tambahannya

2025-12-07 09:00:54 +08:00
commit 822b68c10f
89 changed files with 16999 additions and 0 deletions
--- a/.env.example
+++ b/.env.example
@@ -0,0 +1,4 @@
 DATABASE_URL="postgresql://bip:Production_123@localhost:5432/mydb?schema=public"
 JWT_SECRET=super_sangat_rahasia_sekali
 BUN_PUBLIC_BASE_URL=http://localhost:3000
 PORT=3000
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1,42 @@
 # dependencies (bun install)
 node_modules
 # output
 out
 dist
 *.tgz
 # code coverage
 coverage
 *.lcov
 # logs
 logs
 _.log
 report.[0-9]_.[0-9]_.[0-9]_.[0-9]_.json
 # dotenv environment variable files
 .env
 .env.development.local
 .env.test.local
 .env.production.local
 .env.local
 # caches
 .eslintcache
 .cache
 *.tsbuildinfo
 # IntelliJ based IDEs
 .idea
 # Finder (MacOS) folder config
 .DS_Store
 # Prisma generated client
 generated/
 # nextpush
 nextpush
 nextpush/
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -0,0 +1,3 @@
 {
    "python.formatting.provider": "yapf"
 }
--- a/README.md
+++ b/README.md
@@ -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.
--- a/bin/env.generate.ts
+++ b/bin/env.generate.ts
@@ -0,0 +1,53 @@
 import * as fs from "fs";
 import * as path from "path";
 import * as dotenv from "dotenv";
 interface GenerateEnvTypesOptions {
    envFilePath?: string;
    outputDir?: string;
    outputFileName?: string;
 }
 export function generateEnvTypes(options: GenerateEnvTypesOptions = {}) {
    const {
        envFilePath = path.resolve(process.cwd(), ".env"),
        outputDir = path.resolve(process.cwd(), "types"),
        outputFileName = "env.d.ts",
    } = options;
    const outputFile = path.join(outputDir, outputFileName);
    // 1. Baca .env
    if (!fs.existsSync(envFilePath)) {
        console.warn(`⚠️ .env file not found at: ${envFilePath}`);
        return;
    }
    const envContent = fs.readFileSync(envFilePath, "utf-8");
    const parsed = dotenv.parse(envContent);
    // 2. Generate TypeScript declare
    const lines = Object.keys(parsed).map((key) => `    ${key}?: string;`);
    const fileContent = `declare namespace NodeJS {
  interface ProcessEnv {
 ${lines.join("\n")}
  }
 }
 `;
    // 3. Buat folder kalau belum ada
    if (!fs.existsSync(outputDir)) {
        fs.mkdirSync(outputDir, { recursive: true });
    }
    // 4. Tulis file
    fs.writeFileSync(outputFile, fileContent, "utf-8");
    console.log(`✅ Env types generated at: ${outputFile}`);
 }
 if (import.meta.main) {
    generateEnvTypes();
 }
--- a/bin/route.generate.ts
+++ b/bin/route.generate.ts
@@ -0,0 +1,416 @@
 #!/usr/bin/env bun
 import fs from "fs";
 import path from "path";
 import * as parser from "@babel/parser";
 import traverse from "@babel/traverse";
 import * as t from "@babel/types";
 import { readdirSync, statSync, writeFileSync } from "fs";
 import _ from "lodash";
 import { basename, extname, join, relative } from "path";
 const PAGES_DIR = join(process.cwd(), "src/pages");
 const OUTPUT_FILE = join(process.cwd(), "src/AppRoutes.tsx");
 /******************************
 * Prefetch Helper Template
 ******************************/
 const PREFETCH_HELPER = `
 /**
 * Prefetch lazy component:
 * - Hover
 * - Visible (viewport)
 * - Browser idle
 */
 export function attachPrefetch(el: HTMLElement | null, preload: () => void) {
  if (!el) return;
  let done = false;
  const run = () => {
    if (done) return;
    done = true;
    preload();
  };
  // 1) On hover
  el.addEventListener("pointerenter", run, { once: true });
  // 2) On visible (IntersectionObserver)
  const io = new IntersectionObserver((entries) => {
    if (entries && entries[0] && entries[0].isIntersecting) {
