jeremy
59856bd4fc
Services: Pipecat agent (LiveKit + Claude + Whisper STT + Piper TTS), SpeechBrain analysis service, Piper TTS service, web client (nginx). Includes LiveKit server config and docker-compose orchestration. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
47 lines
1.3 KiB
Python
Executable File
47 lines
1.3 KiB
Python
Executable File
"""
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Entry point for the Pipecat VoiceCoach agent.
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Reads config from environment variables.
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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 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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async def main():
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anthropic_key = os.environ["ANTHROPIC_API_KEY"]
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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_url = os.getenv("LIVEKIT_URL", "ws://livekit-server:7880")
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# Generate LiveKit access token for this agent
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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 = "voicecoach-agent"
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livekit_token = token.to_jwt()
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session_context = {
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"baseline_context": "",
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"session_history": "",
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"current_mode": "coaching mode",
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}
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logger.info("Starting VoiceCoach pipeline", livekit_url=livekit_url)
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await run_voice_coach_pipeline(
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livekit_url=livekit_url,
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livekit_token=livekit_token,
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anthropic_key=anthropic_key,
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session_context=session_context,
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)
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if __name__ == "__main__":
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asyncio.run(main())
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