app.py

import streamlit as st
from transformers import pipeline

def summarize_text(text):
    model = pipeline("text-classification", model = "cross-encoder/qnli-electra-base")
    text_input = model(text)
    return text_input

def main():
    user_input = st.text_area("Input Text Here")
    if st.button("Sentiment"):
        summary = summarize_text(user_input)
        st.write("Sentiment:")
        st.write(summary)

if __name__ == "__main__":
    main()