jeremy
d901208032
- 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
44 lines
1.3 KiB
Python
Executable File
44 lines
1.3 KiB
Python
Executable File
"""
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VoiceCoach pipeline entry point.
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Token server runs as a separate container — this file only runs the pipeline.
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Pipeline exits on session end; Docker restarts the container for a fresh state.
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"""
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import asyncio
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import logging
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import os
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import uuid
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from datetime import timedelta
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import structlog
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from livekit import api as livekit_api
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from pipeline import run_voice_coach_pipeline
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logging.basicConfig(level=logging.INFO)
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logger = structlog.get_logger()
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LIVEKIT_API_KEY = os.environ["LIVEKIT_API_KEY"]
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LIVEKIT_API_SECRET = os.environ["LIVEKIT_API_SECRET"]
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LIVEKIT_WS_URL = os.getenv("LIVEKIT_URL", "ws://livekit-server:7880")
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async def main():
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agent_identity = f"voicecoach-agent-{uuid.uuid4().hex[:8]}"
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token = livekit_api.AccessToken(LIVEKIT_API_KEY, LIVEKIT_API_SECRET)
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token.with_grants(livekit_api.VideoGrants(room_join=True, room="voicecoach"))
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token.identity = agent_identity
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token.ttl = timedelta(hours=24)
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livekit_token = token.to_jwt()
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logger.info("Starting VoiceCoach pipeline", identity=agent_identity)
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await run_voice_coach_pipeline(
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livekit_url=LIVEKIT_WS_URL,
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livekit_token=livekit_token,
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openclaw_token="",
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)
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logger.info("Pipeline exited")
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if __name__ == "__main__":
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asyncio.run(main())
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