f64d76e737
Some checks failed
Release / semantic-release (push) Successful in 31s
Release / build-windows (push) Has been cancelled
Release / build-macos (arm64, macos-latest) (push) Has been cancelled
Release / build-macos (x64, macos-15-intel) (push) Has been cancelled
Release / build-linux (push) Has been cancelled
Release / release-main (push) Has been cancelled
Release / release-develop (push) Has been cancelled
tests / Unit tests (Linux, Python 3.11) (push) Has been cancelled
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>
2.6 KiB
2.6 KiB