74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
import argparse
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import asyncio
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import re
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import aiohttp
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from dailyai.services.daily_transport_service import DailyTransportService
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from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
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from dailyai.queue_frame import EndStreamQueueFrame, LLMMessagesQueueFrame
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from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
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async def main(room_url: str):
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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 Two Things Bot",
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1,
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)
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transport.mic_enabled = True
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transport.mic_sample_rate = 16000
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transport.camera_enabled = False
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llm = AzureLLMService()
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azure_tts = AzureTTSService()
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elevenlabs_tts = ElevenLabsTTSService(session, voice_id="ErXwobaYiN019PkySvjV")
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messages = [{"role": "system", "content": "tell the user a joke about llamas"}]
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# Start a task to run the LLM to create a joke, and convert the LLM output to audio frames. This task
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# will run in parallel with generating and speaking the audio for static text, so there's no delay to
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# speak the LLM response.
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buffer_queue = asyncio.Queue()
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llm_response_task = asyncio.create_task(
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elevenlabs_tts.run_to_queue(
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buffer_queue,
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llm.run([LLMMessagesQueueFrame(messages)]),
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True,
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)
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)
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@transport.event_handler("on_participant_joined")
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async def on_joined(transport, participant):
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if participant["id"] == transport.my_participant_id:
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return
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await azure_tts.say("My friend the LLM is now going to tell a joke about llamas.", transport.send_queue)
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async def buffer_to_send_queue():
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while True:
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frame = await buffer_queue.get()
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await transport.send_queue.put(frame)
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buffer_queue.task_done()
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if isinstance(frame, EndStreamQueueFrame):
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break
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await asyncio.gather(llm_response_task, buffer_to_send_queue())
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await transport.stop_when_done()
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await transport.run()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Simple Daily Bot Sample")
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parser.add_argument(
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"-u", "--url", type=str, required=True, help="URL of the Daily room to join"
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)
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args, unknown = parser.parse_known_args()
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asyncio.run(main(args.url))
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