      run();
      io.disconnect();
    }
  });
  io.observe(el);
  // 3) On idle
  if ("requestIdleCallback" in window) {
    requestIdleCallback(() => run());
  } else {
    setTimeout(run, 200);
  }
 }
 `;
 /******************************
 * Component Name Generator
 ******************************/
 const toComponentName = (fileName: string): string =>
  fileName
    .replace(/\.[^/.]+$/, "")
    .replace(/[_-]+/g, " ")
    .replace(/([a-z])([A-Z])/g, "$1 $2")
    .replace(/\b\w/g, (c) => c.toUpperCase())
    .replace(/\s+/g, "");
 /******************************
 * Route Path Normalizer
 ******************************/
 function toRoutePath(name: string): string {
  name = name.replace(/\.[^/.]+$/, "");
  if (name.toLowerCase() === "home") return "/";
  if (name.toLowerCase() === "login") return "/login";
  if (name.toLowerCase() === "notfound") return "/*";
  if (name.startsWith("[") && name.endsWith("]"))
    return `:${name.slice(1, -1)}`;
  name = name.replace(/_page$/i, "").replace(/^form_/i, "");
  return _.kebabCase(name);
 }
 /******************************
 * Scan Folder + Validation + Dynamic Duplicate Check
 ******************************/
 function scan(dir: string): any[] {
  const items = readdirSync(dir);
  const routes: any[] = [];
  const dynamicParams = new Set<string>();
  for (const item of items) {
    const full = join(dir, item);
    const stat = statSync(full);
    if (stat.isDirectory()) {
      if (!/^[a-zA-Z0-9_-]+$/.test(item)) {
        console.warn(`⚠️ Invalid folder name: ${item}`);
      }
      routes.push({
        name: item,
        path: _.kebabCase(item),
        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 ${dir}`);
          process.exit(1);
        }
        dynamicParams.add(p);
      }
      routes.push({
        name: base,
        filePath: relative(join(process.cwd(), "src"), full).replace(/\\/g, "/"),
      });
    }
  }
  return routes;
 }
 /******************************
 * Index Detection
 ******************************/
 function findIndexFile(folderName: string, children: any[]) {
  const lower = folderName.toLowerCase();
  return (
    children.find((r: any) => r.name.toLowerCase().endsWith("_home")) ||
    children.find((r: any) => r.name.toLowerCase() === "index") ||
    children.find((r: any) => r.name.toLowerCase() === `${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 → ${out}`);
  generateTypeSafe(routes);
 }
 run();
--- a/bun-env.d.ts
+++ b/bun-env.d.ts
@@ -0,0 +1,17 @@
 // Generated by `bun init`
 declare module "*.svg" {
  /**
   * A path to the SVG file
   */
  const path: `${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;
 }
--- a/bun.lock
+++ b/bun.lock
@@ -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=="],
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    "tsyringe": ["tsyringe@4.10.0", "", { "dependencies": { "tslib": "^1.9.3" } }, "sha512-axr3IdNuVIxnaK5XGEUFTu3YmAQ6lllgrvqfEoR16g/HGnYY/6We4oWENtAnzK6/LpJ2ur9PAb80RBt7/U4ugw=="],
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    "tweetnacl": ["tweetnacl@1.0.3", "", {}, "sha512-6rt+RN7aOi1nGMyC4Xa5DdYiukl2UWCbcJft7YhxReBGQD7OAM8Pbxw6YMo4r2diNEA8FEmu32YOn9rhaiE5yw=="],
    "type-fest": ["type-fest@4.41.0", "", {}, ""],
    "typescript": ["typescript@5.9.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
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    "undici-types": ["undici-types@7.14.0", "", {}, ""],
    "universalify": ["universalify@2.0.1", "", {}, "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw=="],
    "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", "", {}, ""],
  }
