app.py

import streamlit as st
from transformers import pipeline
from pydub import AudioSegment, silence

pipe = pipeline('sentiment-analysis')
text = st.text_area('enter some text')

if text:
    out = pipe(text)
    st.json(out)

st.markdown("<h1 style = text align:center;'> Audio to Text Convertor </h1>",unsafe_allow_html = True)