├── .gitignore
├── .vscode
    └── extensions.json
├── README-zh.md
├── README.md
├── index.html
├── package.json
├── pnpm-lock.yaml
├── py
    ├── convert.py
    └── main.py
├── src-tauri
    ├── .gitignore
    ├── Cargo.lock
    ├── Cargo.toml
    ├── build.rs
    ├── capabilities
    │   └── default.json
    ├── icons
    │   ├── 128x128.png
    │   ├── 128x128@2x.png
    │   ├── 32x32.png
    │   ├── 64x64.png
    │   ├── Square107x107Logo.png
    │   ├── Square142x142Logo.png
    │   ├── Square150x150Logo.png
    │   ├── Square284x284Logo.png
    │   ├── Square30x30Logo.png
    │   ├── Square310x310Logo.png
    │   ├── Square44x44Logo.png
    │   ├── Square71x71Logo.png
    │   ├── Square89x89Logo.png
    │   ├── StoreLogo.png
    │   ├── icon-template.png
    │   ├── icon.icns
    │   ├── icon.ico
    │   └── icon.png
    ├── model
    │   ├── tokenizer-marian-base-en.json
    │   └── tokenizer-marian-base-zh.json
    ├── src
    │   ├── audio.rs
    │   ├── lib.rs
    │   ├── main.rs
    │   ├── translate.rs
    │   └── whisper.rs
    └── tauri.conf.json
├── src
    ├── App.css
    ├── App.tsx
    ├── assets
    │   └── react.svg
    ├── components
    │   ├── Lyrics.tsx
    │   ├── Settings.css
    │   └── Settings.tsx
    ├── main.tsx
    └── vite-env.d.ts
├── tsconfig.json
├── tsconfig.node.json
└── vite.config.ts


/.gitignore:
--------------------------------------------------------------------------------
 1 | # Logs
 2 | logs
 3 | *.log
 4 | npm-debug.log*
 5 | yarn-debug.log*
 6 | yarn-error.log*
 7 | pnpm-debug.log*
 8 | lerna-debug.log*
 9 | 
10 | node_modules
11 | dist
12 | dist-ssr
13 | *.local
14 | 
15 | # Editor directories and files
16 | .vscode/*
17 | !.vscode/extensions.json
18 | .idea
19 | .DS_Store
20 | *.suo
21 | *.ntvs*
22 | *.njsproj
23 | *.sln
24 | *.sw?
25 | __pycache__/


--------------------------------------------------------------------------------
/.vscode/extensions.json:
--------------------------------------------------------------------------------
1 | {
2 |   "recommendations": ["tauri-apps.tauri-vscode", "rust-lang.rust-analyzer"]
3 | }
4 | 


--------------------------------------------------------------------------------
/README-zh.md:
--------------------------------------------------------------------------------
 1 | <p align="center">
 2 |     <img
 3 |         width="96px"
 4 |         alt="Vibe logo"
 5 |         src="./src-tauri/icons/Square310x310Logo.png"
 6 |     />
 7 | </p>
 8 | 
 9 | <h1 align="center">Peeches  </h1>
10 | <h3 align="center"> 实时系统音频转录和翻译 </h3>
11 | 
12 | <p align="center">
13 |     <a href="./README.md">English</a> | <a href="./README-zh.md">中文</a>
14 | </p>
15 | 
16 | ![Image](https://github.com/user-attachments/assets/b5b0692b-bde5-4c3f-8284-7545f0846333)
17 | 
18 | # 功能
19 | 
20 | - 🎙️ 实时转录系统音频
21 | - 💻 支持 macOS 和 Windows
22 | - 🤖 完全本地的 AI 模型
23 | - 🎵 歌词样式的文本显示
24 | - 🦀 用纯 Rust 编写
25 | - 🌐 目前仅支持英语到中文的翻译
26 | 
27 | # 模型
28 | 
29 | - whisper: https://huggingface.co/ggerganov/whisper.cpp
30 | - opus-mt-en-zh: https://huggingface.co/Helsinki-NLP/opus-mt-en-zh
31 | 
32 | # 致谢
33 | 
34 | - [tauri](https://tauri.app/): 使用 Web 前端构建更小、更快、更安全的桌面和移动应用程序。
35 | - [whisper-rs](https://github.com/tazz4843/whisper-rs): Rust 绑定到 https://github.com/ggerganov/whisper.cpp
36 | - [candle](https://github.com/huggingface/candle): Rust 的极简主义 ML 框架
37 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | <p align="center">
 2 |     <img
 3 |         width="96px"
 4 |         alt="Vibe logo"
 5 |         src="./src-tauri/icons/Square310x310Logo.png"
 6 |     />
 7 | </p>
 8 | 
 9 | <h1 align="center">Peeches  </h1>
10 | <h3 align="center"> Real-time system audio transcription and translation </h3>
11 | 
12 | <p align="center">
13 |     <a href="./README.md">English</a> | <a href="./README-zh.md">中文</a>
14 | </p>
15 | 
16 | ![Image](https://github.com/user-attachments/assets/b5b0692b-bde5-4c3f-8284-7545f0846333)
17 | 
18 | # Features
19 | 
20 | - 🎙️ Transcribe system audio in real-time
21 | - 💻 Supports macOS and Windows
22 | - 🤖 Fully local AI model
23 | - 🎵 Lyrics-style text display
24 | - 🦀 Written in pure Rust
25 | - 🌐 Currently English to Chinese translation only
26 | 
27 | # Model
28 | 
29 | - whisper: https://huggingface.co/ggerganov/whisper.cpp
30 | - opus-mt-en-zh: https://huggingface.co/Helsinki-NLP/opus-mt-en-zh
31 | 
32 | # Credits
33 | 
34 | - [tauri](https://tauri.app/): Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
35 | - [whisper-rs](https://github.com/tazz4843/whisper-rs): Rust bindings to https://github.com/ggerganov/whisper.cpp
36 | - [candle](https://github.com/huggingface/candle): Minimalist ML framework for Rust
37 | 


--------------------------------------------------------------------------------
/index.html:
--------------------------------------------------------------------------------
 1 | <!doctype html>
 2 | <html lang="en">
 3 |   <head>
 4 |     <meta charset="UTF-8" />
 5 |     <link rel="icon" type="image/svg+xml" href="/vite.svg" />
 6 |     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
 7 |     <title>Tauri + React + Typescript</title>
 8 |   </head>
 9 | 
10 |   <body>
11 |     <div id="root"></div>
12 |     <script type="module" src="/src/main.tsx"></script>
13 |   </body>
14 | </html>
15 | 


--------------------------------------------------------------------------------
/package.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "name": "desktop-lyric",
 3 |   "private": true,
 4 |   "version": "0.1.0",
 5 |   "type": "module",
 6 |   "scripts": {
 7 |     "dev": "vite",
 8 |     "build": "tsc && vite build",
 9 |     "preview": "vite preview",
10 |     "tauri": "tauri"
11 |   },
12 |   "dependencies": {
13 |     "@tauri-apps/api": "^2",
14 |     "@tauri-apps/plugin-log": "~2",
15 |     "@tauri-apps/plugin-shell": "^2",
16 |     "@tauri-apps/plugin-store": "~2",
17 |     "lucide-react": "^0.474.0",
18 |     "react": "^18.2.0",
19 |     "react-dom": "^18.2.0",
20 |     "react-router-dom": "^7.1.5"
21 |   },
22 |   "devDependencies": {
23 |     "@tauri-apps/cli": "^2",
24 |     "@types/react": "^18.2.15",
25 |     "@types/react-dom": "^18.2.7",
26 |     "@vitejs/plugin-react": "^4.2.1",
27 |     "typescript": "^5.2.2",
28 |     "vite": "^5.3.1"
29 |   }
30 | }
31 | 