 }
--- a/bunfig.toml
+++ b/bunfig.toml
@@ -0,0 +1,5 @@
 [serve.static]
 env = "BUN_PUBLIC_*"
 [plugin]
 preload = ["bun-plugin-glob-import/register"]
--- a/chatterbox/jobs/baru.json
+++ b/chatterbox/jobs/baru.json
@@ -0,0 +1 @@
 ["e4b37b72-d515-4aa4-b750-f9ab3e37f390","a4185301-2d75-4414-9390-455be77f34a4"]
--- a/chatterbox/jobs/dewi.json
+++ b/chatterbox/jobs/dewi.json
@@ -0,0 +1 @@
 ["3390f845-837c-4c34-bfdb-7a3cab9d1cc7","d30efb95-1ad4-4c58-8660-a10e0ca44988","4f328d59-9786-493d-ac98-ba83a73ab946","2b5447b3-30c2-4573-8029-5e10f3d3bf36"]
--- a/dayu.wav
+++ b/dayu.wav
--- a/hasilTTS_FINAL.mp3
+++ b/hasilTTS_FINAL.mp3
--- a/malik.wav
+++ b/malik.wav
--- a/malik_output.wav
+++ b/malik_output.wav
--- a/malik_output10.wav
+++ b/malik_output10.wav
--- a/output/merged.wav
+++ b/output/merged.wav
--- a/package.json
+++ b/package.json
@@ -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"
  }
 }
--- a/postcss.config.js
+++ b/postcss.config.js
@@ -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',
      },
    },
  },
 };
--- a/prisma/schema.prisma
+++ b/prisma/schema.prisma
@@ -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
 }
--- a/prisma/seed.ts
+++ b/prisma/seed.ts
@@ -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)
 })
--- a/public/READS.md
+++ b/public/READS.md
@@ -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.
--- a/public/apa.html
+++ b/public/apa.html
@@ -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>
--- a/public/kelincix.png
+++ b/public/kelincix.png
--- a/public/styles.css
+++ b/public/styles.css
--- a/py/main.py
+++ b/py/main.py
@@ -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}
--- a/py/op.py
+++ b/py/op.py
@@ -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())
--- a/py/tts_util.py
+++ b/py/tts_util.py
@@ -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)
--- a/src/App.tsx
+++ b/src/App.tsx
@@ -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>
  );
 }
--- a/src/AppRoutes.tsx
+++ b/src/AppRoutes.tsx
@@ -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>
  );
 }
--- a/src/Landing.tsx
+++ b/src/Landing.tsx
@@ -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>
  );
 }
--- a/src/clientRoutes.ts
+++ b/src/clientRoutes.ts
@@ -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;
--- a/src/components/ProtectedRoute.tsx
+++ b/src/components/ProtectedRoute.tsx
@@ -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 />;
 }
--- a/src/frontend.tsx
+++ b/src/frontend.tsx
@@ -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);
 }
--- a/src/index.css
+++ b/src/index.css
@@ -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;
  }
 }
--- a/src/index.html
+++ b/src/index.html
@@ -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>
--- a/src/index.tsx
+++ b/src/index.tsx
@@ -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;
--- a/src/lib/apiFetch.ts
+++ b/src/lib/apiFetch.ts
@@ -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
--- a/src/logo.svg
+++ b/src/logo.svg
@@ -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>
--- a/src/pages/Home.tsx
+++ b/src/pages/Home.tsx
@@ -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>
  );
 }
--- a/src/pages/Login.tsx
+++ b/src/pages/Login.tsx
@@ -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>
  );
 }
--- a/src/pages/NotFound.tsx
+++ b/src/pages/NotFound.tsx
@@ -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>
  );
 }
--- a/src/pages/Register.tsx
+++ b/src/pages/Register.tsx
@@ -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>
  );
 }
--- a/src/pages/dashboard/apikey/apikey_page.tsx
+++ b/src/pages/dashboard/apikey/apikey_page.tsx
