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import psutil |
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from streamlit_mic_recorder import mic_recorder |
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from audio_processing.A2T import A2T |
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from audio_processing.T2A import T2A |
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from command.utils import build_chain |
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from llm.llm_factory import LLM_Factory |
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llm_model = LLM_Factory() |
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trigger = {"lc": "effective"} |
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def prepare_cor(input_text: str): |
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return build_chain.build_command_chain().handle_command(input_text) |
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def main(): |
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mic = mic_recorder(start_prompt="Record", stop_prompt="Stop", just_once=True) |
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if mic is not None: |
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a2t = A2T(mic["bytes"]) |
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text = a2t.predict() |
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print(text) |
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llm = llm_model.create_llm(prompt_entity=text, prompt_id=1, trigger=trigger) |
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response = llm.execution() if llm is not None else "Oops occurred some error. Please try again" |
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t2a = T2A(response) |
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t2a.autoplay() |
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if __name__ == "__main__": |
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print('RAM memory % used:', psutil.virtual_memory()[2]) |
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main() |
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