Basic.py

import streamlit as st
import whisper
from tempfile import NamedTemporaryFile
import ffmpeg


st.title("Whisper App")

# upload audio file with streamlit
audio_file = st.file_uploader("Upload Meeting Audio", type=["mp3"])

# model = whisper.load_model("base") # loading the base model
st.text("Whisper Model Loaded")

def load_whisper_model():

    return model

    
if st.sidebar.button("Transcribe Audio"):
    if audio_file is not None:
        with NamedTemporaryFile(suffix="mp3") as temp:
            temp.write(audio_file.getvalue())
            temp.seek(0)
            model = whisper.load_model("base")
            result = model.transcribe(temp.name)
            st.write(result["text"])
    #     st.sidebar.success("Transcribing Audio")
    #     transcription = model.transcribe(audio_file.name)
    #     st.sidebar.success("Transcription Complete")
    #     st.markdown(transcription["text"])
    # else:
    #     st.sidebar.error("Please upload an audio file")
        
st.sidebar.header("Play Original Audio File")
st.sidebar.audio(audio_file)