--------------------------------------------------------------------------------
/pnpm-lock.yaml:
--------------------------------------------------------------------------------
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   5 |   excludeLinksFromLockfile: false
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  13 |     version: 2.2.1
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  16 |     version: 2.2.0
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  28 |     version: 18.3.1(react@18.3.1)
  29 |   react-router-dom:
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  31 |     version: 7.1.5(react-dom@18.3.1)(react@18.3.1)
  32 | 
  33 | devDependencies:
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  36 |     version: 2.2.7
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 282 |     cpu: [x64]
 283 |     os: [darwin]
 284 |     requiresBuild: true
 285 |     dev: true
 286 |     optional: true
 287 | 
 288 |   /@esbuild/freebsd-arm64@0.21.5:
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 292 |     os: [freebsd]
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 295 |     optional: true
 296 | 
 297 |   /@esbuild/freebsd-x64@0.21.5:
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 301 |     os: [freebsd]
 302 |     requiresBuild: true
 303 |     dev: true
 304 |     optional: true
 305 | 
 306 |   /@esbuild/linux-arm64@0.21.5:
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 310 |     os: [linux]
 311 |     requiresBuild: true
 312 |     dev: true
 313 |     optional: true
 314 | 
 315 |   /@esbuild/linux-arm@0.21.5:
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 320 |     requiresBuild: true
 321 |     dev: true
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 323 | 
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 328 |     os: [linux]
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 330 |     dev: true
 331 |     optional: true
 332 | 
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 340 |     optional: true
 341 | 
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 357 |     dev: true
 358 |     optional: true
 359 | 
 360 |   /@esbuild/linux-riscv64@0.21.5:
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 366 |     dev: true
 367 |     optional: true
 368 | 
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 373 |     os: [linux]
 374 |     requiresBuild: true
 375 |     dev: true
 376 |     optional: true
 377 | 
 378 |   /@esbuild/linux-x64@0.21.5:
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 382 |     os: [linux]
 383 |     requiresBuild: true
 384 |     dev: true
 385 |     optional: true
 386 | 
 387 |   /@esbuild/netbsd-x64@0.21.5:
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 391 |     os: [netbsd]
 392 |     requiresBuild: true
 393 |     dev: true
 394 |     optional: true
 395 | 
 396 |   /@esbuild/openbsd-x64@0.21.5:
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 398 |     engines: {node: '>=12'}
 399 |     cpu: [x64]
 400 |     os: [openbsd]
 401 |     requiresBuild: true
 402 |     dev: true
 403 |     optional: true
 404 | 
 405 |   /@esbuild/sunos-x64@0.21.5:
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 407 |     engines: {node: '>=12'}
 408 |     cpu: [x64]
 409 |     os: [sunos]
 410 |     requiresBuild: true
 411 |     dev: true
 412 |     optional: true
 413 | 
 414 |   /@esbuild/win32-arm64@0.21.5:
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 417 |     cpu: [arm64]
 418 |     os: [win32]
 419 |     requiresBuild: true
 420 |     dev: true
 421 |     optional: true
 422 | 
 423 |   /@esbuild/win32-ia32@0.21.5:
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 426 |     cpu: [ia32]
 427 |     os: [win32]
 428 |     requiresBuild: true
 429 |     dev: true
 430 |     optional: true
 431 | 
 432 |   /@esbuild/win32-x64@0.21.5:
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 434 |     engines: {node: '>=12'}
 435 |     cpu: [x64]
 436 |     os: [win32]
 437 |     requiresBuild: true
 438 |     dev: true
 439 |     optional: true
 440 | 
 441 |   /@jridgewell/gen-mapping@0.3.8:
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 443 |     engines: {node: '>=6.0.0'}
 444 |     dependencies:
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 446 |       '@jridgewell/sourcemap-codec': 1.5.0
 447 |       '@jridgewell/trace-mapping': 0.3.25
 448 |     dev: true
 449 | 
 450 |   /@jridgewell/resolve-uri@3.1.2:
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 453 |     dev: true
 454 | 
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 457 |     engines: {node: '>=6.0.0'}
 458 |     dev: true
 459 | 
 460 |   /@jridgewell/sourcemap-codec@1.5.0:
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 462 |     dev: true
 463 | 
 464 |   /@jridgewell/trace-mapping@0.3.25:
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 466 |     dependencies:
 467 |       '@jridgewell/resolve-uri': 3.1.2
 468 |       '@jridgewell/sourcemap-codec': 1.5.0
 469 |     dev: true
 470 | 
 471 |   /@rollup/rollup-android-arm-eabi@4.34.7:
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 473 |     cpu: [arm]
 474 |     os: [android]
 475 |     requiresBuild: true
 476 |     dev: true
 477 |     optional: true
 478 | 
 479 |   /@rollup/rollup-android-arm64@4.34.7:
 480 |     resolution: {integrity: sha512-KvyJpFUueUnSp53zhAa293QBYqwm94TgYTIfXyOTtidhm5V0LbLCJQRGkQClYiX3FXDQGSvPxOTD/6rPStMMDg==}
 481 |     cpu: [arm64]
 482 |     os: [android]
 483 |     requiresBuild: true
 484 |     dev: true
 485 |     optional: true
 486 | 
 487 |   /@rollup/rollup-darwin-arm64@4.34.7:
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 489 |     cpu: [arm64]
 490 |     os: [darwin]
 491 |     requiresBuild: true
 492 |     dev: true
 493 |     optional: true
 494 | 
 495 |   /@rollup/rollup-darwin-x64@4.34.7:
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 497 |     cpu: [x64]
 498 |     os: [darwin]
 499 |     requiresBuild: true
 500 |     dev: true
 501 |     optional: true
 502 | 
 503 |   /@rollup/rollup-freebsd-arm64@4.34.7:
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 505 |     cpu: [arm64]
 506 |     os: [freebsd]
 507 |     requiresBuild: true
 508 |     dev: true
 509 |     optional: true
 510 | 
 511 |   /@rollup/rollup-freebsd-x64@4.34.7:
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 513 |     cpu: [x64]
 514 |     os: [freebsd]
 515 |     requiresBuild: true
 516 |     dev: true
 517 |     optional: true
 518 | 
 519 |   /@rollup/rollup-linux-arm-gnueabihf@4.34.7:
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 521 |     cpu: [arm]
 522 |     os: [linux]
 523 |     requiresBuild: true
 524 |     dev: true
 525 |     optional: true
 526 | 
 527 |   /@rollup/rollup-linux-arm-musleabihf@4.34.7:
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 529 |     cpu: [arm]
 530 |     os: [linux]
 531 |     requiresBuild: true
 532 |     dev: true
 533 |     optional: true
 534 | 
 535 |   /@rollup/rollup-linux-arm64-gnu@4.34.7:
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 537 |     cpu: [arm64]
 538 |     os: [linux]
 539 |     requiresBuild: true
 540 |     dev: true
 541 |     optional: true
 542 | 
 543 |   /@rollup/rollup-linux-arm64-musl@4.34.7:
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 545 |     cpu: [arm64]
 546 |     os: [linux]
 547 |     requiresBuild: true
 548 |     dev: true
 549 |     optional: true
 550 | 
 551 |   /@rollup/rollup-linux-loongarch64-gnu@4.34.7:
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 553 |     cpu: [loong64]
 554 |     os: [linux]
 555 |     requiresBuild: true
 556 |     dev: true
 557 |     optional: true
 558 | 
 559 |   /@rollup/rollup-linux-powerpc64le-gnu@4.34.7:
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 561 |     cpu: [ppc64]
 562 |     os: [linux]
 563 |     requiresBuild: true
 564 |     dev: true
 565 |     optional: true
 566 | 
 567 |   /@rollup/rollup-linux-riscv64-gnu@4.34.7:
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 570 |     os: [linux]
 571 |     requiresBuild: true
 572 |     dev: true
 573 |     optional: true
 574 | 
 575 |   /@rollup/rollup-linux-s390x-gnu@4.34.7:
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 577 |     cpu: [s390x]
 578 |     os: [linux]
 579 |     requiresBuild: true
 580 |     dev: true
 581 |     optional: true
 582 | 
 583 |   /@rollup/rollup-linux-x64-gnu@4.34.7:
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 586 |     os: [linux]
 587 |     requiresBuild: true
 588 |     dev: true
 589 |     optional: true
 590 | 
 591 |   /@rollup/rollup-linux-x64-musl@4.34.7:
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 593 |     cpu: [x64]
 594 |     os: [linux]
 595 |     requiresBuild: true
 596 |     dev: true
 597 |     optional: true
 598 | 
 599 |   /@rollup/rollup-win32-arm64-msvc@4.34.7:
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 601 |     cpu: [arm64]
 602 |     os: [win32]
 603 |     requiresBuild: true
 604 |     dev: true
 605 |     optional: true
 606 | 
 607 |   /@rollup/rollup-win32-ia32-msvc@4.34.7:
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 609 |     cpu: [ia32]
 610 |     os: [win32]
 611 |     requiresBuild: true
 612 |     dev: true
 613 |     optional: true
 614 | 
 615 |   /@rollup/rollup-win32-x64-msvc@4.34.7:
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 617 |     cpu: [x64]
 618 |     os: [win32]
 619 |     requiresBuild: true
 620 |     dev: true
 621 |     optional: true
 622 | 
 623 |   /@tauri-apps/api@2.2.0:
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 625 |     dev: false
 626 | 
 627 |   /@tauri-apps/cli-darwin-arm64@2.2.7:
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 629 |     engines: {node: '>= 10'}
 630 |     cpu: [arm64]
 631 |     os: [darwin]
 632 |     requiresBuild: true
 633 |     dev: true
 634 |     optional: true
 635 | 
 636 |   /@tauri-apps/cli-darwin-x64@2.2.7:
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 638 |     engines: {node: '>= 10'}
 639 |     cpu: [x64]
 640 |     os: [darwin]
 641 |     requiresBuild: true
 642 |     dev: true
 643 |     optional: true
 644 | 
 645 |   /@tauri-apps/cli-linux-arm-gnueabihf@2.2.7:
 646 |     resolution: {integrity: sha512-+Clha2iQAiK9zoY/KKW0KLHkR0k36O78YLx5Sl98tWkwI3OBZFg5H5WT1plH/4sbZIS2aLFN6dw58/JlY9Bu/g==}
 647 |     engines: {node: '>= 10'}
 648 |     cpu: [arm]
 649 |     os: [linux]
 650 |     requiresBuild: true
 651 |     dev: true
 652 |     optional: true
 653 | 
 654 |   /@tauri-apps/cli-linux-arm64-gnu@2.2.7:
 655 |     resolution: {integrity: sha512-Z/Lp4SQe6BUEOays9BQAEum2pvZF4w9igyXijP+WbkOejZx4cDvarFJ5qXrqSLmBh7vxrdZcLwoLk9U//+yQrg==}
 656 |     engines: {node: '>= 10'}
 657 |     cpu: [arm64]
 658 |     os: [linux]
 659 |     requiresBuild: true
 660 |     dev: true
 661 |     optional: true
 662 | 
 663 |   /@tauri-apps/cli-linux-arm64-musl@2.2.7:
 664 |     resolution: {integrity: sha512-+8HZ+txff/Y3YjAh80XcLXcX8kpGXVdr1P8AfjLHxHdS6QD4Md+acSxGTTNbplmHuBaSHJvuTvZf9tU1eDCTDg==}
 665 |     engines: {node: '>= 10'}
 666 |     cpu: [arm64]
 667 |     os: [linux]
 668 |     requiresBuild: true
 669 |     dev: true
 670 |     optional: true
 671 | 
 672 |   /@tauri-apps/cli-linux-x64-gnu@2.2.7:
 673 |     resolution: {integrity: sha512-ahlSnuCnUntblp9dG7/w5ZWZOdzRFi3zl0oScgt7GF4KNAOEa7duADsxPA4/FT2hLRa0SvpqtD4IYFvCxoVv3Q==}
 674 |     engines: {node: '>= 10'}
 675 |     cpu: [x64]
 676 |     os: [linux]
 677 |     requiresBuild: true
 678 |     dev: true
 679 |     optional: true
 680 | 
 681 |   /@tauri-apps/cli-linux-x64-musl@2.2.7:
 682 |     resolution: {integrity: sha512-+qKAWnJRSX+pjjRbKAQgTdFY8ecdcu8UdJ69i7wn3ZcRn2nMMzOO2LOMOTQV42B7/Q64D1pIpmZj9yblTMvadA==}
 683 |     engines: {node: '>= 10'}
 684 |     cpu: [x64]
 685 |     os: [linux]
 686 |     requiresBuild: true
 687 |     dev: true
 688 |     optional: true
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1046 |       '@rollup/rollup-darwin-arm64': 4.34.7
1047 |       '@rollup/rollup-darwin-x64': 4.34.7
1048 |       '@rollup/rollup-freebsd-arm64': 4.34.7
1049 |       '@rollup/rollup-freebsd-x64': 4.34.7
1050 |       '@rollup/rollup-linux-arm-gnueabihf': 4.34.7
1051 |       '@rollup/rollup-linux-arm-musleabihf': 4.34.7
1052 |       '@rollup/rollup-linux-arm64-gnu': 4.34.7
1053 |       '@rollup/rollup-linux-arm64-musl': 4.34.7
1054 |       '@rollup/rollup-linux-loongarch64-gnu': 4.34.7
1055 |       '@rollup/rollup-linux-powerpc64le-gnu': 4.34.7
1056 |       '@rollup/rollup-linux-riscv64-gnu': 4.34.7
1057 |       '@rollup/rollup-linux-s390x-gnu': 4.34.7
1058 |       '@rollup/rollup-linux-x64-gnu': 4.34.7
1059 |       '@rollup/rollup-linux-x64-musl': 4.34.7
1060 |       '@rollup/rollup-win32-arm64-msvc': 4.34.7
1061 |       '@rollup/rollup-win32-ia32-msvc': 4.34.7
1062 |       '@rollup/rollup-win32-x64-msvc': 4.34.7
1063 |       fsevents: 2.3.3
1064 |     dev: true
1065 | 
1066 |   /scheduler@0.23.2:
1067 |     resolution: {integrity: sha512-UOShsPwz7NrMUqhR6t0hWjFduvOzbtv7toDH1/hIrfRNIDBnnBWd0CwJTGvTpngVlmwGCdP9/Zl/tVrDqcuYzQ==}
1068 |     dependencies:
1069 |       loose-envify: 1.4.0
1070 |     dev: false
1071 | 
1072 |   /semver@6.3.1:
1073 |     resolution: {integrity: sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==}
1074 |     hasBin: true
1075 |     dev: true
1076 | 
1077 |   /set-cookie-parser@2.7.1:
1078 |     resolution: {integrity: sha512-IOc8uWeOZgnb3ptbCURJWNjWUPcO3ZnTTdzsurqERrP6nPyv+paC55vJM0LpOlT2ne+Ix+9+CRG1MNLlyZ4GjQ==}
1079 |     dev: false
1080 | 
1081 |   /source-map-js@1.2.1:
1082 |     resolution: {integrity: sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA==}
1083 |     engines: {node: '>=0.10.0'}
1084 |     dev: true
1085 | 
1086 |   /turbo-stream@2.4.0:
1087 |     resolution: {integrity: sha512-FHncC10WpBd2eOmGwpmQsWLDoK4cqsA/UT/GqNoaKOQnT8uzhtCbg3EoUDMvqpOSAI0S26mr0rkjzbOO6S3v1g==}
1088 |     dev: false
1089 | 
1090 |   /typescript@5.7.3:
1091 |     resolution: {integrity: sha512-84MVSjMEHP+FQRPy3pX9sTVV/INIex71s9TL2Gm5FG/WG1SqXeKyZ0k7/blY/4FdOzI12CBy1vGc4og/eus0fw==}
1092 |     engines: {node: '>=14.17'}
1093 |     hasBin: true
1094 |     dev: true
1095 | 
1096 |   /update-browserslist-db@1.1.2(browserslist@4.24.4):
1097 |     resolution: {integrity: sha512-PPypAm5qvlD7XMZC3BujecnaOxwhrtoFR+Dqkk5Aa/6DssiH0ibKoketaj9w8LP7Bont1rYeoV5plxD7RTEPRg==}
1098 |     hasBin: true
1099 |     peerDependencies:
1100 |       browserslist: '>= 4.21.0'
1101 |     dependencies:
1102 |       browserslist: 4.24.4
1103 |       escalade: 3.2.0
1104 |       picocolors: 1.1.1
1105 |     dev: true
1106 | 
1107 |   /vite@5.4.14:
1108 |     resolution: {integrity: sha512-EK5cY7Q1D8JNhSaPKVK4pwBFvaTmZxEnoKXLG/U9gmdDcihQGNzFlgIvaxezFR4glP1LsuiedwMBqCXH3wZccA==}
1109 |     engines: {node: ^18.0.0 || >=20.0.0}
1110 |     hasBin: true
1111 |     peerDependencies:
1112 |       '@types/node': ^18.0.0 || >=20.0.0
1113 |       less: '*'
1114 |       lightningcss: ^1.21.0
1115 |       sass: '*'
1116 |       sass-embedded: '*'
1117 |       stylus: '*'
1118 |       sugarss: '*'
1119 |       terser: ^5.4.0
1120 |     peerDependenciesMeta:
1121 |       '@types/node':
1122 |         optional: true
1123 |       less:
1124 |         optional: true
1125 |       lightningcss:
1126 |         optional: true
1127 |       sass:
1128 |         optional: true
1129 |       sass-embedded:
1130 |         optional: true
1131 |       stylus:
1132 |         optional: true
1133 |       sugarss:
1134 |         optional: true
1135 |       terser:
1136 |         optional: true
1137 |     dependencies:
1138 |       esbuild: 0.21.5
1139 |       postcss: 8.5.2
1140 |       rollup: 4.34.7
1141 |     optionalDependencies:
1142 |       fsevents: 2.3.3
1143 |     dev: true
1144 | 
1145 |   /yallist@3.1.1:
1146 |     resolution: {integrity: sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==}
1147 |     dev: true
1148 | 


