {
|
||||
const res = await fetchRetry(`${HOST}/tts-async`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/x-www-form-urlencoded" },
|
||||
body: new URLSearchParams({ text, prompt: "dayu" }),
|
||||
});
|
||||
|
||||
if (!res) {
|
||||
throw new Error("Failed to fetch result");
|
||||
}
|
||||
|
||||
let data;
|
||||
try {
|
||||
data = await res.json();
|
||||
} catch {
|
||||
throw new Error("Invalid JSON response from server");
|
||||
}
|
||||
|
||||
if (!data.job_id) {
|
||||
console.error("❌ Response tidak mengandung job_id:", data);
|
||||
throw new Error("job_id missing in generate response");
|
||||
}
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
|
||||
/* ============================================================
|
||||
MAIN
|
||||
============================================================ */
|
||||
|
||||
(async () => {
|
||||
console.log("🎙️ TTS Async Client Starting...\n");
|
||||
|
||||
let text = `
|
||||
Kalau soal **minimal durasi contoh suara untuk clone suara (voice cloning)** di model seperti Chatterbox TTS atau umumnya model voice cloning, biasanya durasi minimalnya tergantung dari kualitas dan metode cloning-nya.
|
||||
|
||||
Berikut gambaran umumnya:
|
||||
|
||||
* **Minimal durasi ideal untuk voice cloning berkualitas cukup baik:**
|
||||
**sekitar 30 detik – 1 menit** rekaman suara bersih, jernih, tanpa noise, dan dengan intonasi alami.
|
||||
|
||||
* **Jika kurang dari 30 detik:**
|
||||
Model bisa saja clone, tapi hasilnya biasanya kurang natural dan suaranya bisa terdengar “robotik” atau kurang variatif.
|
||||
|
||||
* **Durasi lebih dari 1 menit:**
|
||||
Biasanya semakin bagus hasil cloning karena model punya banyak data untuk belajar karakter suara, intonasi, ekspresi, dan variasi.
|
||||
|
||||
---
|
||||
|
||||
### Catatan:
|
||||
|
||||
* Kualitas rekaman sangat penting: noise rendah, microphone bagus, format lossless (WAV) lebih disarankan.
|
||||
* Banyak model TTS/voice cloning modern bisa pakai data pendek, tapi kualitas output terbatas.
|
||||
* Kalau kamu pakai Chatterbox TTS khusus, coba cek dokumentasi mereka apakah ada rekomendasi durasi input.
|
||||
|
||||
---
|
||||
|
||||
Kalau kamu butuh, aku bisa bantu cek dokumentasi spesifik Chatterbox TTS atau rekomendasi untuk voice cloning dari model lain juga. Mau?
|
||||
|
||||
`;
|
||||
|
||||
text = cleanText(text);
|
||||
|
||||
const parts = splitText(text, 360);
|
||||
|
||||
console.log(`📝 Total chunks: ${parts.length}\n`);
|
||||
|
||||
const jobs: string[] = [];
|
||||
|
||||
// SEND JOBS
|
||||
console.log("📤 Sending jobs to server...");
|
||||
for (let i = 0; i < parts.length; i++) {
|
||||
try {
|
||||
const res = await generate(parts[i] as string);
|
||||
jobs.push(res.job_id);
|
||||
console.log(` ✓ Job ${i + 1}/${parts.length}: ${res.job_id}`);
|
||||
} catch (error) {
|
||||
console.error(`❌ Failed to generate job for chunk ${i + 1}:`, error);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`\n✅ All ${jobs.length} jobs submitted\n`);
|
||||
fs.writeFileSync(`${TEMP_DIR}/jobs.json`, JSON.stringify(jobs));
|
||||
|
||||
})();
|
||||
416
xfetch.txt
Normal file
416
xfetch.txt
Normal file
@@ -0,0 +1,416 @@
|
||||
/**
|
||||
* Production-Ready TTS Async Client - Fixed WAV Merge
|
||||
* Author: ChatGPT (Optimized & Fixed)
|
||||
*/
|
||||
|
||||
import fs from "fs";
|
||||
import path from "path";
|
||||
|
||||
const HOST = "https://office4-chatterbox.wibudev.com";
|
||||
const TEMP_DIR = "./temp-tts";
|
||||
|
||||
// Pastikan folder temp ada
|
||||
if (!fs.existsSync(TEMP_DIR)) {
|
||||
fs.mkdirSync(TEMP_DIR, { recursive: true });
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
CLEAN TEXT (AMAN UNTUK UNICODE)
|
||||
============================================================ */
|
||||
|
||||
function cleanText(text: string): string {
|
||||
return text.replace(/[^\p{L}\p{N}\p{P}\p{Zs}]/gu, "").trim();
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
SPLIT TEXT (MAKSIMAL 200 CHAR + CARI TITIK/KOMA/!?)
|
||||
============================================================ */
|
||||
|
||||
function splitText(text: string, max = 200): string[] {
|
||||
const chunks: string[] = [];
|
||||
text = text.trim();
|
||||
|
||||
while (text.length > 0) {
|
||||
if (text.length <= max) {
|
||||
chunks.push(text.trim());
|
||||
break;
|
||||
}
|
||||
|
||||
const slice = text.slice(0, max);
|
||||
|
||||
// cari tanda baca terakhir
|
||||
const lastPunct = Math.max(
|
||||
slice.lastIndexOf("."),
|
||||
slice.lastIndexOf(","),
|
||||
slice.lastIndexOf(";"),
|
||||
slice.lastIndexOf("!"),
|
||||
slice.lastIndexOf("?")
