147 lines
5.1 KiB
Python
147 lines
5.1 KiB
Python
#
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# Copyright (c) 2024, Daily
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#
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# SPDX-License-Identifier: BSD 2-Clause License
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#
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import asyncio
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import aiohttp
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import os
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import sys
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from pipecat.frames.frames import LLMMessagesFrame
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from pipecat.pipeline.pipeline import Pipeline
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from pipecat.pipeline.parallel_pipeline import ParallelPipeline
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from pipecat.pipeline.runner import PipelineRunner
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from pipecat.pipeline.task import PipelineParams, PipelineTask
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from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
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from pipecat.processors.filters.function_filter import FunctionFilter
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from pipecat.services.cartesia import CartesiaTTSService
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from pipecat.services.openai import OpenAILLMService
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from pipecat.services.whisper import Model, WhisperSTTService
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from pipecat.transports.services.daily import DailyParams, DailyTransport
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from pipecat.vad.silero import SileroVADAnalyzer
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from openai.types.chat import ChatCompletionToolParam
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from runner import configure
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from loguru import logger
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from dotenv import load_dotenv
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load_dotenv(override=True)
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logger.remove(0)
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logger.add(sys.stderr, level="DEBUG")
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current_language = "English"
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async def switch_language(function_name, tool_call_id, args, llm, context, result_callback):
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global current_language
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current_language = args["language"]
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await result_callback({"voice": f"Your answers from now on should be in {current_language}."})
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async def english_filter(frame) -> bool:
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return current_language == "English"
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async def spanish_filter(frame) -> bool:
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return current_language == "Spanish"
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async def main():
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async with aiohttp.ClientSession() as session:
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(room_url, token) = await configure(session)
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transport = DailyTransport(
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room_url,
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token,
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"Pipecat",
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DailyParams(
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audio_in_enabled=True,
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audio_out_enabled=True,
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vad_enabled=True,
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vad_analyzer=SileroVADAnalyzer(),
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vad_audio_passthrough=True
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)
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)
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stt = WhisperSTTService(model=Model.LARGE)
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english_tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22", # British Lady
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)
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spanish_tts = CartesiaTTSService(
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api_key=os.getenv("CARTESIA_API_KEY"),
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voice_id="846d6cb0-2301-48b6-9683-48f5618ea2f6", # Spanish-speaking Lady
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)
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llm = OpenAILLMService(
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api_key=os.getenv("OPENAI_API_KEY"),
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model="gpt-4o")
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llm.register_function("switch_language", switch_language)
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tools = [
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ChatCompletionToolParam(
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type="function",
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function={
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"name": "switch_language",
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"description": "Switch to another language when the user asks you to",
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"parameters": {
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"type": "object",
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"properties": {
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"language": {
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"type": "string",
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"description": "The language the user wants you to speak",
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},
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},
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"required": ["language"],
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},
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})]
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messages = [
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{
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"role": "system",
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"content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities. Respond to what the user said in a creative and helpful way. Your output should not include non-alphanumeric characters. You can speak the following languages: 'English' and 'Spanish'.",
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},
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]
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context = OpenAILLMContext(messages, tools)
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context_aggregator = llm.create_context_aggregator(context)
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pipeline = Pipeline([
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transport.input(), # Transport user input
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stt, # STT
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context_aggregator.user(), # User responses
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llm, # LLM
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ParallelPipeline( # TTS (bot will speak the chosen language)
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[FunctionFilter(english_filter), english_tts], # English
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[FunctionFilter(spanish_filter), spanish_tts], # Spanish
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),
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transport.output(), # Transport bot output
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context_aggregator.assistant() # Assistant spoken responses
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])
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task = PipelineTask(pipeline, PipelineParams(allow_interruptions=True))
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@transport.event_handler("on_first_participant_joined")
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async def on_first_participant_joined(transport, participant):
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transport.capture_participant_transcription(participant["id"])
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# Kick off the conversation.
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messages.append(
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{
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"role": "system",
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"content": f"Please introduce yourself to the user and let them know the languages you speak. Your initial responses should be in {current_language}."})
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await task.queue_frames([LLMMessagesFrame(messages)])
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runner = PipelineRunner()
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await runner.run(task)
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if __name__ == "__main__":
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asyncio.run(main())
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