move src/examples to examples
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56
examples/foundational/02-llm-say-one-thing.py
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56
examples/foundational/02-llm-say-one-thing.py
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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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from dailyai.pipeline.frames import EndFrame, LLMMessagesQueueFrame
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from dailyai.pipeline.pipeline import Pipeline
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from dailyai.services.daily_transport_service import DailyTransportService
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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 examples.support.runner import configure
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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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async def main(room_url):
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async with aiohttp.ClientSession() as session:
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transport = DailyTransportService(
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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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tts = ElevenLabsTTSService(
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aiohttp_session=session,
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api_key=os.getenv("ELEVENLABS_API_KEY"),
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voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
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)
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_CHATGPT_API_KEY"),
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model="gpt-4-turbo-preview")
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messages = [
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{
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"role": "system",
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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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@transport.event_handler("on_first_other_participant_joined")
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async def on_first_other_participant_joined(transport):
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await pipeline.queue_frames([LLMMessagesQueueFrame(messages), EndFrame()])
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await transport.run(pipeline)
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if __name__ == "__main__":
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(url, token) = configure()
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asyncio.run(main(url))
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