|
||||
);
|
||||
|
||||
const cutIndex = lastPunct !== -1 ? lastPunct + 1 : max;
|
||||
|
||||
const part = text.slice(0, cutIndex).trim();
|
||||
if (part.length > 0) chunks.push(part);
|
||||
|
||||
text = text.slice(cutIndex).trim();
|
||||
|
||||
if (text.length === 0) break;
|
||||
}
|
||||
|
||||
return chunks;
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
FETCH WITH RETRY
|
||||
============================================================ */
|
||||
|
||||
async function fetchRetry(url: string, options: any = {}, retries = 3) {
|
||||
for (let i = 0; i < retries; i++) {
|
||||
try {
|
||||
return await fetch(url, options);
|
||||
} catch (err) {
|
||||
console.warn(`Fetch attempt ${i + 1} failed:`, err);
|
||||
if (i === retries - 1) throw err;
|
||||
await new Promise((r) => setTimeout(r, 1000 * (i + 1)));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
TTS ASYNC REQUEST
|
||||
============================================================ */
|
||||
|
||||
async function generate(text: string) {
|
||||
const res = await fetchRetry(`${HOST}/tts-async`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/x-www-form-urlencoded" },
|
||||
body: new URLSearchParams({ text, prompt: "dayu" }),
|
||||
});
|
||||
|
||||
if (!res) {
|
||||
throw new Error("Failed to fetch result");
|
||||
}
|
||||
|
||||
let data;
|
||||
try {
|
||||
data = await res.json();
|
||||
} catch {
|
||||
throw new Error("Invalid JSON response from server");
|
||||
}
|
||||
|
||||
if (!data.job_id) {
|
||||
console.error("❌ Response tidak mengandung job_id:", data);
|
||||
throw new Error("job_id missing in generate response");
|
||||
}
|
||||
|
||||
return data;
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
FETCH RESULT + DOWNLOAD AUDIO
|
||||
============================================================ */
|
||||
|
||||
async function fetchResult(jobId: string) {
|
||||
const res = await fetchRetry(`${HOST}/result/${jobId}`);
|
||||
|
||||
if (!res) {
|
||||
throw new Error("Failed to fetch result");
|
||||
}
|
||||
|
||||
const type = res.headers.get("content-type") || "";
|
||||
|
||||
if (type.includes("application/json")) {
|
||||
try {
|
||||
return await res.json();
|
||||
} catch {
|
||||
throw new Error("Invalid JSON response on fetchResult");
|
||||
}
|
||||
}
|
||||
|
||||
// Audio response
|
||||
const buf = Buffer.from(await res.arrayBuffer());
|
||||
|
||||
if (buf.length < 44) {
|
||||
throw new Error("Invalid WAV: too small");
|
||||
}
|
||||
|
||||
const file = `${TEMP_DIR}/audio_${jobId}.wav`;
|
||||
fs.writeFileSync(file, buf);
|
||||
return { status: "done", filePath: file };
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
READ WAV HEADER INFO
|
||||
============================================================ */
|
||||
|
||||
interface WavInfo {
|
||||
sampleRate: number;
|
||||
numChannels: number;
|
||||
bitsPerSample: number;
|
||||
byteRate: number;
|
||||
blockAlign: number;
|
||||
dataSize: number;
|
||||
}
|
||||
|
||||
function readWavInfo(buffer: Buffer): WavInfo {
|
||||
// Read WAV header
|
||||
const sampleRate = buffer.readUInt32LE(24);
|
||||
const byteRate = buffer.readUInt32LE(28);
|
||||
const blockAlign = buffer.readUInt16LE(32);
|
||||
const bitsPerSample = buffer.readUInt16LE(34);
|
||||
const numChannels = buffer.readUInt16LE(22);
|
||||
|
||||
// Find data chunk (skip any extra chunks like LIST, etc)
|
||||
let dataOffset = 36;
|
||||
while (dataOffset < buffer.length - 8) {
|
||||
const chunkId = buffer.toString('ascii', dataOffset, dataOffset + 4);
|
||||
const chunkSize = buffer.readUInt32LE(dataOffset + 4);
|
||||
|
||||
if (chunkId === 'data') {
|
||||
return {
|
||||
sampleRate,
|
||||
numChannels,
|
||||
bitsPerSample,
|
||||
byteRate,
|
||||
blockAlign,
|
||||
dataSize: chunkSize
|
||||
};
|
||||
}
|
||||
|
||||
dataOffset += 8 + chunkSize;
|
||||
}
|
||||
|
||||
// Fallback to old method if data chunk not found properly
|
||||
const dataSize = buffer.readUInt32LE(40);
|
||||
return {
|
||||
sampleRate,
|
||||
numChannels,
|
||||
bitsPerSample,
|
||||
byteRate,
|
||||
blockAlign,
|
||||
dataSize
|
||||
};
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
MERGE WAV FILES (PRODUCTION SAFE - FIXED)
|
||||
============================================================ */
|
||||
|
||||
function mergeWav(files: string[], output: string) {
|
||||
if (files.length === 0) throw new Error("No files to merge");
|
||||
|
||||
console.log(`\n🔧 Merging ${files.length} WAV files...`);
|
||||
|
||||
