53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
import asyncio
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import logging
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import signal
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from dotenv import load_dotenv
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load_dotenv()
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from vocode.streaming.hosted_streaming_conversation import HostedStreamingConversation
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from vocode.streaming.streaming_conversation import StreamingConversation
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from vocode.helpers import create_microphone_input_and_speaker_output
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from vocode.streaming.models.transcriber import (
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DeepgramTranscriberConfig,
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PunctuationEndpointingConfig,
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)
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from vocode.streaming.models.agent import (
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ChatGPTAgentConfig,
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CutOffResponse,
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FillerAudioConfig,
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RESTfulUserImplementedAgentConfig,
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WebSocketUserImplementedAgentConfig,
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EchoAgentConfig,
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LLMAgentConfig,
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ChatGPTAgentConfig,
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)
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from vocode.streaming.models.message import BaseMessage
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from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
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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(
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streaming=True, use_default_devices=False
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)
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conversation = HostedStreamingConversation(
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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=ChatGPTAgentConfig(
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initial_message=BaseMessage(text="Hello!"),
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prompt_preamble="The AI is having a pleasant conversation about life",
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generate_responses=True,
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cut_off_response=CutOffResponse(),
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),
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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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