initial commit for new pipecat architecture
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@@ -1,23 +1,31 @@
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#
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# Copyright (c) 2024, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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import os
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import logging
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import aiohttp
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import os
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import sys
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from dailyai.pipeline.frames import EndFrame, LLMMessagesFrame
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from dailyai.pipeline.pipeline import Pipeline
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from dailyai.transports.daily_transport import DailyTransport
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from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
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from dailyai.services.open_ai_services import OpenAILLMService
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from pipecat.frames.frames import EndFrame, LLMMessagesFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineTask
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from pipecat.services.elevenlabs import ElevenLabsTTSService
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from pipecat.services.openai import OpenAILLMService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from runner import configure
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from loguru import logger
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from dotenv import load_dotenv
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load_dotenv(override=True)
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logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
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logger = logging.getLogger("dailyai")
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logger.setLevel(logging.DEBUG)
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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async def main(room_url):
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@@ -26,8 +34,7 @@ async def main(room_url):
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room_url,
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None,
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"Say One Thing From an LLM",
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mic_enabled=True,
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)
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DailyParams(audio_out_enabled=True))
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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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@@ -45,13 +52,15 @@ async def main(room_url):
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"content": "You are an LLM in a WebRTC session, and this is a 'hello world' demo. Say hello to the world.",
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}]
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pipeline = Pipeline([llm, tts])
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runner = PipelineRunner()
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@transport.event_handler("on_first_other_participant_joined")
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async def on_first_other_participant_joined(transport, participant):
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await pipeline.queue_frames([LLMMessagesFrame(messages), EndFrame()])
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task = PipelineTask(Pipeline([llm, tts, transport.output()]))
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await transport.run(pipeline)
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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await task.queue_frames([LLMMessagesFrame(messages), EndFrame()])
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await runner.run(task)
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if __name__ == "__main__":
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