// Read first file to get format info
|
||||
const firstFile = fs.readFileSync(files[0] as string);
|
||||
const wavInfo = readWavInfo(firstFile);
|
||||
|
||||
console.log(`📊 WAV Format:`);
|
||||
console.log(` Sample Rate: ${wavInfo.sampleRate} Hz`);
|
||||
console.log(` Channels: ${wavInfo.numChannels}`);
|
||||
console.log(` Bits per Sample: ${wavInfo.bitsPerSample}`);
|
||||
console.log(` Block Align: ${wavInfo.blockAlign}`);
|
||||
|
||||
// Collect all PCM data
|
||||
const pcmBuffers: Buffer[] = [];
|
||||
let totalPCM = 0;
|
||||
|
||||
for (let i = 0; i < files.length; i++) {
|
||||
const f = files[i];
|
||||
if (!fs.existsSync(f as string)) {
|
||||
throw new Error(`File not found: ${f}`);
|
||||
}
|
||||
|
||||
const fileBuffer = fs.readFileSync(f as string);
|
||||
if (fileBuffer.length < 44) {
|
||||
throw new Error(`Invalid WAV file: ${f}`);
|
||||
}
|
||||
|
||||
// Find data chunk position (handle files with extra metadata)
|
||||
let dataOffset = 36;
|
||||
let dataSize = 0;
|
||||
|
||||
while (dataOffset < fileBuffer.length - 8) {
|
||||
const chunkId = fileBuffer.toString('ascii', dataOffset, dataOffset + 4);
|
||||
const chunkSize = fileBuffer.readUInt32LE(dataOffset + 4);
|
||||
|
||||
if (chunkId === 'data') {
|
||||
dataSize = chunkSize;
|
||||
dataOffset += 8; // Skip 'data' + size fields
|
||||
break;
|
||||
}
|
||||
|
||||
dataOffset += 8 + chunkSize;
|
||||
}
|
||||
|
||||
// Fallback if data chunk not found properly
|
||||
if (dataSize === 0) {
|
||||
dataSize = fileBuffer.readUInt32LE(40);
|
||||
dataOffset = 44;
|
||||
}
|
||||
|
||||
// Validate data size
|
||||
const availableData = fileBuffer.length - dataOffset;
|
||||
const actualDataSize = Math.min(dataSize, availableData);
|
||||
|
||||
if (actualDataSize <= 0) {
|
||||
console.warn(`⚠️ Warning: File ${i + 1} has no valid PCM data, skipping...`);
|
||||
continue;
|
||||
}
|
||||
|
||||
const pcmData = fileBuffer.slice(dataOffset, dataOffset + actualDataSize);
|
||||
|
||||
// Ensure data is aligned to block size
|
||||
const remainder = pcmData.length % wavInfo.blockAlign;
|
||||
const alignedData = remainder === 0
|
||||
? pcmData
|
||||
: pcmData.slice(0, pcmData.length - remainder);
|
||||
|
||||
pcmBuffers.push(alignedData);
|
||||
totalPCM += alignedData.length;
|
||||
|
||||
console.log(` ✓ File ${i + 1}/${files.length}: ${alignedData.length} bytes`);
|
||||
}
|
||||
|
||||
if (totalPCM === 0) {
|
||||
throw new Error("No valid PCM data found in any files");
|
||||
}
|
||||
|
||||
console.log(`\n📦 Total PCM data: ${totalPCM} bytes`);
|
||||
|
||||
// Create new WAV header
|
||||
const header = Buffer.alloc(44);
|
||||
|
||||
// RIFF header
|
||||
header.write('RIFF', 0);
|
||||
header.writeUInt32LE(36 + totalPCM, 4); // ChunkSize
|
||||
header.write('WAVE', 8);
|
||||
|
||||
// fmt subchunk
|
||||
header.write('fmt ', 12);
|
||||
header.writeUInt32LE(16, 16); // Subchunk1Size (16 for PCM)
|
||||
header.writeUInt16LE(1, 20); // AudioFormat (1 for PCM)
|
||||
header.writeUInt16LE(wavInfo.numChannels, 22); // NumChannels
|
||||
header.writeUInt32LE(wavInfo.sampleRate, 24); // SampleRate
|
||||
header.writeUInt32LE(wavInfo.byteRate, 28); // ByteRate
|
||||
header.writeUInt16LE(wavInfo.blockAlign, 32); // BlockAlign
|
||||
header.writeUInt16LE(wavInfo.bitsPerSample, 34); // BitsPerSample
|
||||
|
||||
// data subchunk
|
||||
header.write('data', 36);
|
||||
header.writeUInt32LE(totalPCM, 40); // Subchunk2Size
|
||||
|
||||
// Combine header and all PCM data
|
||||
const combined = Buffer.concat([header, ...pcmBuffers]);
|
||||
|
||||
fs.writeFileSync(output, combined);
|
||||
console.log(`✅ Merged file saved: ${output} (${combined.length} bytes)\n`);
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
CLEANUP TEMP FILES
|
||||
============================================================ */
|
||||
|
||||
function cleanup() {
|
||||
console.log("🧹 Cleaning up temporary files...");
|
||||
const files = fs.readdirSync(TEMP_DIR);
|
||||
for (const f of files) {
|
||||
fs.unlinkSync(path.join(TEMP_DIR, f));
|
||||
}
|
||||
console.log(` Removed ${files.length} temporary files\n`);
|
||||
}
|
||||
|
||||
/* ============================================================
|
||||
MAIN
|
||||
============================================================ */
|
||||
|
||||
(async () => {
|
||||
console.log("🎙️ TTS Async Client Starting...\n");
|
||||
|
||||
let text = `
|
||||
Ayu dan Niko tinggal serumah sebagai teman kost. Mereka dekat, tapi selalu bersitegang soal satu hal: kopi instan.