--------------------------------------------------------------------------------
/py/convert.py:
--------------------------------------------------------------------------------
  1 | # coding=utf-8
  2 | # Copyright 2018 The HuggingFace Inc. team.
  3 | #
  4 | # Licensed under the Apache License, Version 2.0 (the "License");
  5 | # you may not use this file except in compliance with the License.
  6 | # You may obtain a copy of the License at
  7 | #
  8 | #     http://www.apache.org/licenses/LICENSE-2.0
  9 | #
 10 | # Unless required by applicable law or agreed to in writing, software
 11 | # distributed under the License is distributed on an "AS IS" BASIS,
 12 | # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 13 | # See the License for the specific language governing permissions and
 14 | # limitations under the License.
 15 | # https://github.com/huggingface/candle/blob/main/candle-examples/examples/marian-mt/convert_slow_tokenizer.py
 16 | """
 17 | Utilities to convert slow tokenizers in their fast tokenizers counterparts.
 18 | 
 19 | All the conversions are grouped here to gather SentencePiece dependencies outside of the fast tokenizers files and
 20 | allow to make our dependency on SentencePiece optional.
 21 | """
 22 | 
 23 | import warnings
 24 | from typing import Dict, List, Tuple
 25 | 
 26 | from packaging import version
 27 | from pathlib import Path
 28 | from tokenizers import AddedToken, Regex, Tokenizer, decoders, normalizers, pre_tokenizers, processors
 29 | from tokenizers.models import BPE, Unigram, WordPiece
 30 | 
 31 | from transformers.utils import is_protobuf_available, requires_backends
 32 | from transformers.utils.import_utils import PROTOBUF_IMPORT_ERROR
 33 | 
 34 | 
 35 | def import_protobuf(error_message=""):
 36 |     if is_protobuf_available():
 37 |         import google.protobuf
 38 | 
 39 |         if version.parse(google.protobuf.__version__) < version.parse("4.0.0"):
 40 |             from transformers.utils import sentencepiece_model_pb2
 41 |         else:
 42 |             from transformers.utils import sentencepiece_model_pb2_new as sentencepiece_model_pb2
 43 |         return sentencepiece_model_pb2
 44 |     else:
 45 |         raise ImportError(PROTOBUF_IMPORT_ERROR.format(error_message))
 46 | 
 47 | def _get_prepend_scheme(add_prefix_space: bool, original_tokenizer) -> str:
 48 |     if add_prefix_space:
 49 |         prepend_scheme = "always"
 50 |         if hasattr(original_tokenizer, "legacy") and not original_tokenizer.legacy:
 51 |             prepend_scheme = "first"
 52 |     else:
 53 |         prepend_scheme = "never"
 54 |     return prepend_scheme
 55 | 
 56 | class SentencePieceExtractor:
 57 |     """
 58 |     Extractor implementation for SentencePiece trained models. https://github.com/google/sentencepiece
 59 |     """
 60 | 
 61 |     def __init__(self, model: str):
 62 |         requires_backends(self, "sentencepiece")
 63 |         from sentencepiece import SentencePieceProcessor
 64 | 
 65 |         self.sp = SentencePieceProcessor()
 66 |         self.sp.Load(model)
 67 | 
 68 |     def extract(self, vocab_scores=None) -> Tuple[Dict[str, int], List[Tuple]]:
 69 |         """
 70 |         By default will return vocab and merges with respect to their order, by sending `vocab_scores` we're going to
 71 |         order the merges with respect to the piece scores instead.
 72 |         """
 73 |         sp = self.sp
 74 |         vocab = {sp.id_to_piece(index): index for index in range(sp.GetPieceSize())}
 75 |         if vocab_scores is not None:
 76 |             vocab_scores, reverse = dict(vocab_scores), True
 77 |         else:
 78 |             vocab_scores, reverse = vocab, False
 79 | 
 80 |         # Merges
 81 |         merges = []
 82 |         for merge, piece_score in vocab_scores.items():
 83 |             local = []
 84 |             for index in range(1, len(merge)):
 85 |                 piece_l, piece_r = merge[:index], merge[index:]
 86 |                 if piece_l in vocab and piece_r in vocab:
 87 |                     local.append((piece_l, piece_r, piece_score))
 88 |             local = sorted(local, key=lambda x: (vocab[x[0]], vocab[x[1]]))
 89 |             merges.extend(local)
 90 | 
 91 |         merges = sorted(merges, key=lambda val: val[2], reverse=reverse)
 92 |         merges = [(val[0], val[1]) for val in merges]
 93 |         return vocab, merges
 94 | 
 95 | 
 96 | def check_number_comma(piece: str) -> bool:
 97 |     return len(piece) < 2 or piece[-1] != "," or not piece[-2].isdigit()
 98 | 
 99 | 
100 | class Converter:
101 |     def __init__(self, original_tokenizer):
102 |         self.original_tokenizer = original_tokenizer
103 | 
104 |     def converted(self) -> Tokenizer:
105 |         raise NotImplementedError()
106 | 
107 | 
108 | class SpmConverter(Converter):
109 |     def __init__(self, *args):
110 |         requires_backends(self, "protobuf")
111 | 
112 |         super().__init__(*args)
113 | 
114 |         # from .utils import sentencepiece_model_pb2 as model_pb2
115 |         model_pb2 = import_protobuf()
116 | 
117 |         m = model_pb2.ModelProto()
118 |         with open(self.original_tokenizer.vocab_file, "rb") as f:
119 |             m.ParseFromString(f.read())
120 |         self.proto = m
121 | 
122 |         if self.proto.trainer_spec.byte_fallback:
123 |             if not getattr(self, "handle_byte_fallback", None):
124 |                 warnings.warn(
125 |                     "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
126 |                     " which is not implemented in the fast tokenizers. In practice this means that the fast version of the"
127 |                     " tokenizer can produce unknown tokens whereas the sentencepiece version would have converted these "
128 |                     "unknown tokens into a sequence of byte tokens matching the original piece of text."
129 |                 )
130 | 
131 |     def vocab(self, proto):
132 |         return [(piece.piece, piece.score) for piece in proto.pieces]
133 | 
134 |     def unk_id(self, proto):
135 |         return proto.trainer_spec.unk_id
136 | 
137 |     def tokenizer(self, proto):
138 |         model_type = proto.trainer_spec.model_type
139 |         vocab_scores = self.vocab(proto)
140 |         unk_id = self.unk_id(proto)
141 | 
142 |         if model_type == 1:
143 |             tokenizer = Tokenizer(Unigram(vocab_scores, unk_id))
144 |         elif model_type == 2:
145 |             _, merges = SentencePieceExtractor(self.original_tokenizer.vocab_file).extract()
146 |             bpe_vocab = {word: i for i, (word, score) in enumerate(vocab_scores)}
147 |             tokenizer = Tokenizer(
148 |                 BPE(
149 |                     bpe_vocab,
150 |                     merges,
151 |                     unk_token=proto.trainer_spec.unk_piece,
152 |                     fuse_unk=True,
153 |                 )
154 |             )
155 |         else:
156 |             raise Exception(
157 |                 "You're trying to run a `Unigram` model but you're file was trained with a different algorithm"
158 |             )
159 | 
160 |         return tokenizer
161 | 
162 |     def normalizer(self, proto):
163 |         precompiled_charsmap = proto.normalizer_spec.precompiled_charsmap
164 |         if not precompiled_charsmap:
165 |             return normalizers.Sequence([normalizers.Replace(Regex(" {2,}"), " ")])
166 |         else:
167 |             return normalizers.Sequence(
168 |                 [normalizers.Precompiled(precompiled_charsmap), normalizers.Replace(Regex(" {2,}"), " ")]
169 |             )
170 | 
171 |     def pre_tokenizer(self, replacement, add_prefix_space):
172 |         prepend_scheme = _get_prepend_scheme(add_prefix_space, self.original_tokenizer)
173 |         return pre_tokenizers.Metaspace(replacement=replacement, prepend_scheme=prepend_scheme)
174 | 
175 |     def post_processor(self):
176 |         return None
177 | 
178 |     def decoder(self, replacement, add_prefix_space):
179 |         prepend_scheme = _get_prepend_scheme(add_prefix_space, self.original_tokenizer)
180 |         return decoders.Metaspace(replacement=replacement, prepend_scheme=prepend_scheme)
181 | 
182 |     def converted(self) -> Tokenizer:
183 |         tokenizer = self.tokenizer(self.proto)
184 | 
185 |         # Tokenizer assemble
186 |         normalizer = self.normalizer(self.proto)
187 |         if normalizer is not None:
188 |             tokenizer.normalizer = normalizer
189 | 
190 |         replacement = "▁"
191 |         add_prefix_space = True
192 |         pre_tokenizer = self.pre_tokenizer(replacement, add_prefix_space)
193 |         if pre_tokenizer is not None:
194 |             tokenizer.pre_tokenizer = pre_tokenizer
195 | 
196 |         tokenizer.decoder = self.decoder(replacement, add_prefix_space)
197 |         post_processor = self.post_processor()
198 |         if post_processor:
199 |             tokenizer.post_processor = post_processor
200 | 
201 |         return tokenizer
202 | 
203 | class MarianConverter(SpmConverter):
204 |     def __init__(self, *args, index: int = 0):
205 |         requires_backends(self, "protobuf")
206 | 
207 |         super(SpmConverter, self).__init__(*args)
208 | 
209 |         # from .utils import sentencepiece_model_pb2 as model_pb2
210 |         model_pb2 = import_protobuf()
211 | 
212 |         m = model_pb2.ModelProto()
213 |         print(self.original_tokenizer.spm_files)
214 |         with open(self.original_tokenizer.spm_files[index], "rb") as f:
215 |             m.ParseFromString(f.read())
216 |         self.proto = m
217 |         print(self.original_tokenizer)
218 |         #with open(self.original_tokenizer.vocab_path, "r") as f:
219 |         dir_path = Path(self.original_tokenizer.spm_files[0]).parents[0]
220 |         with open(dir_path / "vocab.json", "r") as f:
221 |             import json
222 |             self._vocab = json.load(f)
223 | 
224 |         if self.proto.trainer_spec.byte_fallback:
225 |             if not getattr(self, "handle_byte_fallback", None):
226 |                 warnings.warn(
227 |                     "The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option"
228 |                     " which is not implemented in the fast tokenizers. In practice this means that the fast version of the"
229 |                     " tokenizer can produce unknown tokens whereas the sentencepiece version would have converted these "
230 |                     "unknown tokens into a sequence of byte tokens matching the original piece of text."
231 |                 )
232 | 
233 |     def vocab(self, proto):
234 |         vocab_size = max(self._vocab.values()) + 1
235 |         vocab = [("<NIL>", -100) for _ in range(vocab_size)]
236 |         for piece in proto.pieces:
237 |             try:
238 |                 index = self._vocab[piece.piece]
239 |             except Exception:
240 |                 print(f"Ignored missing piece {piece.piece}")
241 |             vocab[index] = (piece.piece, piece.score)
242 |         return vocab
243 | 


--------------------------------------------------------------------------------
/py/main.py:
--------------------------------------------------------------------------------
1 | from convert import MarianConverter
2 | from transformers import AutoTokenizer
3 | 
4 | 
5 | tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-zh", use_fast=False)
6 | fast_tokenizer = MarianConverter(tokenizer, index=0).converted()
7 | fast_tokenizer.save(f"tokenizer-marian-base-en.json")
8 | fast_tokenizer = MarianConverter(tokenizer, index=1).converted()
9 | fast_tokenizer.save(f"tokenizer-marian-base-zh.json")


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/src-tauri/.gitignore:
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1 | # Generated by Cargo
2 | # will have compiled files and executables
3 | /target/
4 | 
5 | # Generated by Tauri
6 | # will have schema files for capabilities auto-completion
7 | /gen/schemas
8 | 


