38 lines
1.6 KiB
Python
38 lines
1.6 KiB
Python
import asyncio
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import logging
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import signal
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from vocode.conversation import Conversation
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from vocode.helpers import create_microphone_input_and_speaker_output
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from vocode.models.transcriber import DeepgramTranscriberConfig, PunctuationEndpointingConfig, GoogleTranscriberConfig
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from vocode.models.agent import ChatGPTAgentConfig, RESTfulUserImplementedAgentConfig, WebSocketUserImplementedAgentConfig, EchoAgentConfig, ChatGPTAlphaAgentConfig, ChatGPTAgentConfig
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from vocode.models.synthesizer import AzureSynthesizerConfig
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from vocode.user_implemented_agent.restful_agent import RESTfulAgent
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logging.basicConfig()
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logging.root.setLevel(logging.INFO)
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if __name__ == "__main__":
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microphone_input, speaker_output = create_microphone_input_and_speaker_output(use_default_devices=False)
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conversation = Conversation(
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input_device=microphone_input,
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output_device=speaker_output,
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transcriber_config=DeepgramTranscriberConfig.from_input_device(
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microphone_input,
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endpointing_config=PunctuationEndpointingConfig()
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),
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agent_config=WebSocketUserImplementedAgentConfig(
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initial_message="Hello!",
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respond=WebSocketUserImplementedAgentConfig.RouteConfig(
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url="wss://8b7425d5b2ab.ngrok.io/respond",
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)
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),
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id="ajay",
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# agent_config=ChatGPTAgentConfig(initial_message="hello", prompt_preamble="you are an expert on the NBA"),
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synthesizer_config=AzureSynthesizerConfig.from_output_device(speaker_output)
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)
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signal.signal(signal.SIGINT, lambda _0, _1: conversation.deactivate())
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asyncio.run(conversation.start())
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