|
||||
Ayu percaya kopi instan adalah anugerah Tuhan untuk mahasiswa miskin. Niko, sebaliknya, sok jadi barista—ngopi harus pakai French press, biji kopi digiling sendiri, dan airnya harus 92 derajat Celsius persis.
|
||||
Suatu pagi, Ayu kehabisan stok kopi instannya. Dengan mata setengah terbuka dan rambut acak-acakan, ia merayap ke dapur dan melihat Niko sedang sibuk "mengritik" suhu air yang baru direbus.
|
||||
"Boleh pinjam kopimu?" tanya Ayu lemas.
|
||||
Niko menoleh dramatis. "Boleh… asal kamu janji: jangan campur gula lebih dari satu sendok, jangan tambah susu kental manis, dan jangan bilang ini 'kopi tubruk ala warung'!"
|
||||
Ayu mengangguk patuh
|
||||
Tapi begitu Niko ke kamar ganti baju, Ayu diam-diam mengambil seluruh bubuk kopi Niko, mencampurnya dengan susu kental manis, gula aren, dan… sedikit krimer dari sachet kopi instannya yang terakhir.
|
||||
Saat Niko kembali, ia langsung mencium aroma "kiamat kopi". Matanya melotot. "APA YANG KAMU LAKUKAN PADA BIJI KENYA SINGLE ORIGIN-ku?!"
|
||||
Ayu menyeruput santai. "Namanya sekarang… Kopi Cinta Gagal Fokus. Enak, lho."
|
||||
Niko menghela napas, lalu duduk di sebelahnya. Dengan berat hati, ia mencicipi… dan ternyata… enak juga.
|
||||
Sejak hari itu, mereka punya ritual baru: Sabtu pagi, mereka bikin "Kopi Cinta Gagal Fokus" bersama—dengan tetap berdebat soal apakah itu kopi atau susu manis beraroma kopi.
|
||||
`;
|
||||
|
||||
text = cleanText(text);
|
||||
const parts = splitText(text, 400);
|
||||
|
||||
console.log(`📝 Total chunks: ${parts.length}\n`);
|
||||
|
||||
const jobs: string[] = [];
|
||||
|
||||
// SEND JOBS
|
||||
console.log("📤 Sending jobs to server...");
|
||||
for (let i = 0; i < parts.length; i++) {
|
||||
try {
|
||||
const res = await generate(parts[i] as string) ;
|
||||
jobs.push(res.job_id);
|
||||
console.log(` ✓ Job ${i + 1}/${parts.length}: ${res.job_id}`);
|
||||
} catch (error) {
|
||||
console.error(`❌ Failed to generate job for chunk ${i + 1}:`, error);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`\n✅ All ${jobs.length} jobs submitted\n`);
|
||||
|
||||
// POLLING SEMUA
|
||||
console.log("⏳ Waiting for processing...");
|
||||
const resultFiles: string[] = [];
|
||||
|
||||
for (let i = 0; i < jobs.length; i++) {
|
||||
const jobId = jobs[i];
|
||||
let status = "processing";
|
||||
let delay = 1500;
|
||||
let attempts = 0;
|
||||
|
||||
while (status === "processing" || status === "pending") {
|
||||
try {
|
||||
const res = await fetchResult(jobId as string);
|
||||
status = res.status;
|
||||
|
||||
if (status === "done" && res.filePath) {
|
||||
resultFiles.push(res.filePath as string);
|
||||
console.log(` ✓ Job ${i + 1}/${jobs.length} completed: ${jobId}`);
|
||||
break;
|
||||
} else if (status === "error") {
|
||||
console.error(` ❌ Job ${i + 1}/${jobs.length} failed: ${res.error || 'Unknown error'}`);
|
||||
throw new Error(`Job ${jobId} failed`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`❌ Error fetching result for job ${i + 1}:`, error);
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
attempts++;
|
||||
await new Promise((r) => setTimeout(r, delay));
|
||||
delay = Math.min(delay * 1.2, 5000);
|
||||
|
||||
// Timeout after 2 minutes
|
||||
if (attempts > 80) {
|
||||
console.error(`❌ Job ${jobId} timeout after 2 minutes`);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log(`\n✅ All jobs completed!\n`);
|
||||
|
||||
// MERGE SEMUA WAV
|
||||
const outputFile = "./final_merged.wav";
|
||||
mergeWav(resultFiles, outputFile);
|
||||
|
||||
console.log("🎉 DONE! Output:", outputFile);
|
||||
|
||||
// Cleanup temp folder
|
||||
cleanup();
|
||||
})();
|
||||
106
xmerge.ts
Normal file
106
xmerge.ts
Normal file
@@ -0,0 +1,106 @@
|
||||
import * as fs from "node:fs/promises";
|
||||
import { constants as fsConstants } from "node:fs";
|
||||
import { execFile } from "node:child_process";
|
||||
import { promisify } from "node:util";
|
||||
|
||||
// --- Konfigurasi ---
|
||||
const TEMP_DIR = "./temp-tts";
|
||||
const LIST_FILE_NAME = "wav-list.txt";
|
||||
|
||||
const exec = promisify(execFile);
|
||||
|
||||
/**
|
||||
* Menggabungkan daftar file WAV menggunakan ffmpeg concat demuxer.
|
||||
* @param relativeFileNames Array NAMA file WAV yang berada di TEMP_DIR (misal: ['a.wav', 'b.wav']).
|
||||
* @param output Path lengkap untuk menyimpan file WAV hasil gabungan.
