dschlueter/my_voice_assistant_v3
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feat(stt): echtes lokales STT via faster-whisper (optional .[local])

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- FasterWhisperProvider implementiert (CTranslate2): Modell prozessweit gecacht
  (lru_cache), Transkription in asyncio.to_thread; robuster CPU-Fallback wenn
  GPU/compute_type nicht verfuegbar
- Config: FASTER_WHISPER_MODEL/DEVICE/COMPUTE_TYPE (Defaults base/auto/default)
- pyproject: optionales Extra [local] = faster-whisper
- Test: transcribe-Endpunkt nutzt jetzt einen Stub-STT (kein Platzhalter mehr)
- Doku: Voraussetzungen, Hybrid-Beispiel (STT+LLM lokal, TTS remote), Architektur/README

Live verifiziert: TTS->WAV->faster-whisper transkribiert korrekt (de); voller Hybrid
ueber /ws/voice (faster-whisper + Ollama llama3.2 + OpenRouter-TTS) funktioniert.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Dieter Schlüter 2026-06-17 11:28:20 +02:00
commit c25f081f9f
8 changed files with 92 additions and 8 deletions
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3
app/config.py
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@ -120,6 +120,9 @@ class Settings(BaseSettings):
local_llm_base_url: str = "http://127.0.0.1:11434/v1"
local_llm_api_key: str = "dummy"
local_llm_model: str = "llama3.1"
faster_whisper_model: str = "base" # tiny|base|small|medium|large-v3
faster_whisper_device: str = "auto" # auto|cpu|cuda
faster_whisper_compute_type: str = "default" # default|int8|float16|int8_float16
db_path: str = str(BASE_DIR / "data" / "voice-assistant.db")
admin_api_key: str = ""
auth_enabled: bool = True