jeremy d901208032 feat: VoiceCoach v2.1 - GPU local, Ollama LLM, settings panel, token server separation
- pipeline.py: switched LLM from OpenClaw/Claude to local Ollama, added settings loading, sentence aggregator, async SpeechBrain, tuned VAD
- main.py: simplified (no more token server thread, just pipeline)
- token_server.py: NEW - standalone token + settings API server
- docker-compose.yml: all services on GPU machine, added token-server service, CUDA speaches, Ollama LLM
- web-client/index.html: added settings panel with sliders
- web-client/app.js: settings management, localStorage persistence, push to server
- web-client/style.css: settings panel styles
- web-client/nginx.conf: proxy to token-server instead of pipecat-agent
- patch_livekit.py: updated with proper indentation-safe patching
2026-04-04 12:27:06 -05:00
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Description
Real-time voice coaching pipeline - Pipecat + SpeechBrain + Claude + LiveKit + Piper TTS
70 KiB
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Python 69.6%
JavaScript 11%
CSS 7.4%
HTML 7.4%
Dockerfile 4.6%