|
||||
*/
|
||||
async function merge(relativeFileNames: string[], output: string): Promise<void> {
|
||||
if (relativeFileNames.length === 0) {
|
||||
console.warn("⚠️ Tidak ada file untuk digabungkan. Melewati proses.");
|
||||
return;
|
||||
}
|
||||
|
||||
console.log(`\n🔧 Menggabungkan ${relativeFileNames.length} file WAV menggunakan ffmpeg...`);
|
||||
|
||||
const listFilePath = `${TEMP_DIR}/${LIST_FILE_NAME}`;
|
||||
|
||||
// Perbaikan: Tulis nama file saja tanpa prefix TEMP_DIR agar path valid saat concat
|
||||
const listContent = relativeFileNames
|
||||
.map((f) => `file '${f.replace(/'/g, "'\\''")}'`)
|
||||
.join("\n");
|
||||
|
||||
try {
|
||||
await fs.writeFile(listFilePath, listContent, "utf-8");
|
||||
} catch (err) {
|
||||
console.error(`❌ Gagal menulis file list ${listFilePath}:`, err);
|
||||
throw new Error(`Gagal menyiapkan file list untuk ffmpeg.`);
|
||||
}
|
||||
|
||||
try {
|
||||
await exec("ffmpeg", [
|
||||
"-f", "concat",
|
||||
"-safe", "0",
|
||||
"-i", listFilePath,
|
||||
"-c", "copy", // Menggabungkan tanpa re-encoding
|
||||
output,
|
||||
]);
|
||||
|
||||
console.log(`✅ File berhasil digabungkan dan disimpan di: ${output}\n`);
|
||||
} catch (err) {
|
||||
console.error("❌ Kesalahan saat menjalankan ffmpeg:", err);
|
||||
if (err instanceof Error && 'stdout' in err) {
|
||||
console.error('ffmpeg stderr output:', (err as any).stderr);
|
||||
}
|
||||
throw new Error(`Penggabungan ffmpeg gagal.`);
|
||||
} finally {
|
||||
try {
|
||||
await fs.unlink(listFilePath);
|
||||
} catch {
|
||||
console.warn(`⚠️ Gagal menghapus file list ${listFilePath}.`);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// --- Fungsi Utama ---
|
||||
export async function merge_wav() {
|
||||
|
||||
await fs.mkdir(`./output`, { recursive: true }).catch(() => {});
|
||||
const output = `./output/merged.wav`;
|
||||
|
||||
try {
|
||||
await fs.access(output, fsConstants.F_OK);
|
||||
await fs.unlink(output);
|
||||
} catch (error) {}
|
||||
|
||||
|
||||
try {
|
||||
// Cek apakah direktori TEMP_DIR ada
|
||||
await fs.access(TEMP_DIR, fsConstants.F_OK);
|
||||
} catch {
|
||||
console.error(`❌ Direktori sementara ${TEMP_DIR} tidak ditemukan. Pastikan sudah membuat folder tersebut.`);
|
||||
return;
|
||||
}
|
||||
|
||||
// Baca daftar file WAV dalam TEMP_DIR
|
||||
const allFiles = await fs.readdir(TEMP_DIR);
|
||||
|
||||
const wavFileNames = allFiles
|
||||
.filter((f) => f.endsWith(".wav"))
|
||||
.sort((a, b) => {
|
||||
const aNum = parseInt(a?.split("_")[2] || "0");
|
||||
const bNum = parseInt(b?.split("_")[2] || "0");
|
||||
return aNum - bNum;
|
||||
});
|
||||
|
||||
try {
|
||||
await merge(wavFileNames, output);
|
||||
} catch (err) {
|
||||
console.error("⛔ Proses penggabungan utama gagal.");
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
if (import.meta.main) {
|
||||
merge_wav();
|
||||
}
|
||||
124
xpooling.ts
Normal file
124
xpooling.ts
Normal file
@@ -0,0 +1,124 @@
|
||||
import fs from "fs";
|
||||
import randomstring from "randomstring";
|
||||
|
||||
const TEMP_DIR = "./temp-tts";
|
||||
|
||||
const sub_name = randomstring.generate({ length: 5, charset: 'alphanumeric' });
|
||||
|
||||
const HOST = "https://office4-chatterbox.wibudev.com";
|
||||
|
||||
async function fetchRetry(url: string, options: any = {}, retries = 3) {
|
||||
for (let i = 0; i < retries; i++) {
|
||||
try {
|
||||
return await fetch(url, options);
|
||||
} catch (err) {
|
||||
console.warn(`Fetch attempt ${i + 1} failed:`, err);
|
||||
if (i === retries - 1) throw err;
|
||||
await new Promise((r) => setTimeout(r, 1000 * (i + 1)));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
async function fetchResult(jobId: string, partIndex: number) {
|
||||
const res = await fetchRetry(`${HOST}/result/${jobId}`);
|
||||
|
||||
if (!res) {
|
||||
throw new Error("Failed to fetch result");
|
||||
}
|
||||
|
||||
const type = res.headers.get("content-type") || "";
|
||||
|
||||
if (type.includes("application/json")) {
|
||||
try {
|
||||
return await res.json();
|
||||
} catch {
|
||||
throw new Error("Invalid JSON response on fetchResult");
|
||||
}
|
||||
}
|
||||
|
||||
// Audio response
|
||||
const buf = Buffer.from(await res.arrayBuffer());
|
||||
|
||||
if (buf.length < 44) {
|
||||
throw new Error("Invalid WAV: too small");
|
||||
}
|
||||
|
||||
