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import asyncio
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import copy
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import os
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from livekit.agents import AutoSubscribe, JobContext, WorkerOptions, cli
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from livekit.agents.llm import ChatContext, ChatMessage
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from livekit import rtc
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from livekit.agents.voice_assistant import VoiceAssistant
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from livekit.plugins import deepgram, openai, silero, elevenlabs
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from dotenv import load_dotenv
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load_dotenv()
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# This function is the entrypoint for the agent.
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async def entrypoint(ctx: JobContext):
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# Create an initial chat context with a system prompt
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initial_ctx = ChatContext().append(
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role="system",
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text=(
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"You are a voice assistant created by LiveKit. Your interface with users will be voice. "
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"You should use short and concise responses, and avoiding usage of unpronounceable punctuation."
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),
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)
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# Connect to the LiveKit room
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await ctx.connect(auto_subscribe=AutoSubscribe.AUDIO_ONLY)
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# VoiceAssistant is a class that creates a full conversational AI agent.
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# See https://github.com/livekit/agents/blob/main/livekit-agents/livekit/agents/voice_assistant/assistant.py
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# for details on how it works.
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open_interpreter = openai.LLM(
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model="open-interpreter", base_url="http://0.0.0.0:8000/openai"
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)
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assistant = VoiceAssistant(
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vad=silero.VAD.load(), # Voice Activity Detection
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stt=deepgram.STT(), # Speech-to-Text
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llm=open_interpreter, # Language Model
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tts=elevenlabs.TTS(), # Text-to-Speech
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chat_ctx=initial_ctx, # Chat history context
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)
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chat = rtc.ChatManager(ctx.room)
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async def _answer_from_text(text: str):
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chat_ctx = copy.deepcopy(assistant._chat_ctx)
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chat_ctx.messages.append(ChatMessage(role="user", content=text))
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stream = open_interpreter.chat(chat_ctx=chat_ctx)
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await assistant.say(stream)
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@chat.on("message_received")
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def on_chat_received(msg: rtc.ChatMessage):
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print("RECEIVED MESSAGE OMG!!!!!!!!!!")
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print("RECEIVED MESSAGE OMG!!!!!!!!!!")
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print("RECEIVED MESSAGE OMG!!!!!!!!!!")
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print("RECEIVED MESSAGE OMG!!!!!!!!!!")
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if not msg.message:
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return
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asyncio.create_task(_answer_from_text(msg.message))
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# Start the voice assistant with the LiveKit room
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assistant.start(ctx.room)
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await asyncio.sleep(1)
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# Greets the user with an initial message
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await assistant.say("Hey, how can I help you today?", allow_interruptions=True)
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if __name__ == "__main__":
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# Initialize the worker with the entrypoint
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cli.run_app(
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WorkerOptions(entrypoint_fnc=entrypoint, api_key="devkey", api_secret="secret", port=8082)
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)
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