Update app.py

app.py

@@ -4,27 +4,23 @@ import pandas as pd
 from transformers import pipeline
 import streamlit as st
 
+
 def app():
     st.title("Text Summarization  🤓")
 
     st.markdown("This is a Web application that Summarizes Text 😎")
     text=st.text_area('Enter Text')
- 
-    def facebook_bart_model():
-        summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
-        return summarizer
-    summarizer= facebook_bart_model()
-
-    def text_summarizer(text):
-        a = summarizer(text, max_length=450, min_length=150, do_sample=False)
-        return a[0]['summary_text']
+    
+    summarizer = pipeline("summarization", model="google/bigbird-pegasus-large-bigpatent")
+    
+    pipe=summarizer(text,min_length=100, max_length=400)
 
 
     # Check to see if a file has been uploaded
     if text:
         st.success("Summarizing Text, Please wait...")
         # If it has then do the following:
-        out=text.apply(text_summarizer)
+        out=pipe(text)
         st.json(out)