const file = `${TEMP_DIR}/${jobId}_${sub_name}_${(partIndex + 1).toString().padStart(4, "0")}.wav`;
|
||||
fs.writeFileSync(file, buf);
|
||||
return { status: "done", filePath: file };
|
||||
}
|
||||
|
||||
export async function main() {
|
||||
const jobsPath = TEMP_DIR + "/jobs.json";
|
||||
if (!fs.existsSync(jobsPath)) {
|
||||
console.error("❌ jobs.json not found");
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
// POLLING SEMUA
|
||||
const jobs = JSON.parse(fs.readFileSync(jobsPath, "utf-8"));
|
||||
console.log("⏳ Waiting for processing...");
|
||||
const resultFiles: string[] = [];
|
||||
|
||||
for (let i = 0; i < jobs.length; i++) {
|
||||
const jobId = jobs[i];
|
||||
let status = "processing";
|
||||
let delay = 5000;
|
||||
let attempts = 0;
|
||||
|
||||
while (status === "processing" || status === "pending") {
|
||||
try {
|
||||
const res = await fetchResult(jobId as string, i);
|
||||
status = res.status;
|
||||
|
||||
if (status === "done" && res.filePath) {
|
||||
resultFiles.push(res.filePath as string);
|
||||
console.log(` ✓ Job ${i + 1}/${jobs.length} completed: ${jobId}`);
|
||||
|
||||
const resFile = await fetchRetry(`${HOST}/file/${jobId}`);
|
||||
if (!resFile) {
|
||||
throw new Error("Failed to fetch file");
|
||||
}
|
||||
const buf = Buffer.from(await res.arrayBuffer());
|
||||
|
||||
if (buf.length < 44) {
|
||||
throw new Error("Invalid WAV: too small");
|
||||
}
|
||||
|
||||
const file = `${TEMP_DIR}/${jobId}_${sub_name}_${(i + 1).toString().padStart(4, "0")}.wav`;
|
||||
fs.writeFileSync(file, buf);
|
||||
|
||||
break;
|
||||
} else if (status === "error") {
|
||||
console.error(
|
||||
` ❌ Job ${i + 1}/${jobs.length} failed: ${res.error || "Unknown error"}`
|
||||
);
|
||||
throw new Error(`Job ${jobId} failed`);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error(`❌ Error fetching result for job ${i + 1}:`, error);
|
||||
process.exit(1);
|
||||
}
|
||||
|
||||
attempts++;
|
||||
await new Promise((r) => setTimeout(r, delay));
|
||||
delay = Math.min(delay * 1.2, 5000);
|
||||
|
||||
// Timeout after 2 minutes
|
||||
if (attempts > 80) {
|
||||
console.error(`❌ Job ${jobId} timeout after 2 minutes`);
|
||||
process.exit(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
console.log("🎉 DONE!");
|
||||
return resultFiles;
|
||||
}
|
||||
|
||||
if (import.meta.main) {
|
||||
main().then((resultFiles) => {
|
||||
console.log("Result files:", resultFiles);
|
||||
});
|
||||
}
|
||||
6
xtest.sh
Normal file
6
xtest.sh
Normal file
@@ -0,0 +1,6 @@
|
||||
curl http://localhost:3000/api/chatterbox-tts/register-prompt-file \
|
||||
--request POST \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data '{
|
||||
"file": "@dayu.wav"
|
||||
}'
|
||||
325
xtiktok.ts
Normal file
325
xtiktok.ts
Normal file
@@ -0,0 +1,325 @@
|
||||
#!/usr/bin/env bun
|
||||
|
||||
import fs from "fs";
|
||||
import path from "path";
|
||||
|
||||
let sessionId: string | null = null;
|
||||
const BASE =
|
||||
"https://api16-normal-c-useast1a.tiktokv.com/media/api/text/speech/invoke/";
|
||||
|
||||
/** Konfigurasi sessionId */
|
||||
export function config(sid: string) {
|
||||
sessionId = sid;
|
||||
}
|
||||
|
||||
/** ---- Utility: split text pintar (maxLen, tidak memotong kata) ---- */
|
||||
function splitTextSmart(text: string, maxLen = 200): string[] {
|
||||
const parts: string[] = [];
|
||||
let remaining = text.trim();
|
||||
|
||||
while (remaining.length > maxLen) {
|
||||
let splitPos = remaining.lastIndexOf(" ", maxLen);
|
||||
|
||||
if (splitPos === -1) {
|
||||
// tidak ada spasi — paksa split di maxLen
|
||||
splitPos = maxLen;
|
||||
}
|
||||
|
||||
const chunk = remaining.slice(0, splitPos).trim();
|
||||
if (chunk.length === 0) {
|
||||
// safety guard: jika chunk kosong karena whitespace, skip satu char
|
||||
parts.push(remaining.slice(0, maxLen));
|
||||
remaining = remaining.slice(maxLen).trim();
|
||||
} else {
|
||||
parts.push(chunk);
|
||||
remaining = remaining.slice(splitPos).trim();
|
||||
}
|
||||
}
|
||||
|
||||
if (remaining.length > 0) parts.push(remaining);
|
||||
|
||||
return parts;
|
||||
}
|
||||
|
||||
/** ---- Simple semaphore / concurrency limiter ---- */
|
||||
class Semaphore {
|
||||
private permits: number;
|
||||
private waiters: Array<() => void> = [];
|
||||
|
||||
constructor(permits: number) {
|
||||
this.permits = permits;
|
||||
}
|
||||
|
||||
async acquire(): Promise<void> {
