74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
import asyncio
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import os
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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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from examples.foundational.support.runner import configure
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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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"Static And Dynamic Speech",
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duration_minutes=1,
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mic_enabled=True,
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mic_sample_rate=16000,
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camera_enabled=False
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)
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llm = AzureLLMService(
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api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
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endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
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model=os.getenv("AZURE_CHATGPT_MODEL"))
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azure_tts = AzureTTSService(
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api_key=os.getenv("AZURE_SPEECH_API_KEY"),
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region=os.getenv("AZURE_SPEECH_REGION"))
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elevenlabs_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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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_first_other_participant_joined")
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async def on_first_other_participant_joined(transport):
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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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(url, token) = configure()
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asyncio.run(main(url))
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