@@ -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>
  );
 }
--- a/src/pages/dashboard/chatterbox-tts/ChatterboxListFile.tsx
+++ b/src/pages/dashboard/chatterbox-tts/ChatterboxListFile.tsx
@@ -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>
        </>
    );
 }
--- a/src/pages/dashboard/chatterbox-tts/ChatterboxListPrompt.tsx
+++ b/src/pages/dashboard/chatterbox-tts/ChatterboxListPrompt.tsx
@@ -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>
        </>
    );
 }
--- a/src/pages/dashboard/chatterbox-tts/ChatterboxRegisterPromptFile.tsx
+++ b/src/pages/dashboard/chatterbox-tts/ChatterboxRegisterPromptFile.tsx
@@ -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>
    );
 }
--- a/src/pages/dashboard/chatterbox-tts/ChatterboxTTSAsync.tsx
+++ b/src/pages/dashboard/chatterbox-tts/ChatterboxTTSAsync.tsx
@@ -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>
    );
 }
--- a/src/pages/dashboard/chatterbox-tts/chatterbox-tts-_page.tsx
+++ b/src/pages/dashboard/chatterbox-tts/chatterbox-tts-_page.tsx
@@ -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>
    );
 }
--- a/src/pages/dashboard/chatterbox-tts/chatterbox-tts_layout.tsx
+++ b/src/pages/dashboard/chatterbox-tts/chatterbox-tts_layout.tsx
@@ -0,0 +1,5 @@
 import { Outlet } from "react-router-dom";
 export default function ChatterboxTTSLayout() {
  return <Outlet />;
 }
--- a/src/pages/dashboard/dashboard_layout.tsx
+++ b/src/pages/dashboard/dashboard_layout.tsx
@@ -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>
  );
 }
--- a/src/pages/dashboard/dashboard_page.tsx
+++ b/src/pages/dashboard/dashboard_page.tsx
@@ -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>
  );
 }
--- a/src/pages/dashboard/tiktok-tts/tiktok_tts_layout.tsx
+++ b/src/pages/dashboard/tiktok-tts/tiktok_tts_layout.tsx
@@ -0,0 +1,5 @@
 import { Outlet } from "react-router-dom";
 export default function TiktokTtsLayout() {
  return <Outlet />;
 }
--- a/src/pages/dashboard/tiktok-tts/tiktok_tts_page.tsx
+++ b/src/pages/dashboard/tiktok-tts/tiktok_tts_page.tsx
@@ -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>
  );
 }
--- a/src/react.svg
+++ b/src/react.svg
@@ -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>
--- a/src/routeTypes.ts
+++ b/src/routeTypes.ts
@@ -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;
 }
--- a/src/server/lib/chatterbox.env.ts
+++ b/src/server/lib/chatterbox.env.ts
@@ -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 };
--- a/src/server/lib/prisma.ts
+++ b/src/server/lib/prisma.ts
@@ -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
 }
--- a/src/server/lib/tts_chatterbox.ts
+++ b/src/server/lib/tts_chatterbox.ts
@@ -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;
 }
--- a/src/server/lib/tts_chatterbox_download.ts
+++ b/src/server/lib/tts_chatterbox_download.ts
@@ -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
    };
 }
--- a/src/server/lib/tts_chatterbox_merge.ts
+++ b/src/server/lib/tts_chatterbox_merge.ts
@@ -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);
    }
 }
--- a/src/server/lib/tts_tiktok.ts
+++ b/src/server/lib/tts_tiktok.ts
@@ -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"
    })
 }
--- a/src/server/middlewares/apiAuth.ts
+++ b/src/server/middlewares/apiAuth.ts
@@ -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' }
      }
    })
 }
--- a/src/server/routes/apikey_route.ts
+++ b/src/server/routes/apikey_route.ts
@@ -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
--- a/src/server/routes/auth_route.ts
+++ b/src/server/routes/auth_route.ts
@@ -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
--- a/src/server/routes/chatterbox_tts.ts
