app.py

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


st.title("MinuteBot App")

# upload audio file with streamlit
audio_file = st.file_uploader("Unggah Meeting Audio", type=["mp3", "wav", "m4a"])

# model = whisper.load_model("base") # loading the base model
st.text("MinuteBot Model telah dimuat:")

def load_whisper_model():

 return model

 
if st.sidebar.button("Transkripsikan Audio"):
 if audio_file is not None:
 with NamedTemporaryFile() as temp:
 temp.write(audio_file.getvalue())
 temp.seek(0)
 model = whisper.load_model("large-v2")
 result = model.transcribe(temp.name)
 st.write(result["text"])
 
st.sidebar.header("Putar Berkas Audio")
st.sidebar.audio(audio_file)