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The user chose Microsoft Edge TTS, voice ko-KR-HyunsuMultilingualNeural at rate +45% (~1.45x), as the natural Korean voice. Wire it into the bridge and make it the default engine. - bridge/server.py: _edge_synthesize() calls edge-tts and transcodes the MP3 to PCM16 mono WAV with the system ffmpeg (temp file for a correct header); TTS_ENGINE default -> edge; EDGE_TTS_VOICE / EDGE_TTS_RATE env-driven - requirements-bridge.txt: add edge-tts (lightweight; httpx) - compose/.env.example/README: TTS_ENGINE=edge + EDGE_TTS_* knobs; note the online/privacy trade-off (reply text is sent to Microsoft, needs internet) - drop the now-unused MeloTTS build layer (Dockerfile) and melo-worker (supervisord) — edge synthesises in-process, no model/worker baked, slimmer and faster image; settings UI engine list -> edge/piper, restart only bridge Verified on host: edge-tts -> ffmpeg yields a valid 16-bit mono 24kHz WAV; envsubst renders tts_engine=edge; docker build --check + 26 tests pass. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
39 lines
1.2 KiB
Plaintext
39 lines
1.2 KiB
Plaintext
# Slim dependency set for the containerized brain bridge.
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# Excludes the upstream desktop GUI / dictation / packaging / alternate-TTS
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# stack (PyQt6, pyinstaller, sounddevice, webrtcvad, pynput, pygame,
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# chatterbox-tts/torch, mlx) which are unused in the Discord+VNC deployment.
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# --- Brain runtime (imported when the reply engine loads) ---
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python-dotenv==1.0.1
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# >=1.1.0 pulls a ctranslate2 with Blackwell (sm_120) CUDA kernels.
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faster-whisper>=1.1.0
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mcp==1.13.1
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numpy<2.0.0
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rapidfuzz==3.6.1
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requests==2.32.3
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# --- CUDA libraries for GPU-accelerated Whisper (RTX 5050 / sm_120) ---
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# ctranslate2 dlopens these at transcribe time; LD_LIBRARY_PATH is set in the
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# Dockerfile to point at them. Verified working on Blackwell sm_120.
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nvidia-cublas-cu12
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nvidia-cudnn-cu12
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# --- Bridge HTTP service ---
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flask>=3.0.0
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# --- Text-to-speech ---
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# Edge TTS: the primary Korean voice (online MS neural). Lightweight (httpx);
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# emits MP3, transcoded to PCM16 by the system ffmpeg in the bridge.
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edge-tts>=6.1.0
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# Piper: offline English fallback.
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piper-tts>=1.3.0
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# --- Built-in tools (lazily imported; needed for full functionality) ---
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beautifulsoup4>=4.12.0
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lxml>=4.9.0
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html2text>=2020.1.16
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geoip2==4.8.0
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Pillow==10.4.0
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pytesseract==0.3.13
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faiss-cpu>=1.7.4
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