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/src-tauri/Cargo.toml:
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 1 | [package]
 2 | name = "peeches"
 3 | version = "0.2.0"
 4 | description = "Real-time system audio whisper and translation"
 5 | authors = ["leon7hao"]
 6 | edition = "2021"
 7 | 
 8 | # See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
 9 | 
10 | [lib]
11 | # The `_lib` suffix may seem redundant but it is necessary
12 | # to make the lib name unique and wouldn't conflict with the bin name.
13 | # This seems to be only an issue on Windows, see https://github.com/rust-lang/cargo/issues/8519
14 | name = "peeches_lib"
15 | crate-type = ["staticlib", "cdylib", "rlib"]
16 | 
17 | [profile.release]
18 | codegen-units = 1
19 | lto = true
20 | opt-level = "s"
21 | panic = "abort"
22 | strip = true
23 | 
24 | [build-dependencies]
25 | tauri-build = { version = "2", features = [] }
26 | 
27 | [target.'cfg(target_os = "macos")'.dependencies]
28 | cidre = { git = "https://github.com/yury/cidre.git", branch = "main", default-features = false, features = [
29 |     "sc",
30 |     "dispatch",
31 |     "av",
32 |     "cv",
33 |     "async",
34 |     "macos_15_0",
35 | ] }
36 | tauri-nspanel = { git = "https://github.com/ahkohd/tauri-nspanel", branch = "v2" }
37 | candle-core = { version = "0.8.2", features = ["metal"] }
38 | candle-transformers = { version = "0.8.2", features = ["metal"] }
39 | candle-nn = { version = "0.8.2", features = ["metal"] }
40 | whisper-rs = { git="https://github.com/Leeeon233/whisper-rs.git", features = ["metal"] }
41 | 
42 | [target.'cfg(target_os = "windows")'.dependencies]
43 | cpal = "^0.15.3"
44 | candle-core = { version = "0.8.2", features = ["cuda"] }
45 | candle-transformers = { version = "0.8.2", features = ["cuda"] }
46 | candle-nn = { version = "0.8.2", features = ["cuda"] }
47 | whisper-rs = { git="https://github.com/Leeeon233/whisper-rs.git",  features = ["cuda"] }
48 | 
49 | [patch.crates-io]
50 | esaxx-rs = { git = "https://github.com/thewh1teagle/esaxx-rs.git", branch = "feat/dynamic-msvc-link" }
51 | 
52 | [dependencies]
53 | tauri = { version = "2", features = [
54 |     "macos-private-api",
55 |     "tray-icon",
56 |     "unstable",
57 | ] }
58 | serde = { version = "1", features = ["derive"] }
59 | serde_json = "1"
60 | tokio = { version = "1", features = ["full"] }
61 | anyhow = "1.0"
62 | ringbuffer = "0.15.0"
63 | # vad-rs = "0.1.5"
64 | samplerate = "0.2.4"
65 | futures = "^0.3"
66 | tokenizers = { version = "0.21" }
67 | tauri-plugin-log = "2"
68 | tauri-plugin-store = "2"
69 | reqwest = { version = "0.11", features = ["json", "stream"] }
70 | futures-util = "0.3"
71 | log = "^0.4"
72 | 
73 | # https://github.com/tazz4843/whisper-rs/blob/master/BUILDING.md
74 | [target.aarch64-apple-darwin]
75 | rustflags = "-lc++ -l framework=Accelerate"
76 | 


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/src-tauri/build.rs:
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1 | fn main() {
2 |     tauri_build::build()
3 | }
4 | 


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/src-tauri/capabilities/default.json:
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 1 | {
 2 |   "$schema": "../gen/schemas/desktop-schema.json",
 3 |   "identifier": "default",
 4 |   "description": "Capability for the main window",
 5 |   "windows": [
 6 |     "main",
 7 |     "settings"
 8 |   ],
 9 |   "permissions": [
10 |     "core:default",
11 |     "core:window:allow-start-dragging",
12 |     "core:window:allow-set-ignore-cursor-events",
13 |     "log:default",
14 |     "store:default"
15 |   ]
16 | }


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/src-tauri/src/audio.rs:
--------------------------------------------------------------------------------
  1 | use std::sync::{
  2 |     atomic::{AtomicUsize, Ordering},
  3 |     mpsc, Arc, Mutex,
  4 | };
  5 | 
  6 | use ringbuffer::{AllocRingBuffer, RingBuffer};
  7 | 
  8 | pub struct AudioOutput {
  9 |     #[cfg(target_os = "macos")]
 10 |     inner: macos::MacAudioOutput,
 11 |     #[cfg(target_os = "windows")]
 12 |     inner: win::WinAudioOutput,
 13 | }
 14 | 
 15 | unsafe impl Send for AudioOutput {}
 16 | unsafe impl Sync for AudioOutput {}
 17 | 
 18 | impl AudioOutput {
 19 |     pub fn new(sender: mpsc::Sender<Vec<f32>>) -> anyhow::Result<Self> {
 20 |         let speech_buf = Arc::new(Mutex::new(AllocRingBuffer::new(16000 * 3)));
 21 |         let counter = Arc::new(AtomicUsize::new(0));
 22 |         let cb = Box::new(move |data| {
 23 |             let mut buf = speech_buf.lock().unwrap();
 24 |             buf.extend(data);
 25 |             counter.fetch_add(1, Ordering::SeqCst);
 26 |             if counter.load(Ordering::SeqCst) > (16000.0 / 320.0 * 0.6) as usize
 27 |                 && buf.len() as f64 > 1.1 * 16000.0
 28 |             {
 29 |                 let samples = buf.to_vec();
 30 |                 drop(buf);
 31 |                 sender.send(samples).unwrap();
 32 |                 counter.store(0, Ordering::SeqCst);
 33 |             }
 34 |         });
 35 |         #[cfg(target_os = "macos")]
 36 |         {
 37 |             Ok(Self {
 38 |                 inner: macos::MacAudioOutput::new(cb),
 39 |             })
 40 |         }
 41 |         #[cfg(target_os = "windows")]
 42 |         {
 43 |             Ok(Self {
 44 |                 inner: win::WinAudioOutput::new(cb)?,
 45 |             })
 46 |         }
 47 |     }
 48 | 
 49 |     pub fn start_recording(&self) -> anyhow::Result<()> {
 50 |         self.inner.start_recording()
 51 |     }
 52 | 
 53 |     pub fn stop_recording(&self) {
 54 |         self.inner.stop_recording()
 55 |     }
 56 | }
 57 | 
 58 | #[cfg(target_os = "windows")]
 59 | mod win {
 60 |     use std::sync::atomic::AtomicBool;
 61 |     use std::sync::atomic::Ordering;
 62 |     use std::sync::Arc;
 63 | 
 64 |     use cpal::traits::DeviceTrait;
 65 |     use cpal::traits::HostTrait;
 66 |     use cpal::traits::StreamTrait;
 67 | 
 68 |     use super::audio_resample;
 69 |     use super::stereo_to_mono;
 70 | 
 71 |     pub struct WinAudioOutput {
 72 |         stream: cpal::Stream,
 73 |     }
 74 | 
 75 |     impl WinAudioOutput {
 76 |         pub fn new(on_data: Box<dyn Fn(Vec<f32>) + Send>) -> anyhow::Result<Self> {
 77 |             let err_fn = move |err| {
 78 |                 eprintln!("an error occurred on stream: {}", err);
 79 |             };
 80 |             let host = cpal::default_host();
 81 |             let device = host.default_output_device().unwrap();
 82 |             let config = device.default_output_config().unwrap();
 83 |             let stream = match config.sample_format() {
 84 |                 cpal::SampleFormat::F32 => device.build_input_stream::<f32, _, _>(
 85 |                     &config.into(),
 86 |                     move |data, _: &_| {
 87 |                         // TODO: assume 2 channels
 88 |                         let mut resampled: Vec<f32> = audio_resample(data, 48000, 16000, 2);
 89 |                         resampled = stereo_to_mono(&resampled).unwrap();
 90 |                         on_data(resampled);
 91 |                     },
 92 |                     err_fn,
 93 |                     None,
 94 |                 )?,
 95 |                 sample_format => {
 96 |                     return Err(anyhow::Error::msg(format!(
 97 |                         "Unsupported sample format '{sample_format}'"
 98 |                     )))
 99 |                 }
100 |             };
101 |             Ok(WinAudioOutput { stream })
102 |         }
103 | 
104 |         pub fn start_recording(&self) -> anyhow::Result<()> {
105 |             self.stream.play()?;
106 | 
107 |             Ok(())
108 |         }
109 | 
110 |         pub fn stop_recording(&self) {
111 |             self.stream.pause();
112 |         }
113 |     }
114 | }
115 | 
116 | pub fn audio_resample(
117 |     data: &[f32],
118 |     sample_rate0: u32,
119 |     sample_rate: u32,
120 |     channels: u16,
121 | ) -> Vec<f32> {
122 |     use samplerate::{convert, ConverterType};
123 |     convert(
124 |         sample_rate0 as _,
125 |         sample_rate as _,
126 |         channels as _,
127 |         ConverterType::SincBestQuality,
128 |         data,
129 |     )
130 |     .unwrap_or_default()
131 | }
132 | 
133 | #[allow(dead_code)]
134 | pub fn stereo_to_mono(stereo_data: &[f32]) -> anyhow::Result<Vec<f32>> {
135 |     let mut mono_data = Vec::with_capacity(stereo_data.len() / 2);
136 | 
137 |     for chunk in stereo_data.chunks_exact(2) {
138 |         let average = (chunk[0] + chunk[1]) / 2.0;
139 |         mono_data.push(average);
140 |     }
141 | 
142 |     Ok(mono_data)
143 | }
144 | 
145 | #[cfg(target_os = "macos")]
146 | mod macos {
147 | 
148 |     use cidre::{
149 |         arc::Retained,
150 |         cm::{self},
151 |         define_obj_type, dispatch, objc,
152 |         sc::{
153 |             self,
154 |             stream::{Output, OutputImpl},
155 |         },
156 |     };
157 |     use futures::executor::block_on;
158 | 
159 |     use super::audio_resample;
160 | 
161 |     struct StreamOutputInner {
162 |         on_data: Box<dyn Fn(Vec<f32>) + Send>,
163 |     }
164 | 
165 |     impl StreamOutputInner {
166 |         fn handle_audio(&mut self, sample_buf: &mut cm::SampleBuf) {
167 |             let audio_buf_list = sample_buf.audio_buf_list::<2>().unwrap();
168 |             let buffer_list = audio_buf_list.list();
169 |             let samples = unsafe {
170 |                 let buffer = buffer_list.buffers[0];
171 |                 std::slice::from_raw_parts(
172 |                     buffer.data as *const f32,
173 |                     buffer.data_bytes_size as usize / std::mem::size_of::<f32>(),
174 |                 )
175 |             };
176 |             let resampled: Vec<f32> = audio_resample(samples, 48000, 16000, 1);
177 |             (self.on_data)(resampled);
178 |         }
179 |     }
180 | 
181 |     define_obj_type!(StreamOutput + OutputImpl, StreamOutputInner, STREAM_OUTPUT);
182 | 
183 |     impl Output for StreamOutput {}
184 |     #[objc::add_methods]
185 |     impl OutputImpl for StreamOutput {
186 |         extern "C" fn impl_stream_did_output_sample_buf(
187 |             &mut self,
188 |             _cmd: Option<&cidre::objc::Sel>,
189 |             _stream: &sc::Stream,
190 |             sample_buf: &mut cm::SampleBuf,
191 |             kind: sc::OutputType,
192 |         ) {
193 |             match kind {
194 |                 sc::OutputType::Screen => {}
195 |                 sc::OutputType::Audio => self.inner_mut().handle_audio(sample_buf),
196 |                 sc::OutputType::Mic => {}
197 |             }
198 |         }
199 |     }
200 | 
201 |     pub struct MacAudioOutput {
202 |         _output: Retained<StreamOutput>,
203 |         stream: Retained<cidre::sc::Stream>,
204 |     }
205 | 
206 |     unsafe impl Send for MacAudioOutput {}
207 |     unsafe impl Sync for MacAudioOutput {}
208 | 
209 |     impl MacAudioOutput {
210 |         pub fn new(on_data: Box<dyn Fn(Vec<f32>) + Send>) -> Self {
211 |             let inner = StreamOutputInner { on_data };
212 |             let delegate = StreamOutput::with(inner);
213 |             let content = block_on(sc::ShareableContent::current()).unwrap();
214 |             let displays = content.displays().clone();
215 |             let display = displays.first().expect("No display found");
216 |             let filter = sc::ContentFilter::with_display_excluding_windows(
217 |                 display,
218 |                 &cidre::ns::Array::new(),
219 |             );
220 | 
221 |             let queue = dispatch::Queue::serial_with_ar_pool();
222 |             let mut cfg = sc::StreamCfg::new();
223 |             cfg.set_captures_audio(true);
224 |             cfg.set_excludes_current_process_audio(false);
225 | 
226 |             let stream = sc::Stream::new(&filter, &cfg);
227 |             stream
228 |                 .add_stream_output(delegate.as_ref(), sc::OutputType::Audio, Some(&queue))
229 |                 .expect("Failed to add stream output");
230 |             Self {
231 |                 _output: delegate,
232 |                 stream,
233 |             }
234 |         }
235 | 
236 |         pub fn start_recording(&self) -> anyhow::Result<()> {
237 |             block_on(self.stream.start())?;
238 |             log::info!("stream started");
239 |             Ok(())
240 |         }
241 | 
242 |         pub fn stop_recording(&self) {
243 |             block_on(self.stream.stop()).unwrap();
244 |         }
245 |     }
246 | }
247 | 


