60 lines
1.7 KiB
Python
60 lines
1.7 KiB
Python
import asyncio
|
|
import os
|
|
import logging
|
|
|
|
import aiohttp
|
|
|
|
from dailyai.pipeline.frames import EndFrame, LLMMessagesFrame
|
|
from dailyai.pipeline.pipeline import Pipeline
|
|
from dailyai.transports.daily_transport import DailyTransport
|
|
from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
|
|
from dailyai.services.open_ai_services import OpenAILLMService
|
|
|
|
from runner import configure
|
|
|
|
from dotenv import load_dotenv
|
|
load_dotenv(override=True)
|
|
|
|
logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
|
|
logger = logging.getLogger("dailyai")
|
|
logger.setLevel(logging.DEBUG)
|
|
|
|
|
|
async def main(room_url):
|
|
async with aiohttp.ClientSession() as session:
|
|
transport = DailyTransport(
|
|
room_url,
|
|
None,
|
|
"Say One Thing From an LLM",
|
|
mic_enabled=True,
|
|
)
|
|
|
|
tts = ElevenLabsTTSService(
|
|
aiohttp_session=session,
|
|
api_key=os.getenv("ELEVENLABS_API_KEY"),
|
|
voice_id=os.getenv("ELEVENLABS_VOICE_ID"),
|
|
)
|
|
|
|
llm = OpenAILLMService(
|
|
api_key=os.getenv("OPENAI_API_KEY"),
|
|
model="gpt-4-turbo-preview")
|
|
|
|
messages = [
|
|
{
|
|
"role": "system",
|
|
"content": "You are an LLM in a WebRTC session, and this is a 'hello world' demo. Say hello to the world.",
|
|
}]
|
|
|
|
pipeline = Pipeline([llm, tts])
|
|
|
|
@transport.event_handler("on_first_other_participant_joined")
|
|
async def on_first_other_participant_joined(transport):
|
|
await pipeline.queue_frames([LLMMessagesFrame(messages), EndFrame()])
|
|
|
|
await transport.run(pipeline)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
(url, token) = configure()
|
|
asyncio.run(main(url))
|