Update app.py

app.py

@@ -1,13 +1,23 @@
 import streamlit as st
 from transformers import pipeline
+import textwrap
 
 st.title('Hugging Face BERT Summarizer')
 uploaded_file = st.file_uploader("Choose a .txt file", type="txt")
 
 if uploaded_file is not None:
     user_input = uploaded_file.read().decode('utf-8')
+
     if st.button('Summarize'):
         summarizer = pipeline('summarization')
-        summarized = summarizer(user_input, max_length=130, min_length=30, do_sample=False)
-        summarized_text = summarized[0]['summary_text']
+        summarized_text = ""
+
+        # Split the text into chunks of approximately 500 words each
+        chunks = textwrap.wrap(user_input, 500)
+        
+        # Summarize each chunk
+        for chunk in chunks:
+            summarized = summarizer(chunk, max_length=130, min_length=30, do_sample=False)
+            summarized_text += summarized[0]['summary_text'] + " "
+
         st.text_area('Summarized Text', summarized_text, height=200)