--------------------------------------------------------------------------------
/src-tauri/src/lib.rs:
--------------------------------------------------------------------------------
  1 | use std::collections::HashMap;
  2 | use std::path::PathBuf;
  3 | use std::sync::mpsc;
  4 | use std::{
  5 |     fs,
  6 |     sync::{Arc, Mutex},
  7 | };
  8 | 
  9 | use audio::AudioOutput;
 10 | use serde::{Deserialize, Serialize};
 11 | use tauri::{
 12 |     menu::{Menu, MenuItem},
 13 |     AppHandle, Emitter, Manager, WebviewWindowBuilder,
 14 | };
 15 | use tauri_plugin_store::StoreExt as _;
 16 | use translate::Translator;
 17 | use whisper::Whisper;
 18 | 
 19 | mod audio;
 20 | mod translate;
 21 | mod whisper;
 22 | 
 23 | #[derive(Serialize, Deserialize, Clone)]
 24 | struct ModelInfo {
 25 |     name: String,
 26 |     #[serde(rename = "fileName")]
 27 |     file_name: String,
 28 |     status: String,
 29 | }
 30 | 
 31 | #[derive(Clone)]
 32 | struct AppState {
 33 |     audio_output: Arc<Mutex<AudioOutput>>,
 34 |     whisper: Arc<Mutex<Option<Whisper>>>,
 35 |     translator: Arc<Mutex<Option<Translator>>>,
 36 | }
 37 | 
 38 | impl AppState {
 39 |     pub fn new(app: AppHandle) -> anyhow::Result<Self> {
 40 |         let (audio_sender, audio_receiver) = mpsc::channel();
 41 |         let (transcript_sender, transcript_receiver) = mpsc::channel();
 42 |         let audio_output = AudioOutput::new(audio_sender)?;
 43 |         let whisper = Arc::new(Mutex::new(None::<Whisper>));
 44 |         let whisper_arc = whisper.clone();
 45 |         let translator = Arc::new(Mutex::new(None::<Translator>));
 46 |         let translator_arc = translator.clone();
 47 | 
 48 |         std::thread::spawn(move || {
 49 |             while let Ok(samples) = audio_receiver.recv() {
 50 |                 let mut whisper = whisper_arc.lock().unwrap();
 51 |                 if whisper.is_none() {
 52 |                     continue;
 53 |                 }
 54 |                 let text = whisper.as_mut().unwrap().transcribe(samples).unwrap();
 55 |                 transcript_sender.send(text).unwrap();
 56 |             }
 57 |         });
 58 | 
 59 |         std::thread::spawn(move || {
 60 |             while let Ok(text) = transcript_receiver.recv() {
 61 |                 let mut translator = translator_arc.lock().unwrap();
 62 |                 if translator.is_none() {
 63 |                     continue;
 64 |                 }
 65 |                 let translated_text = translator.as_mut().unwrap().translate(&text).unwrap();
 66 |                 if text == " [BLANK_AUDIO]" {
 67 |                     app.emit(
 68 |                         "event",
 69 |                         Event {
 70 |                             original_text: "BLANK_AUDIO".to_string(),
 71 |                             translated_text: "空白".to_string(),
 72 |                         },
 73 |                     )
 74 |                     .unwrap();
 75 |                     continue;
 76 |                 }
 77 |                 log::debug!("original_text: {}", text);
 78 |                 log::debug!("translated_text: {}", translated_text);
 79 |                 app.emit(
 80 |                     "event",
 81 |                     Event {
 82 |                         original_text: text,
 83 |                         translated_text,
 84 |                     },
 85 |                 )
 86 |                 .unwrap();
 87 |             }
 88 |         });
 89 | 
 90 |         Ok(Self {
 91 |             audio_output: Arc::new(Mutex::new(audio_output)),
 92 |             whisper,
 93 |             translator,
 94 |         })
 95 |     }
 96 | 
 97 |     fn is_ready(&self) -> bool {
 98 |         self.whisper.lock().unwrap().is_some() && self.translator.lock().unwrap().is_some()
 99 |     }
100 | 
101 |     fn set_model(&self, app: &AppHandle, file_name: &str) -> Result<(), String> {
102 |         log::info!("create model: {}", file_name);
103 |         match file_name {
104 |             "ggml-base-q5_1.bin" => {
105 |                 self.whisper
106 |                     .lock()
107 |                     .unwrap()
108 |                     .replace(Self::create_whisper(app, file_name)?);
109 |             }
110 |             "opus-mt-en-zh.bin" => {
111 |                 self.translator
112 |                     .lock()
113 |                     .unwrap()
114 |                     .replace(Self::create_translator(app, file_name)?);
115 |             }
116 |             _ => unreachable!(),
117 |         }
118 |         Ok(())
119 |     }
120 | 
121 |     fn create_whisper(app: &AppHandle, file_name: &str) -> Result<Whisper, String> {
122 |         let model_dir = model_dir(app)?;
123 |         let whisper = Whisper::new(model_dir.join(file_name).to_str().unwrap());
124 |         Ok(whisper)
125 |     }
126 | 
127 |     fn create_translator(app: &AppHandle, file_name: &str) -> Result<Translator, String> {
128 |         let model_dir = model_dir(app)?;
129 |         let (en_token, zh_token) = get_token_path(app);
130 |         Translator::new(
131 |             model_dir.join(file_name).to_str().unwrap(),
132 |             en_token.to_str().unwrap(),
133 |             zh_token.to_str().unwrap(),
134 |         )
135 |         .map_err(|e| e.to_string())
136 |     }
137 | }
138 | 
139 | // Learn more about Tauri commands at https://tauri.app/develop/calling-rust/
140 | #[tauri::command]
141 | fn close_app(app: AppHandle) -> Result<(), String> {
142 |     app.exit(0);
143 |     Ok(())
144 | }
145 | 
146 | #[derive(Serialize, Clone)]
147 | struct Event {
148 |     #[serde(rename = "originalText")]
149 |     original_text: String,
150 |     #[serde(rename = "translatedText")]
151 |     translated_text: String,
152 | }
153 | 
154 | #[derive(Serialize, Clone)]
155 | pub struct DownloadProgress {
156 |     #[serde(rename = "fileName")]
157 |     file_name: String,
158 |     progress: f32,
159 |     total_size: u64,
160 |     downloaded: u64,
161 | }
162 | 
163 | #[tauri::command]
164 | async fn start_recording(
165 |     app: AppHandle,
166 |     state: tauri::State<'_, AppState>,
167 | ) -> Result<bool, String> {
168 |     log::info!("start_recording");
169 |     if !state.is_ready() {
170 |         open_settings(app).await?;
171 |         return Ok(false);
172 |     }
173 |     app.emit(
174 |         "event",
175 |         Event {
176 |             original_text: "wait for audio".to_string(),
177 |             translated_text: "等待音频".to_string(),
178 |         },
179 |     )
180 |     .unwrap();
181 | 
182 |     state
183 |         .audio_output
184 |         .lock()
185 |         .unwrap()
186 |         .start_recording()
187 |         .map_err(|e| e.to_string())?;
188 |     Ok(true)
189 | }
190 | 
191 | #[tauri::command]
192 | fn stop_recording(app: AppHandle, state: tauri::State<'_, AppState>) -> Result<(), String> {
193 |     log::info!("stop_recording");
194 |     state.audio_output.lock().unwrap().stop_recording();
195 |     app.emit(
196 |         "event",
197 |         Event {
198 |             original_text: "已暂停".to_string(),
199 |             translated_text: "".to_string(),
200 |         },
201 |     )
202 |     .unwrap();
203 |     Ok(())
204 | }
205 | 
206 | #[tauri::command]
207 | async fn open_settings(app: AppHandle) -> Result<(), String> {
208 |     // Check if settings window already exists and focus it
209 |     if let Some(settings_window) = app.get_webview_window("settings") {
210 |         settings_window.set_focus().map_err(|e| e.to_string())?;
211 |         Ok(())
212 |     } else {
213 |         let mut builder = WebviewWindowBuilder::new(
214 |             &app,
215 |             "settings",
216 |             tauri::WebviewUrl::App("/#/settings".into()),
217 |         )
218 |         .inner_size(400.0, 300.0)
219 |         .resizable(false)
220 |         .title("Model Download")
221 |         .center();
222 | 
223 |         #[cfg(target_os = "macos")]
224 |         {
225 |             builder = builder
226 |                 .title_bar_style(tauri::TitleBarStyle::Overlay)
227 |                 .hidden_title(true);
228 |         }
229 | 
230 |         let settings = builder.build();
231 |         match settings {
232 |             Ok(_) => Ok(()),
233 |             Err(e) => Err(e.to_string()),
234 |         }
235 |     }
236 | }
237 | 
238 | #[tauri::command]
239 | async fn download_model(
240 |     app: AppHandle,
241 |     url: String,
242 |     file_name: String,
243 |     state: tauri::State<'_, AppState>,
244 | ) -> Result<(), String> {
245 |     let model_dir = model_dir(&app)?;
246 |     let file_path = model_dir.join(&file_name);
247 |     log::info!("download model save to: {}", file_path.to_str().unwrap());
248 |     let mut total_size = 0;
249 |     let mut downloaded = 0;
250 | 
251 |     if file_path.exists() {
252 |         log::info!("model already exists: {}", file_path.to_str().unwrap());
253 |         // TODO: check file md5
254 |     } else {
255 |         // Download the file
256 |         let response = reqwest::get(&url).await.map_err(|e| e.to_string())?;
257 | 
258 |         total_size = response
259 |             .content_length()
260 |             .ok_or_else(|| "Failed to get content length".to_string())?;
261 |         let mut file = fs::File::create(&file_path).map_err(|e| e.to_string())?;
262 |         let mut stream = response.bytes_stream();
263 | 
264 |         use futures_util::StreamExt;
265 |         let mut last_update = std::time::Instant::now();
266 |         while let Some(item) = stream.next().await {
267 |             let chunk = item.map_err(|e| e.to_string())?;
268 |             std::io::copy(&mut chunk.as_ref(), &mut file).map_err(|e| e.to_string())?;
269 |             downloaded += chunk.len() as u64;
270 | 
271 |             // Only update progress every 200ms
272 |             let now = std::time::Instant::now();
273 |             if now.duration_since(last_update).as_millis() >= 200 {
274 |                 let progress = (downloaded as f32 / total_size as f32) * 100.0;
275 |                 log::info!("download progress: {} %", progress);
276 |                 app.emit(
277 |                     "download-progress",
278 |                     DownloadProgress {
279 |                         file_name: file_name.clone(),
280 |                         progress,
281 |                         total_size,
282 |                         downloaded,
283 |                     },
284 |                 )
285 |                 .map_err(|e| e.to_string())?;
286 |                 last_update = now;
287 |             }
288 |         }
289 |     }
290 |     state.set_model(&app, &file_name)?;
291 |     log::debug!("download model: {} completed", file_name);
292 |     app.emit(
293 |         "download-progress",
294 |         DownloadProgress {
295 |             file_name,
296 |             progress: 100.0,
297 |             total_size,
298 |             downloaded,
299 |         },
300 |     )
301 |     .map_err(|e| e.to_string())?;
302 | 
303 |     Ok(())
304 | }
305 | 
306 | fn get_token_path(app: &AppHandle) -> (PathBuf, PathBuf) {
307 |     let resource_dir = app.path().resource_dir().unwrap();
308 |     let model_dir = resource_dir.join("model");
309 |     let en_token = model_dir.join("tokenizer-marian-base-en.json");
310 |     let zh_token = model_dir.join("tokenizer-marian-base-zh.json");
311 |     (en_token, zh_token)
312 | }
313 | 
314 | fn model_dir(app: &AppHandle) -> Result<PathBuf, String> {
315 |     let app_dir = app.path().app_data_dir().map_err(|e| e.to_string())?;
316 |     let model_dir = app_dir.join("model");
317 |     fs::create_dir_all(&model_dir).map_err(|e| e.to_string())?;
318 |     Ok(model_dir)
319 | }
320 | 
321 | #[tauri::command]
322 | async fn show_main_window(window: tauri::Window) {
323 |     window.get_window("main").unwrap().show().unwrap();
324 | }
325 | 
326 | #[cfg_attr(mobile, tauri::mobile_entry_point)]
327 | pub fn run() {
328 |     tauri::Builder::default()
329 |         .plugin(tauri_plugin_log::Builder::new().build())
330 |         .plugin(tauri_plugin_store::Builder::new().build())
331 |         .plugin(
332 |             tauri_plugin_log::Builder::new()
333 |                 .level(log::LevelFilter::Debug)
334 |                 .targets(vec![
335 |                     tauri_plugin_log::Target::new(tauri_plugin_log::TargetKind::Webview),
336 |                     tauri_plugin_log::Target::new(tauri_plugin_log::TargetKind::Stdout),
337 |                     tauri_plugin_log::Target::new(tauri_plugin_log::TargetKind::LogDir {
338 |                         file_name: Some("Peeches".to_string()),
339 |                     })
340 |                     .filter(|meta| {
341 |                         matches!(meta.level(), log::Level::Info)
342 |                             || matches!(meta.level(), log::Level::Error)
343 |                             || matches!(meta.level(), log::Level::Warn)
344 |                     }),
345 |                 ])
346 |                 .build(),
347 |         )
348 |         .setup(|app| {
349 |             if let Some(tray_icon) = app.tray_by_id("tray") {
350 |                 let quit_i = MenuItem::with_id(app, "quit", "Quit", true, None::<&str>)?;
351 |                 let menu = Menu::with_items(app, &[&quit_i])?;
352 |                 tray_icon.set_menu(Some(menu))?;
353 |                 tray_icon.on_menu_event(|app, e| {
354 |                     if e.id() == "quit" {
355 |                         app.exit(0);
356 |                     }
357 |                 });
358 |             }
359 |             // Get the main window
360 |             let window = app.get_webview_window("main").unwrap();
361 |             #[cfg(target_os = "macos")]
362 |             {
363 |                 // Hide dock icon
364 |                 app.set_activation_policy(tauri::ActivationPolicy::Accessory);
365 |             }
366 |             window.set_shadow(false)?;
367 | 
368 |             if let Some(monitor) = window.primary_monitor().unwrap() {
369 |                 window.set_min_size(Some(tauri::Size::Physical(tauri::PhysicalSize {
370 |                     width: 300 * monitor.scale_factor() as u32,
371 |                     height: 120 * monitor.scale_factor() as u32,
372 |                 })))?;
373 |                 let screen_size = monitor.size();
374 |                 // Calculate window width (60% of screen width)
375 |                 let window_width = (screen_size.width as f64 * 0.4) as u32;
376 | 
377 |                 // Calculate x position to center window
378 |                 let x = (screen_size.width - window_width) / 2;
379 | 
380 |                 // Set window position at bottom center
381 |                 // Leave 20px margin from bottom
382 |                 let y = screen_size.height - (320_f64 * monitor.scale_factor()) as u32;
383 |                 // Update window size and position
384 |                 window
385 |                     .set_size(tauri::Size::Physical(tauri::PhysicalSize {
386 |                         width: window_width,
387 |                         height: (148_f64 * monitor.scale_factor()) as u32,
388 |                     }))
389 |                     .unwrap();
390 | 
391 |                 window
392 |                     .set_position(tauri::Position::Physical(tauri::PhysicalPosition {
393 |                         x: x as i32,
394 |                         y: y as i32,
395 |                     }))
396 |                     .unwrap();
397 |             }
398 | 
399 |             let app_state = AppState::new(app.handle().clone())?;
400 | 
401 |             let model_dir = model_dir(app.handle())?;
402 | 
403 |             // Get model store state
404 |             let store = app.store("models.dat")?;
405 |             let models = store
406 |                 .get("models")
407 |                 .unwrap_or(serde_json::Value::Array(vec![]));
408 |             let mut models: HashMap<String, ModelInfo> =
409 |                 serde_json::from_value(models).unwrap_or_default();
410 | 
411 |             if let Some(info) = models.get("ggml-base-q5_1.bin") {
412 |                 let model_path = model_dir.join(&info.file_name);
413 |                 if info.status == "completed" && model_path.exists() {
414 |                     let whisper = Whisper::new(model_path.to_str().unwrap());
415 |                     app_state.whisper.lock().unwrap().replace(whisper);
416 |                 } else {
417 |                     models.remove("ggml-base-q5_1.bin");
418 |                     store.set("models", serde_json::to_value(&models).unwrap());
419 |                 }
420 |             };
421 | 
422 |             if let Some(info) = models.get("opus-mt-en-zh.bin") {
423 |                 let model_path = model_dir.join(&info.file_name);
424 |                 if info.status == "completed" && model_path.exists() {
425 |                     let (en_token, zh_token) = get_token_path(app.handle());
426 |                     let translator = Translator::new(
427 |                         model_path.to_str().unwrap(),
428 |                         en_token.to_str().unwrap(),
429 |                         zh_token.to_str().unwrap(),
430 |                     )?;
431 |                     app_state.translator.lock().unwrap().replace(translator);
432 |                 } else {
433 |                     models.remove("opus-mt-en-zh.bin");
434 |                     store.set("models", serde_json::to_value(&models).unwrap());
435 |                 }
436 |             };
437 |             app.manage(app_state);
438 |             Ok(())
439 |         })
440 |         .invoke_handler(tauri::generate_handler![
441 |             close_app,
442 |             start_recording,
443 |             stop_recording,
444 |             open_settings,
445 |             download_model,
446 |             show_main_window
447 |         ])
448 |         .run(tauri::generate_context!())
449 |         .expect("error while running tauri application");
450 | }
451 | 