|
||||
if (this.permits > 0) {
|
||||
this.permits--;
|
||||
return;
|
||||
}
|
||||
await new Promise<void>((resolve) => {
|
||||
this.waiters.push(() => {
|
||||
this.permits--;
|
||||
resolve();
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
release(): void {
|
||||
this.permits++;
|
||||
const next = this.waiters.shift();
|
||||
if (next) {
|
||||
// immediately give to next waiter
|
||||
next();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/** ---- Helper: sleep ms ---- */
|
||||
function sleep(ms: number) {
|
||||
return new Promise((res) => setTimeout(res, ms));
|
||||
}
|
||||
|
||||
/** ---- Fetch single TTS part with retry logic ---- */
|
||||
async function fetchTTSPartWithRetry(
|
||||
partText: string,
|
||||
partIndex: number,
|
||||
fileName: string,
|
||||
speaker: string,
|
||||
maxRetries: number
|
||||
): Promise<string> {
|
||||
const attemptFetch = async (attempt: number): Promise<string> => {
|
||||
if (!sessionId) throw new Error("sessionId belum dikonfigurasi");
|
||||
|
||||
const url =
|
||||
BASE +
|
||||
"?" +
|
||||
new URLSearchParams({
|
||||
text_speaker: speaker,
|
||||
req_text: partText,
|
||||
speaker_map_type: "0",
|
||||
aid: "1233",
|
||||
}).toString();
|
||||
|
||||
const headers = {
|
||||
Cookie: `sessionid=${sessionId}`,
|
||||
"User-Agent":
|
||||
"com.zhiliaoapp.musically/2023101630 (Linux; U; Android 13; en_US; Pixel 7; Build/TQ3A.230805.001)",
|
||||
};
|
||||
|
||||
let resp: Response;
|
||||
try {
|
||||
resp = await fetch(url, { method: "POST", headers });
|
||||
} catch (err) {
|
||||
throw new Error(`Network error on fetch (attempt ${attempt}): ${err}`);
|
||||
}
|
||||
|
||||
const contentType = resp.headers.get("content-type");
|
||||
const outputName = `${fileName}_part-${partIndex + 1}.mp3`;
|
||||
const outputPath = path.resolve(outputName);
|
||||
|
||||
try {
|
||||
if (contentType?.includes("application/json")) {
|
||||
const json = await resp.json();
|
||||
if (json.status_code !== 0) {
|
||||
throw new Error(
|
||||
`TikTok TTS error (status_code != 0) on attempt ${attempt}: ${JSON.stringify(
|
||||
json
|
||||
)}`
|
||||
);
|
||||
}
|
||||
const base64 = json.data?.v_str;
|
||||
if (!base64) throw new Error("Tidak menemukan v_str pada respons");
|
||||
const buffer = Buffer.from(base64, "base64");
|
||||
await fs.promises.writeFile(outputPath, buffer);
|
||||
} else {
|
||||
// langsung audio
|
||||
const arr = await resp.arrayBuffer();
|
||||
const buf = Buffer.from(arr);
|
||||
await fs.promises.writeFile(outputPath, buf);
|
||||
}
|
||||
|
||||
// success
|
||||
return outputPath;
|
||||
} catch (err) {
|
||||
// jika file ditulis parsial — hapus sebelum retry
|
||||
try {
|
||||
if (fs.existsSync(outputPath)) await fs.promises.unlink(outputPath);
|
||||
} catch (_) {
|
||||
// ignore
|
||||
}
|
||||
throw err;
|
||||
}
|
||||
};
|
||||
|
||||
let attempt = 0;
|
||||
let lastErr: any = null;
|
||||
while (attempt <= maxRetries) {
|
||||
try {
|
||||
return await attemptFetch(attempt + 1);
|
||||
} catch (err) {
|
||||
lastErr = err;
|
||||
attempt++;
|
||||
if (attempt > maxRetries) break;
|
||||
// exponential backoff: 500ms * 2^(attempt-1)
|
||||
const backoff = 500 * 2 ** (attempt - 1);
|
||||
await sleep(backoff + Math.random() * 200);
|
||||
}
|
||||
}
|
||||
|
||||
throw new Error(
|
||||
`Failed to fetch TTS part after ${maxRetries} retries. Last error: ${lastErr}`
|
||||
);
|
||||
}
|
||||
|
||||
/** ---- Merge parts lossless (concatenate bytes) ---- */
|
||||
async function mergeMP3Files(parts: string[], outputFile: string) {
|
||||
// buat write stream (Bun + Node compatible)
|
||||
const writeStream = fs.createWriteStream(outputFile);
|
||||
|
||||
for (const file of parts) {
|
||||
const buffer = await fs.promises.readFile(file);
|
||||
writeStream.write(buffer);
|
||||
}
|
||||
|
||||
writeStream.end();
|
||||
|
||||
// pastikan stream selesai (wrap event)
|
||||
await new Promise<void>((resolve, reject) => {
|
||||
writeStream.on("finish", () => resolve());
|
||||
writeStream.on("error", (e) => reject(e));
|
||||
});
|
||||
}
|
||||
|
||||
/** ---- Cleanup helper: try delete files (ignore errors) ---- */
|
||||
async function tryCleanupFiles(files: string[]) {
|
||||
for (const f of files) {
|
||||
try {
|
||||
if (fs.existsSync(f)) await fs.promises.unlink(f);
|
||||
} catch (_) {
|
||||
// ignore cleanup errors
