周小舟 6e59f40f01 feat: in-app Whisper (faster-whisper) — opt-in install + model management ...

Videos without embedded subtitles (e.g. B站 without AI字幕) need Whisper to
generate subtitles, but bundling it would bloat every install. Instead let
users install it on demand from Settings → 语音识别, and pick which model.

Backend uses faster-whisper (CTranslate2, no PyTorch, ~214MB installed, several
times faster than openai-whisper, cross-platform) — chosen over mlx-whisper,
which hard-depends on torch (~2-3GB).

- whisper_runtime.py (new): pip-install faster-whisper into a user-writable dir
  (<data>/whisper-runtime) using the bundled Python; add to sys.path; status +
  coarse progress; uninstall. Never writes into the signed .app bundle.
- whisper_model_manager.py: tiny→large-v3 from Systran/faster-whisper-*,
  background download via huggingface_hub, real status; cache under
  <data>/whisper-models.
- speech_recognizer.py: subtitle generation rewritten from the `whisper` CLI to
  faster-whisper's WhisperModel API → SRT; availability = runtime installed.
- speech_recognition.py API: /whisper/install, /whisper/uninstall,
  /whisper/runtime-status (+ existing /whisper-models*).
- SpeechRecognitionConfig.tsx: was a stub; now a full UI (install button +
  progress + log, model list with download/delete/status) wired to a new
  speechApi in services/api.ts.
- build_macos_arm.sh: allowlist faster_whisper/ctranslate2/huggingface_hub in
  the dependency guard (they're installed at runtime, imported lazily).

Verified end-to-end: install runtime → download tiny model → transcribe a real
video into a valid SRT, all through the API/runtime.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

2026-05-31 01:06:26 +08:00

..

v1

feat: in-app Whisper (faster-whisper) — opt-in install + model management

2026-05-31 01:06:26 +08:00

__init__.py

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account_health.py

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upload_queue.py

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