--------------------------------------------------------------------------------
/src-tauri/src/main.rs:
--------------------------------------------------------------------------------
1 | // Prevents additional console window on Windows in release, DO NOT REMOVE!!
2 | #![cfg_attr(not(debug_assertions), windows_subsystem = "windows")]
3 | 
4 | fn main() {
5 |     peeches_lib::run()
6 | }
7 | 


--------------------------------------------------------------------------------
/src-tauri/src/translate.rs:
--------------------------------------------------------------------------------
  1 | use anyhow::Error as E;
  2 | use candle_core::{DType, Tensor};
  3 | use candle_nn::VarBuilder;
  4 | use candle_transformers::models::marian::{self, MTModel};
  5 | use tokenizers::Tokenizer;
  6 | 
  7 | pub struct Translator {
  8 |     model: MTModel,
  9 |     config: marian::Config,
 10 |     tokenizer: Tokenizer,
 11 |     tokenizer_dec: Tokenizer,
 12 |     device: candle_core::Device,
 13 | }
 14 | 
 15 | impl Translator {
 16 |     pub fn new(model: &str, en_token: &str, zh_token: &str) -> anyhow::Result<Self> {
 17 |         let tokenizer = Tokenizer::from_file(en_token).map_err(E::msg)?;
 18 |         let tokenizer_dec = Tokenizer::from_file(zh_token).map_err(E::msg)?;
 19 |         // let tokenizer_dec = TokenOutputStream::new(tokenizer_dec);
 20 |         let device = if cfg!(target_os = "macos") {
 21 |             candle_core::Device::new_metal(0)?
 22 |         } else {
 23 |             candle_core::Device::new_cuda(0)?
 24 |         };
 25 |         let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[&model], DType::F32, &device)? };
 26 |         // https://huggingface.co/Helsinki-NLP/opus-mt-en-zh/blob/main/config.json
 27 |         let config = marian::Config {
 28 |             vocab_size: 65001,
 29 |             decoder_vocab_size: Some(65001),
 30 |             max_position_embeddings: 512,
 31 |             encoder_layers: 6,
 32 |             encoder_ffn_dim: 2048,
 33 |             encoder_attention_heads: 8,
 34 |             decoder_layers: 6,
 35 |             decoder_ffn_dim: 2048,
 36 |             decoder_attention_heads: 8,
 37 |             use_cache: true,
 38 |             is_encoder_decoder: true,
 39 |             activation_function: candle_nn::Activation::Swish,
 40 |             d_model: 512,
 41 |             decoder_start_token_id: 65000,
 42 |             scale_embedding: true,
 43 |             pad_token_id: 65000,
 44 |             eos_token_id: 0,
 45 |             forced_eos_token_id: 0,
 46 |             share_encoder_decoder_embeddings: true,
 47 |         };
 48 |         let model = marian::MTModel::new(&config, vb)?;
 49 |         Ok(Self {
 50 |             model,
 51 |             config,
 52 |             tokenizer,
 53 |             tokenizer_dec,
 54 |             device,
 55 |         })
 56 |     }
 57 | 
 58 |     pub fn translate(&mut self, text: &str) -> anyhow::Result<String> {
 59 |         let mut logits_processor =
 60 |             candle_transformers::generation::LogitsProcessor::new(1337, None, None);
 61 |         let encoder_xs = {
 62 |             let mut tokens = self
 63 |                 .tokenizer
 64 |                 .encode(text, true)
 65 |                 .map_err(E::msg)?
 66 |                 .get_ids()
 67 |                 .to_vec();
 68 |             tokens.push(self.config.eos_token_id);
 69 |             let tokens = Tensor::new(tokens.as_slice(), &self.device)?.unsqueeze(0)?;
 70 |             self.model.encoder().forward(&tokens, 0)?
 71 |         };
 72 |         let mut token_ids = vec![self.config.decoder_start_token_id];
 73 |         for index in 0..1000 {
 74 |             let context_size = if index >= 1 { 1 } else { token_ids.len() };
 75 |             let start_pos = token_ids.len().saturating_sub(context_size);
 76 |             let input_ids = Tensor::new(&token_ids[start_pos..], &self.device)?.unsqueeze(0)?;
 77 |             let logits = self.model.decode(&input_ids, &encoder_xs, start_pos)?;
 78 |             let logits = logits.squeeze(0)?;
 79 |             let logits = logits.get(logits.dim(0)? - 1)?;
 80 |             let token = logits_processor.sample(&logits)?;
 81 |             if token == self.config.eos_token_id || token == self.config.forced_eos_token_id {
 82 |                 break;
 83 |             }
 84 |             token_ids.push(token);
 85 |             // if let Some(t) = self.tokenizer_dec.next_token(token)? {
 86 |             //     ans.push_str(&t);
 87 |             // }
 88 |         }
 89 |         // if let Some(rest) = self.tokenizer_dec.decode_rest().map_err(E::msg)? {
 90 |         //     ans.push_str(&rest);
 91 |         // }
 92 |         let ans = self
 93 |             .tokenizer_dec
 94 |             .decode(&token_ids[1..], true)
 95 |             .map_err(E::msg)?;
 96 |         self.model.reset_kv_cache();
 97 |         Ok(ans)
 98 |     }
 99 | }
100 | 


--------------------------------------------------------------------------------
/src-tauri/src/whisper.rs:
--------------------------------------------------------------------------------
 1 | // https://github.com/thewh1teagle/vad-rs/blob/main/examples/whisper/src/main.rs
 2 | 
 3 | use whisper_rs::{
 4 |     FullParams, SamplingStrategy, WhisperContext, WhisperContextParameters, WhisperState,
 5 | };
 6 | 
 7 | pub struct Whisper {
 8 |     // vad: Arc<Mutex<Vad>>,
 9 |     whisper_ctx: WhisperState,
10 |     // normalizer: Arc<Mutex<Normalizer>>,
11 | }
12 | 
13 | impl Whisper {
14 |     pub fn new(whisper_model_path: &str) -> Self {
15 |         // let vad = Vad::new(vad_model_path, 16000).unwrap();
16 |         // let normalizer = Normalizer::new(1, 16000);
17 |         let ctx = WhisperContext::new_with_params(
18 |             whisper_model_path,
19 |             WhisperContextParameters {
20 |                 use_gpu: true,
21 |                 flash_attn: false,
22 |                 ..Default::default()
23 |             },
24 |         )
25 |         .unwrap();
26 |         let state = ctx.create_state().expect("failed to create key");
27 | 
28 |         Self {
29 |             // vad: Arc::new(Mutex::new(vad)),
30 |             whisper_ctx: state,
31 |             // params: Arc::new(Mutex::new(params)),
32 |             // normalizer: Arc::new(Mutex::new(normalizer)),
33 |         }
34 |     }
35 | 
36 |     pub fn transcribe(&mut self, samples: Vec<f32>) -> anyhow::Result<String> {
37 |         let mut params = FullParams::new(SamplingStrategy::default());
38 |         params.set_print_progress(false);
39 |         params.set_print_realtime(false);
40 |         params.set_print_special(false);
41 |         params.set_print_timestamps(false);
42 |         params.set_debug_mode(false);
43 |         params.set_language(Some("en"));
44 |         // params.set_duration_ms(3000);
45 |         params.set_logprob_thold(-2.0);
46 |         params.set_temperature(0.0);
47 |         self.whisper_ctx.full(params, &samples)?;
48 |         let text = self.whisper_ctx.full_get_segment_text_lossy(0)?;
49 |         Ok(text)
50 |     }
51 | }
52 | 