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* MAIN FUNCTION:
|
||||
* - text: string
|
||||
* - fileName: basename (without extension)
|
||||
* - speaker: tiktok speaker id (ex: id_001)
|
||||
* - concurrency: maximum parallel requests (default 5)
|
||||
* - maxRetries: retry per part (default 3)
|
||||
*/
|
||||
export async function createAudioFromText(
|
||||
text: string,
|
||||
fileName = "audio",
|
||||
speaker = "id_001",
|
||||
options?: { concurrency?: number; maxRetries?: number }
|
||||
): Promise<string> {
|
||||
const concurrency = options?.concurrency ?? 5;
|
||||
const maxRetries = options?.maxRetries ?? 3;
|
||||
|
||||
if (!text || !text.trim()) throw new Error("Text kosong");
|
||||
if (!sessionId) throw new Error("sessionId belum dikonfigurasi");
|
||||
|
||||
// split teks
|
||||
const chunks = splitTextSmart(text, 200);
|
||||
|
||||
// prepare semaphore
|
||||
const sem = new Semaphore(concurrency);
|
||||
|
||||
const partFiles: string[] = [];
|
||||
const tasks: Promise<void>[] = [];
|
||||
let failed = false;
|
||||
let failureError: any = null;
|
||||
|
||||
// for each chunk, create a task that respects concurrency
|
||||
for (let i = 0; i < chunks.length; i++) {
|
||||
const idx = i;
|
||||
const chunk = chunks[i];
|
||||
|
||||
const task = (async () => {
|
||||
await sem.acquire();
|
||||
try {
|
||||
const outputPath = await fetchTTSPartWithRetry(
|
||||
chunk!,
|
||||
idx,
|
||||
fileName,
|
||||
speaker,
|
||||
maxRetries
|
||||
);
|
||||
partFiles[idx] = outputPath; // keep order
|
||||
} catch (err) {
|
||||
failed = true;
|
||||
failureError = err;
|
||||
} finally {
|
||||
sem.release();
|
||||
}
|
||||
})();
|
||||
|
||||
tasks.push(task);
|
||||
}
|
||||
|
||||
// wait all tasks
|
||||
await Promise.all(tasks);
|
||||
|
||||
if (failed) {
|
||||
// cleanup any part files created
|
||||
await tryCleanupFiles(partFiles.filter(Boolean));
|
||||
throw new Error(
|
||||
`Gagal membuat beberapa part TTS. Error: ${String(failureError)}`
|
||||
);
|
||||
}
|
||||
|
||||
// merge parts
|
||||
const finalFile = path.resolve(`${fileName}_FINAL.mp3`);
|
||||
try {
|
||||
// ensure parts are in order
|
||||
const orderedParts = partFiles.slice(0, chunks.length);
|
||||
await mergeMP3Files(orderedParts, finalFile);
|
||||
|
||||
// cleanup part files after merge
|
||||
await tryCleanupFiles(orderedParts);
|
||||
} catch (err) {
|
||||
// cleanup partial final file and parts
|
||||
try {
|
||||
if (fs.existsSync(finalFile)) await fs.promises.unlink(finalFile);
|
||||
} catch (_) {}
|
||||
await tryCleanupFiles(partFiles.filter(Boolean));
|
||||
throw new Error(`Gagal merge/cleanup: ${err}`);
|
||||
}
|
||||
|
||||
return finalFile;
|
||||
}
|
||||
|
||||
/** ================= DEMO RUN ================= */
|
||||
async function main() {
|
||||
// ganti session id kamu
|
||||
config("7b7a48e1313f9413825a8544e52b1481");
|
||||
|
||||
const text = `
|
||||
Saat ini layanan pengurusan KTP secara langsung di Desa Darmasaba sedang tidak tersedia. Namun Anda tetap bisa mengurus KTP dengan langkah-langkah berikut:
|
||||
|
||||
1. Persiapkan dokumen sesuai kebutuhan, misalnya fotokopi KK, akta kelahiran, surat nikah (jika sudah menikah), atau surat keterangan hilang jika KTP lama hilang.
|
||||
2. Datang ke kantor Desa Darmasaba untuk mendapatkan surat pengantar pembuatan KTP.
|
||||
3. Serahkan dokumen dan surat pengantar tersebut ke kantor Kecamatan Abiansemal untuk proses verifikasi.
|
||||
4. Permohonan akan diteruskan ke Disdukcapil Kabupaten Badung untuk pencetakan KTP.
|
||||
5. Pengambilan KTP biasanya setelah 14 hari kerja.
|
||||
|
||||
Anda juga bisa memanfaatkan layanan perekaman e-KTP yang sudah tersedia di kantor desa agar proses lebih mudah. Untuk informasi lebih lengkap, Anda dapat mengunjungi situs resmi desa atau Disdukcapil Badung.
|
||||
|
||||
Mau saya bantu carikan info prosedur surat lain seperti surat keterangan domisili atau surat lainnya yang bisa diurus di Desa Darmasaba?
|
||||
`;
|
||||
|
||||
try {
|
||||
const final = await createAudioFromText(text, "hasilTTS", "id_001", {
|
||||
concurrency: 5,
|
||||
maxRetries: 3,
|
||||
});
|
||||
console.log("Final MP3 saved:", final);
|
||||
} catch (err) {
|
||||
console.error("Error:", err);
|
||||
}
|
||||
}
|
||||
|
||||
if (require.main === module) {
|
||||
main();
|
||||
}
|
||||
Reference in New Issue
Block a user