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# version - ArticMonkey:19.03.24:1743
import psutil
import base64
import time
import streamlit as st
from audio_processing.A2T import A2T
from audio_processing.T2A import T2A
from llm.llm import LLM_chain
from streamlit_mic_recorder import mic_recorder
llmchain = LLM_chain()
def autoplay(audio, wait: bool=True):
if audio:
audio_bytes = audio["bytes"]
sample_rate = audio["sample_rate"]
sample_width = audio["sample_width"]
total_samples = len(audio_bytes) / sample_width
duration = total_samples / sample_rate
audio_base64 = base64.b64encode(audio_bytes).decode('utf-8')
if wait:
time.sleep(duration)
def main():
mic = mic_recorder(start_prompt="Record",stop_prompt="Stop", just_once=True)
if mic is not None:
a2t = A2T(mic["bytes"])
text = a2t.predict()
response = llmchain(entity=text, id=0)
t2a = T2A(response)
autoplay(t2a)
if __name__ == "__main__":
print('RAM memory % used:', psutil.virtual_memory()[2])
print('RAM Used (GB):', psutil.virtual_memory()[3]/1000000000)
main() |