--------------------------------------------------------------------------------
/src-tauri/tauri.conf.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "$schema": "https://schema.tauri.app/config/2",
 3 |   "productName": "Peeches",
 4 |   "version": "0.2.0",
 5 |   "identifier": "Peeches",
 6 |   "build": {
 7 |     "beforeDevCommand": "pnpm dev",
 8 |     "devUrl": "http://localhost:1420",
 9 |     "beforeBuildCommand": "pnpm build",
10 |     "frontendDist": "../dist"
11 |   },
12 |   "app": {
13 |     "macOSPrivateApi": true,
14 |     "windows": [
15 |       {
16 |         "fullscreen": false,
17 |         "resizable": true,
18 |         "transparent": true,
19 |         "alwaysOnTop": true,
20 |         "decorations": false,
21 |         "acceptFirstMouse": true,
22 |         "visible": false
23 |       }
24 |     ],
25 |     "security": {
26 |       "capabilities": [
27 |         "default"
28 |       ],
29 |       "csp": null
30 |     },
31 |     "trayIcon": {
32 |       "iconAsTemplate": false,
33 |       "iconPath": "./icons/icon-template.png",
34 |       "id": "tray"
35 |     }
36 |   },
37 |   "bundle": {
38 |     "active": true,
39 |     "targets": "all",
40 |     "icon": [
41 |       "icons/32x32.png",
42 |       "icons/128x128.png",
43 |       "icons/128x128@2x.png",
44 |       "icons/icon.icns",
45 |       "icons/icon.ico"
46 |     ],
47 |     "resources": [
48 |       "model/*"
49 |     ]
50 |   }
51 | }


--------------------------------------------------------------------------------
/src/App.css:
--------------------------------------------------------------------------------
  1 | :root {
  2 |   font-family: "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", sans-serif;
  3 |   font-size: 16px;
  4 |   line-height: 24px;
  5 |   font-weight: 400;
  6 | 
  7 |   font-synthesis: none;
  8 |   text-rendering: optimizeLegibility;
  9 |   -webkit-font-smoothing: antialiased;
 10 |   -moz-osx-font-smoothing: grayscale;
 11 |   -webkit-text-size-adjust: 100%;
 12 | }
 13 | 
 14 | body {
 15 |   margin: 0;
 16 |   padding: 0;
 17 |   background: transparent !important;
 18 |   overflow: hidden;
 19 | }
 20 | 
 21 | a {
 22 |   font-weight: 500;
 23 |   color: #646cff;
 24 |   text-decoration: inherit;
 25 | }
 26 | 
 27 | a:hover {
 28 |   color: #535bf2;
 29 | }
 30 | 
 31 | h1 {
 32 |   text-align: center;
 33 | }
 34 | 
 35 | input,
 36 | button {
 37 |   border-radius: 8px;
 38 |   border: 1px solid transparent;
 39 |   padding: 0.6em 1.2em;
 40 |   font-size: 1em;
 41 |   font-weight: 500;
 42 |   font-family: inherit;
 43 |   color: #0f0f0f;
 44 |   background-color: #ffffff;
 45 |   transition: border-color 0.25s;
 46 |   box-shadow: 0 2px 2px rgba(0, 0, 0, 0.2);
 47 | }
 48 | 
 49 | button {
 50 |   cursor: pointer;
 51 | }
 52 | 
 53 | button:hover {
 54 |   border-color: #396cd8;
 55 | }
 56 | button:active {
 57 |   border-color: #396cd8;
 58 |   background-color: #e8e8e8;
 59 | }
 60 | 
 61 | input,
 62 | button {
 63 |   outline: none;
 64 | }
 65 | 
 66 | #greet-input {
 67 |   margin-right: 5px;
 68 | }
 69 | 
 70 | .translation-container {
 71 |   display: flex;
 72 |   flex-direction: column;
 73 |   align-items: center;
 74 |   justify-content: center;
 75 |   min-height: 100vh;
 76 |   background: transparent;
 77 |   cursor: move;
 78 |   user-select: none;
 79 |   margin: 8px;
 80 |   -webkit-user-select: none;
 81 | }
 82 | 
 83 | .text-display {
 84 |   width: 100%;
 85 |   /* padding: 2rem; */
 86 |   /* max-width: 800px; */
 87 |   background: transparent;
 88 |   display: flex;
 89 |   flex-direction: column;
 90 |   gap: 0.5rem;
 91 |   transition: all 0.3s ease;
 92 |   position: relative;
 93 |   background: rgba(0, 0, 0, 0.1);
 94 |   border-radius: 12px;
 95 | }
 96 | 
 97 | .text-display.show-hover-bg {
 98 |   background: rgba(0, 0, 0, 0.3);
 99 |   backdrop-filter: blur(8px);
100 |   border-radius: 12px;
101 |   margin: 0;
102 |   padding: 8px;
103 | }
104 | 
105 | .original-text,
106 | .translated-text {
107 |   font-size: 24px;
108 |   line-height: 1.5;
109 |   padding: 0.5rem;
110 |   text-align: center;
111 |   background: transparent;
112 |   text-shadow: 0 2px 4px rgba(0, 0, 0, 0.5);
113 |   transition: all 0.3s ease;
114 |   opacity: 0.8;
115 | }
116 | 
117 | .text-display.show-hover-bg .original-text,
118 | .text-display.show-hover-bg .translated-text {
119 |   opacity: 1;
120 | }
121 | 
122 | .original-text {
123 |   color: #FFFFFF;
124 |   font-weight: 500;
125 | }
126 | 
127 | .translated-text {
128 |   color: #00FFBB;
129 |   font-weight: 400;
130 | }
131 | 
132 | /* Add some basic animations */
133 | /* .original-text,
134 | .translated-text {
135 |   transition: all 0.3s ease;
136 | } */
137 | 
138 | .original-text:empty,
139 | .translated-text:empty {
140 |   opacity: 0.5;
141 | }
142 | 
143 | .button-group {
144 |   position: absolute;
145 |   top: 0.5rem;
146 |   right: 1.5rem;
147 |   display: flex;
148 |   gap: 0.5rem;
149 |   opacity: 0;
150 |   transition: opacity 0.3s ease;
151 |   pointer-events: none;
152 |   z-index: 10;
153 | }
154 | 
155 | .text-display.show-buttons .button-group {
156 |   opacity: 1;
157 |   pointer-events: all;
158 | }
159 | 
160 | .button-group button {
161 |   width: 32px;
162 |   height: 32px;
163 |   padding: 0;
164 |   display: flex;
165 |   align-items: center;
166 |   justify-content: center;
167 |   border-radius: 50%;
168 |   background: rgba(0, 0, 0, 0.6);
169 |   border: none;
170 |   color: white;
171 |   cursor: pointer;
172 |   font-size: 16px;
173 |   transition: all 0.2s ease;
174 | }
175 | 
176 | .button-group button:hover {
177 |   background: rgba(0, 0, 0, 0.8);
178 |   /* transform: scale(1.1); */
179 | }
180 | 
181 | .button-group .pin-button.active {
182 |   background: rgba(0, 150, 255, 0.8);
183 | }
184 | 
185 | .button-group .close-button:hover {
186 |   background: rgba(255, 0, 0, 0.8);
187 | }
188 | 
189 | .settings-button {
190 |   background: none;
191 |   border: none;
192 |   color: #666;
193 |   cursor: pointer;
194 |   padding: 4px;
195 |   border-radius: 4px;
196 |   display: flex;
197 |   align-items: center;
198 |   justify-content: center;
199 |   transition: background-color 0.3s;
200 | }
201 | 
202 | .settings-button:hover {
203 |   background-color: rgba(0, 0, 0, 0.1);
204 | }
205 | 
206 | .settings-overlay {
207 |   position: fixed;
208 |   top: 0;
209 |   left: 0;
210 |   right: 0;
211 |   bottom: 0;
212 |   background: rgba(0, 0, 0, 0.5);
213 |   display: flex;
214 |   align-items: center;
215 |   justify-content: center;
216 |   z-index: 1000;
217 |   animation: fade-in 0.3s ease;
218 | }
219 | 
220 | .settings-modal {
221 |   background: white;
222 |   border-radius: 8px;
223 |   box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15);
224 |   animation: slide-up 0.3s ease;
225 | }
226 | 
227 | @keyframes fade-in {
228 |   from {
229 |     opacity: 0;
230 |   }
231 |   to {
232 |     opacity: 1;
233 |   }
234 | }
235 | 
236 | @keyframes slide-up {
237 |   from {
238 |     transform: translateY(20px);
239 |     opacity: 0;
240 |   }
241 |   to {
242 |     transform: translateY(0);
243 |     opacity: 1;
244 |   }
245 | }
246 | 


--------------------------------------------------------------------------------
/src/App.tsx:
--------------------------------------------------------------------------------
 1 | import {  Route, Routes } from "react-router-dom";
 2 | import "./App.css";
 3 | import Lyrics from "./components/Lyrics";
 4 | import Settings from "./components/Settings";
 5 | 
 6 | function App() {
 7 |   return (
 8 |     <Routes>
 9 |       <Route path="/" element={<Lyrics />} />
10 |       <Route path="/settings" element={<Settings />} />
11 |     </Routes>
12 |   );
13 | }
14 | 
15 | export default App;
16 | 
17 | 


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/src/assets/react.svg:
--------------------------------------------------------------------------------
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/src/components/Lyrics.tsx:
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  1 | import { useState, useEffect } from "react";
  2 | import { listen } from "@tauri-apps/api/event";
  3 | import { invoke } from "@tauri-apps/api/core";
  4 | import { Pause, Pin, PinOff, Play, Settings, X } from "lucide-react";
  5 | 
  6 | type Event = {
  7 |   originalText: string;
  8 |   translatedText: string;
  9 | };
 10 | 
 11 | function Lyrics() {
 12 |   const [originalText, setOriginalText] = useState("");
 13 |   const [translatedText, setTranslatedText] = useState("");
 14 |   const [isPinned, setIsPinned] = useState(false);
 15 |   const [isHovered, setIsHovered] = useState(false);
 16 |   const [isRecording, setIsRecording] = useState(false);
 17 | 
 18 |   useEffect(() => {
 19 |     invoke("show_main_window");
 20 |     const unlisten = listen<Event>("event", (event) => {
 21 |       const { originalText, translatedText } = event.payload;
 22 |       setOriginalText(originalText);
 23 |       setTranslatedText(translatedText);
 24 |     });
 25 | 
 26 |     return () => {
 27 |       unlisten.then((f) => f());
 28 |     };
 29 |   }, []);
 30 | 
 31 |   const handlePin = async () => {
 32 |     setIsPinned(!isPinned);
 33 |   };
 34 | 
 35 |   const handleRecording = async () => {
 36 |     if (isRecording) {
 37 |       await invoke("stop_recording");
 38 |       setOriginalText("");
 39 |       setTranslatedText("");
 40 |       setIsRecording(false);
 41 |     } else {
 42 |       if (await invoke("start_recording")) {
 43 |         setIsRecording(true);
 44 |       }
 45 |     }
 46 |   };
 47 | 
 48 |   const handleMouseEnter = () => {
 49 |     setIsHovered(true);
 50 |   };
 51 | 
 52 |   const handleMouseLeave = () => {
 53 |     setIsHovered(false);
 54 |   };
 55 | 
 56 |   // 计算 CSS 类名
 57 |   const textDisplayClasses = [
 58 |     "text-display",
 59 |     // 只在非固定状态下显示悬停背景
 60 |     !isPinned && isHovered ? "show-hover-bg" : "",
 61 |     // 只在鼠标悬停时显示按钮组
 62 |     isHovered ? "show-buttons" : "",
 63 |   ]
 64 |     .filter(Boolean)
 65 |     .join(" ");
 66 | 
 67 |   return (
 68 |     <div
 69 |       className="translation-container"
 70 |       // Only allow drag when not pinned
 71 |       {...(!isPinned && { "data-tauri-drag-region": true })}
 72 |     >
 73 |       <div
 74 |         className={textDisplayClasses}
 75 |         // Only allow drag when not pinned
 76 |         {...(!isPinned && { "data-tauri-drag-region": true })}
 77 |         onMouseEnter={handleMouseEnter}
 78 |         onMouseLeave={handleMouseLeave}
 79 |       >
 80 |         <div
 81 |           className="button-group"
 82 |           onMouseEnter={(e) => {
 83 |             e.stopPropagation();
 84 |             setIsHovered(true);
 85 |           }}
 86 |           onMouseLeave={(e) => {
 87 |             e.stopPropagation();
 88 |             setIsHovered(false);
 89 |           }}
 90 |         >
 91 |           <button
 92 |             className={`pin-button ${isPinned ? "active" : ""}`}
 93 |             onClick={() => {
 94 |               handlePin();
 95 |             }}
 96 |             title={isPinned ? "取消固定" : "固定窗口"}
 97 |           >
 98 |             {isPinned ? <PinOff size={16} /> : <Pin size={16} />}
 99 |           </button>
100 |           <button
101 |             onClick={handleRecording}
102 |             title={isRecording ? "停止录制" : "开始录制"}
103 |             className={`record-button ${isRecording ? "recording" : ""}`}
104 |           >
105 |             {isRecording ? <Pause size={16} /> : <Play size={16} />}
106 |           </button>
107 |           <button
108 |             onClick={() => {
109 |               invoke("open_settings");
110 |             }}
111 |             title="设置"
112 |           >
113 |             <Settings size={16} />
114 |           </button>
115 |           <button
116 |             className="close-button"
117 |             onClick={() => {
118 |               invoke("close_app");
119 |             }}
120 |             title="关闭应用"
121 |           >
122 |             <X size={16} />
123 |           </button>
124 |         </div>
125 |         <div
126 |           className="original-text"
127 |           {...(!isPinned && { "data-tauri-drag-region": true })}
128 |         >
129 |           {originalText || "等待输入..."}
130 |         </div>
131 |         <div
132 |           className="translated-text"
133 |           {...(!isPinned && { "data-tauri-drag-region": true })}
134 |         >
135 |           {translatedText || "等待翻译..."}
136 |         </div>
137 |       </div>
138 |     </div>
139 |   );
140 | }
141 | 
142 | export default Lyrics;
143 | 