+++ b/src/server/routes/chatterbox_tts.ts
@@ -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;
--- a/src/server/routes/tts_tiktok.ts
+++ b/src/server/routes/tts_tiktok.ts
@@ -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
--- a/temp-tts/04282526-fe6a-4e0e-a9fd-9c94dcf70662_EBWzB_0001.wav
+++ b/temp-tts/04282526-fe6a-4e0e-a9fd-9c94dcf70662_EBWzB_0001.wav
--- a/temp-tts/2e196685-b957-456c-9199-694e25e7b75f_EBWzB_0002.wav
+++ b/temp-tts/2e196685-b957-456c-9199-694e25e7b75f_EBWzB_0002.wav
--- a/temp-tts/de80f011-5b75-4e09-adac-11e0186831bf_EBWzB_0004.wav
+++ b/temp-tts/de80f011-5b75-4e09-adac-11e0186831bf_EBWzB_0004.wav
--- a/temp-tts/f16b7522-af2d-4ac7-b269-154820eaa6b8_EBWzB_0003.wav
+++ b/temp-tts/f16b7522-af2d-4ac7-b269-154820eaa6b8_EBWzB_0003.wav
--- a/temp-tts/jobs.json
+++ b/temp-tts/jobs.json
@@ -0,0 +1 @@
 ["04282526-fe6a-4e0e-a9fd-9c94dcf70662","2e196685-b957-456c-9199-694e25e7b75f","f16b7522-af2d-4ac7-b269-154820eaa6b8","de80f011-5b75-4e09-adac-11e0186831bf"]
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -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"]
 }
--- a/tts_tiktok_output/final/07dfc3c3-aec3-403d-a314-af3f356c95e5.mp3
+++ b/tts_tiktok_output/final/07dfc3c3-aec3-403d-a314-af3f356c95e5.mp3
--- a/tts_tiktok_output/final/baru_2_09c23559-8e57-4895-bf70-cf23143b2faa.mp3
+++ b/tts_tiktok_output/final/baru_2_09c23559-8e57-4895-bf70-cf23143b2faa.mp3
--- a/types/env.d.ts
+++ b/types/env.d.ts
@@ -0,0 +1,8 @@
 declare namespace NodeJS {
  interface ProcessEnv {
    DATABASE_URL?: string;
    JWT_SECRET?: string;
    BUN_PUBLIC_BASE_URL?: string;
    PORT?: string;
  }
 }
--- a/x.sh
+++ b/x.sh
@@ -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
--- a/xc.sh
+++ b/xc.sh
@@ -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
--- a/xclone.py
+++ b/xclone.py
@@ -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()
--- a/xclonev2.py
+++ b/xclonev2.py
@@ -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)
--- a/xclonev3.py
+++ b/xclonev3.py
@@ -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)
--- a/xdownload.ts
+++ b/xdownload.ts
@@ -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.");
    });
 }
--- a/xfetch.ts
+++ b/xfetch.ts
@@ -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));
 })();
--- a/xfetch.txt
+++ b/xfetch.txt
@@ -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();
 })();
--- a/xmerge.ts
+++ b/xmerge.ts
@@ -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();
 }
--- a/xpooling.ts
+++ b/xpooling.ts
@@ -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);
    });
 }
--- a/xtest.sh
+++ b/xtest.sh
@@ -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"
 }'
--- a/xtiktok.ts
+++ b/xtiktok.ts
@@ -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();
 }
--- a/xx.ts
+++ b/xx.ts
@@ -0,0 +1 @@
 console.log(`Ah! Sekarang saya paham masalahnya! Model di-load 2x dan yang lebih parah, semua 5 worker memproses teks yang SAMA secara bersamaan (bukan per-part). `.length)
		`@@ -0,0 +1 @@`
							`["e4b37b72-d515-4aa4-b750-f9ab3e37f390","a4185301-2d75-4414-9390-455be77f34a4"]`
		`@@ -0,0 +1 @@`
							`["3390f845-837c-4c34-bfdb-7a3cab9d1cc7","d30efb95-1ad4-4c58-8660-a10e0ca44988","4f328d59-9786-493d-ac98-ba83a73ab946","2b5447b3-30c2-4573-8029-5e10f3d3bf36"]`
		`@@ -0,0 +1 @@`
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		`@@ -0,0 +1 @@`
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		`@@ -0,0 +1 @@`
							console.log(`Ah! Sekarang saya paham masalahnya! Model di-load 2x dan yang lebih parah, semua 5 worker memproses teks yang SAMA secara bersamaan (bukan per-part). `.length)