Files
pipecat/src/examples/foundational/07-interruptible.py
2024-03-08 15:25:17 -06:00

74 lines
2.5 KiB
Python

import asyncio
import aiohttp
import logging
import os
from dailyai.pipeline.aggregators import (
LLMAssistantContextAggregator,
LLMResponseAggregator,
LLMUserContextAggregator,
UserResponseAggregator,
)
from dailyai.pipeline.pipeline import Pipeline
from dailyai.services.ai_services import FrameLogger
from dailyai.services.daily_transport_service import DailyTransportService
from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
from examples.support.runner import configure
logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
logger = logging.getLogger("dailyai")
logger.setLevel(logging.DEBUG)
async def main(room_url: str, token):
async with aiohttp.ClientSession() as session:
transport = DailyTransportService(
room_url,
token,
"Respond bot",
duration_minutes=5,
start_transcription=True,
mic_enabled=True,
mic_sample_rate=16000,
camera_enabled=False,
vad_enabled=True,
)
llm = AzureLLMService(
api_key=os.getenv("AZURE_CHATGPT_API_KEY"),
endpoint=os.getenv("AZURE_CHATGPT_ENDPOINT"),
model=os.getenv("AZURE_CHATGPT_MODEL"),
)
tts = AzureTTSService(
api_key=os.getenv("AZURE_SPEECH_API_KEY"),
region=os.getenv("AZURE_SPEECH_REGION"),
)
pipeline = Pipeline([FrameLogger(), llm, FrameLogger(), tts])
@transport.event_handler("on_first_other_participant_joined")
async def on_first_other_participant_joined(transport):
await tts.say("Hi, I'm listening!", transport.send_queue)
async def run_conversation():
messages = [
{
"role": "system",
"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be converted to audio. Respond to what the user said in a creative and helpful way.",
},
]
await transport.run_interruptible_pipeline(
pipeline,
post_processor=LLMResponseAggregator(messages),
pre_processor=UserResponseAggregator(messages),
)
transport.transcription_settings["extra"]["punctuate"] = False
await asyncio.gather(transport.run(), run_conversation())
if __name__ == "__main__":
(url, token) = configure()
asyncio.run(main(url, token))