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/src/components/Settings.css:
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  1 | .settings-container {
  2 |   width: 400px;
  3 |   height: 300px;
  4 |   padding-top: 24px;
  5 |   background: rgba(15, 15, 15, 0.95);
  6 |   border-radius: 8px;
  7 |   box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3);
  8 |   overflow-y: auto;
  9 | }
 10 | 
 11 | .model-item {
 12 |   margin: 24px 16px;
 13 |   padding: 16px;
 14 |   border: 1px solid rgba(255, 255, 255, 0.1);
 15 |   border-radius: 6px;
 16 |   display: flex;
 17 |   justify-content: space-between;
 18 |   align-items: center;
 19 |   background: rgba(30, 30, 30, 0.5);
 20 | }
 21 | 
 22 | .model-info {
 23 |   flex: 1;
 24 |   margin-right: 16px;
 25 | }
 26 | 
 27 | .model-info h3 {
 28 |   margin: 0;
 29 |   font-size: 16px;
 30 |   color: #ffffff;
 31 | }
 32 | 
 33 | .model-description {
 34 |   margin: 4px 0;
 35 |   font-size: 14px;
 36 |   color: rgba(255, 255, 255, 0.7);
 37 | }
 38 | 
 39 | .error-message {
 40 |   color: #ff6b6b;
 41 |   font-size: 12px;
 42 |   margin: 4px 0 0;
 43 | }
 44 | 
 45 | .download-section {
 46 |   min-width: 80px;
 47 |   height: 32px;
 48 |   display: flex;
 49 |   align-items: center;
 50 |   justify-content: center;
 51 | }
 52 | 
 53 | .download-button {
 54 |   width: 100%;
 55 |   height: 100%;
 56 |   padding: 6px 16px;
 57 |   background: #646cff;
 58 |   color: white;
 59 |   border: none;
 60 |   border-radius: 4px;
 61 |   cursor: pointer;
 62 |   transition: background 0.3s;
 63 |   text-align: center;
 64 |   display: flex;
 65 |   align-items: center;
 66 |   justify-content: center;
 67 | }
 68 | 
 69 | .download-button:hover {
 70 |   background: #535bf2;
 71 | }
 72 | 
 73 | .progress-wrapper {
 74 |   width: 100%;
 75 |   height: 100%;
 76 |   display: flex;
 77 |   flex-direction: column;
 78 |   align-items: center;
 79 |   justify-content: center;
 80 |   position: relative;
 81 | }
 82 | 
 83 | .progress-container {
 84 |   width: 100%;
 85 |   height: 4px;
 86 |   background: rgba(255, 255, 255, 0.1);
 87 |   border-radius: 2px;
 88 |   overflow: visible;
 89 | }
 90 | 
 91 | .progress-bar {
 92 |   height: 100%;
 93 |   background: #646cff;
 94 |   transition: width 0.3s ease;
 95 | }
 96 | 
 97 | .progress-text {
 98 |   font-size: 12px;
 99 |   color: rgba(255, 255, 255, 0.7);
100 |   white-space: nowrap;
101 | }
102 | 
103 | .check-mark {
104 |   color: #00FFBB;
105 |   font-size: 24px;
106 |   animation: scale-in 0.3s ease;
107 | }
108 | 
109 | @keyframes scale-in {
110 |   0% {
111 |     transform: scale(0);
112 |     opacity: 0;
113 |   }
114 |   100% {
115 |     transform: scale(1);
116 |     opacity: 1;
117 |   }
118 | } 


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/src/components/Settings.tsx:
--------------------------------------------------------------------------------
  1 | import { useState, useEffect } from "react";
  2 | import { invoke } from "@tauri-apps/api/core";
  3 | import { listen } from "@tauri-apps/api/event";
  4 | import "./Settings.css";
  5 | import { Store } from "@tauri-apps/plugin-store";
  6 | import { error as logError } from "@tauri-apps/plugin-log";
  7 | 
  8 | interface ModelInfo {
  9 |   name: string;
 10 |   fileName: string;
 11 |   description: string;
 12 |   status: "idle" | "downloading" | "completed" | "error";
 13 |   url: string;
 14 |   progress: number;
 15 |   error?: string;
 16 | }
 17 | 
 18 | type ModelsRecord = Record<string, ModelInfo>;
 19 | 
 20 | const defaultModels: ModelsRecord = {
 21 |   "ggml-base-q5_1.bin": {
 22 |     name: "转录模型",
 23 |     fileName: "ggml-base-q5_1.bin",
 24 |     description: "whisper ggml base-q5_1",
 25 |     status: "idle",
 26 |     progress: 0,
 27 |     url: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base-q5_1.bin",
 28 |   },
 29 |   "opus-mt-en-zh.bin": {
 30 |     name: "翻译模型",
 31 |     fileName: "opus-mt-en-zh.bin",
 32 |     description: "opus-mt-en-zh",
 33 |     status: "idle",
 34 |     progress: 0,
 35 |     url: "https://huggingface.co/Helsinki-NLP/opus-mt-en-zh/resolve/refs%2Fpr%2F26/model.safetensors",
 36 |   },
 37 | };
 38 | 
 39 | function Settings() {
 40 |   const [models, setModels] = useState<ModelsRecord>({});
 41 | 
 42 |   const listenDownloadProgress = async () => {
 43 |     const store = await Store.load("models.dat");
 44 |     await listen("download-progress", async (event: any) => {
 45 |       const { progress, fileName } = event.payload;
 46 |       console.log("progress: ", progress, "fileName: ", fileName);
 47 |       setModels((prev) => {
 48 |         const newModels = { ...prev };
 49 |         newModels[fileName] = { ...newModels[fileName], progress };
 50 |         if (progress === 100) {
 51 |           newModels[fileName] = {
 52 |             ...newModels[fileName],
 53 |             status: "completed",
 54 |           };
 55 |           store.set("models", newModels);
 56 |         }
 57 |         return newModels;
 58 |       });
 59 |     });
 60 |   };
 61 | 
 62 |   useEffect(() => {
 63 |     let needUpdate = false;
 64 |     Store.load("models.dat").then((store) => {
 65 |       store.get<ModelsRecord>("models").then((value) => {
 66 |         if (value) {
 67 |           Object.values(value).forEach((model) => {
 68 |             if (model.status !== "completed") {
 69 |               needUpdate = true;
 70 |             }
 71 |           });
 72 |           if (needUpdate) {
 73 |             listenDownloadProgress();
 74 |           }
 75 |           setModels({ ...defaultModels, ...value });
 76 |         } else {
 77 |           setModels(defaultModels);
 78 |           listenDownloadProgress();
 79 |         }
 80 |       });
 81 |     });
 82 |   }, []);
 83 | 
 84 |   const handleDownload = async (fileName: string) => {
 85 |     try {
 86 |       setModels((prev) => ({
 87 |         ...prev,
 88 |         [fileName]: {
 89 |           ...prev[fileName],
 90 |           status: "downloading",
 91 |           progress: 0,
 92 |           error: undefined,
 93 |         },
 94 |       }));
 95 | 
 96 |       // Start the download
 97 |       await invoke("download_model", { url: models[fileName].url, fileName });
 98 |     } catch (error) {
 99 |       logError(`Download error: ${error}`);
100 |       setModels((prev) => ({
101 |         ...prev,
102 |         [fileName]: {
103 |           ...prev[fileName],
104 |           status: "error",
105 |           error: "下载失败，请重试",
106 |         },
107 |       }));
108 |     }
109 |   };
110 | 
111 |   return (
112 |     <div className="settings-container">
113 |       {Object.values(models).map((model) => (
114 |         <div key={model.fileName} className="model-item">
115 |           <div className="model-info">
116 |             <h3>{model.name}</h3>
117 |             <p className="model-description">{model.description}</p>
118 |             {model.error && <p className="error-message">{model.error}</p>}
119 |           </div>
120 |           <div className="download-section">
121 |             {(model.status === "idle" || model.status === "error") && (
122 |               <button
123 |                 className="download-button"
124 |                 onClick={() => handleDownload(model.fileName)}
125 |               >
126 |                 下载
127 |               </button>
128 |             )}
129 |             {model.status === "downloading" && (
130 |               <div
131 |                 style={{
132 |                   width: "100%",
133 |                   display: "flex",
134 |                   flexDirection: "column",
135 |                   gap: "4px",
136 |                   alignItems: "center",
137 |                   justifyContent: "center",
138 |                 }}
139 |               >
140 |                 <div className="progress-container">
141 |                   <div
142 |                     className="progress-bar"
143 |                     style={{ width: `${model.progress}%` }}
144 |                   ></div>
145 |                 </div>
146 |                 <span className="progress-text">
147 |                   {model.progress.toFixed(2)}%
148 |                 </span>
149 |               </div>
150 |             )}
151 |             {model.status === "completed" && (
152 |               <div className="check-mark">✓</div>
153 |             )}
154 |           </div>
155 |         </div>
156 |       ))}
157 |     </div>
158 |   );
159 | }
160 | 
161 | export default Settings;
162 | 


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/src/main.tsx:
--------------------------------------------------------------------------------
 1 | import React from "react";
 2 | import ReactDOM from "react-dom/client";
 3 | import { HashRouter } from "react-router-dom";
 4 | import App from "./App";
 5 | 
 6 | ReactDOM.createRoot(document.getElementById("root") as HTMLElement).render(
 7 |   <React.StrictMode>
 8 |     <HashRouter>
 9 |       <App />
10 |     </HashRouter>
11 |   </React.StrictMode>
12 | );
13 | 


--------------------------------------------------------------------------------
/src/vite-env.d.ts:
--------------------------------------------------------------------------------
1 | /// <reference types="vite/client" />
2 | 


--------------------------------------------------------------------------------
/tsconfig.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "compilerOptions": {
 3 |     "target": "ES2020",
 4 |     "useDefineForClassFields": true,
 5 |     "lib": ["ES2020", "DOM", "DOM.Iterable"],
 6 |     "module": "ESNext",
 7 |     "skipLibCheck": true,
 8 | 
 9 |     /* Bundler mode */
10 |     "moduleResolution": "bundler",
11 |     "allowImportingTsExtensions": true,
12 |     "resolveJsonModule": true,
13 |     "isolatedModules": true,
14 |     "noEmit": true,
15 |     "jsx": "react-jsx",
16 | 
17 |     /* Linting */
18 |     "strict": true,
19 |     "noUnusedLocals": true,
20 |     "noUnusedParameters": true,
21 |     "noFallthroughCasesInSwitch": true
22 |   },
23 |   "include": ["src"],
24 |   "references": [{ "path": "./tsconfig.node.json" }]
25 | }
26 | 


--------------------------------------------------------------------------------
/tsconfig.node.json:
--------------------------------------------------------------------------------
 1 | {
 2 |   "compilerOptions": {
 3 |     "composite": true,
 4 |     "skipLibCheck": true,
 5 |     "module": "ESNext",
 6 |     "moduleResolution": "bundler",
 7 |     "allowSyntheticDefaultImports": true
 8 |   },
 9 |   "include": ["vite.config.ts"]
10 | }
11 | 


--------------------------------------------------------------------------------
/vite.config.ts:
--------------------------------------------------------------------------------
 1 | import { defineConfig } from "vite";
 2 | import react from "@vitejs/plugin-react";
 3 | 
 4 | // @ts-expect-error process is a nodejs global
 5 | const host = process.env.TAURI_DEV_HOST;
 6 | 
 7 | // https://vitejs.dev/config/
 8 | export default defineConfig(async () => ({
 9 |   plugins: [react()],
10 | 
11 |   // Vite options tailored for Tauri development and only applied in `tauri dev` or `tauri build`
12 |   //
13 |   // 1. prevent vite from obscuring rust errors
14 |   clearScreen: false,
15 |   // 2. tauri expects a fixed port, fail if that port is not available
16 |   server: {
17 |     port: 1420,
18 |     strictPort: true,
19 |     host: host || false,
20 |     hmr: host
21 |       ? {
22 |           protocol: "ws",
23 |           host,
24 |           port: 1421,
25 |         }
26 |       : undefined,
27 |     watch: {
28 |       // 3. tell vite to ignore watching `src-tauri`
29 |       ignored: ["**/src-tauri/**"],
30 |     },
31 |   },
32 | }));
33 | 


--------------------------------------------------------------------------------