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import psutil |
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import base64 |
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import time |
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import streamlit as st |
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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 llm.llm import LLM_chain |
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from streamlit_mic_recorder import mic_recorder |
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llmchain = LLM_chain() |
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def autoplay(audio, wait: bool=True): |
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if audio: |
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audio_bytes = audio["bytes"] |
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sample_rate = audio["sample_rate"] |
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sample_width = audio["sample_width"] |
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total_samples = len(audio_bytes) / sample_width |
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duration = total_samples / sample_rate |
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audio_base64 = base64.b64encode(audio_bytes).decode('utf-8') |
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if wait: |
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time.sleep(duration) |
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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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response = llmchain(entity=text, id=0) |
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t2a = T2A(response) |
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autoplay(t2a) |
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if __name__ == "__main__": |
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print('RAM memory % used:', psutil.virtual_memory()[2]) |
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print('RAM Used (GB):', psutil.virtual_memory()[3]/1000000000) |
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main() |
