app.py

import streamlit as st
import pandas as pd
#import torch
from transformers import pipeline

summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent"


def main():
    st.title("Text Summarization  🤓")
    
    #st.markdown("This is a Web application that Summarizes Text 😎")
    text=st.text_area('Enter Text')
        
        
    summarize = st.button("Summarize") 
    
        # Check to see if a file has been uploaded
    if summarize:
        st.success("Summarizing Text, Please wait...")
            # If it has then do the following:
        result=summarizer(text,min_length=100, max_length=400)
        st.header(result)
    
if __name__ == '__main__':
	main()