Update app.py

app.py

@@ -3,6 +3,7 @@ import pandas as pd
 #import torch
 from transformers import pipeline
 import streamlit as st
+summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent"
 
 
 def app():
@@ -11,15 +12,16 @@ def app():
     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...")
-        summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent"
         # If it has then do the following:
-        out=summarizer(text,min_length=100, max_length=400)
-        st.json(out)
+        result=summarizer(text,min_length=100, max_length=400)
+        st.header(result)
+