Update app.py

app.py

@@ -1,14 +1,13 @@
 import streamlit as st
 from transformers import pipeline
 
-st.title('BERT Summarizer')
-uploaded_file = st.file_uploader("Choose a text file", type="txt")
+st.title('Hugging Face BERT Summarizer')
+uploaded_file = st.file_uploader("Choose a .txt file", type="txt")
 
 if uploaded_file is not None:
-    data = uploaded_file.read().decode('utf-8')
-    data = data.replace('\n', '')
-    data = data.replace("\ufeff", "")
-
-    summarizer = pipeline("summarization")
-    summarized = summarizer(data[:1024]) # BERT has a max token limit
-    st.write(summarized[0]['summary_text'])
+    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']
+        st.text_area('Summarized Text', summarized_text, height=200)