Update app.py

app.py

@@ -1,24 +1,17 @@
 import streamlit as st
 from transformers import pipeline
 
-# Load summarizer model
-@st.cache_resource
-def load_summarizer():
-    return pipeline("summarization", model="facebook/bart-large-cnn")
+# Set page title
+st.set_page_config(page_title="Text Summarizer", layout="centered")
 
-summarizer = load_summarizer()
-
-# Streamlit UI
-st.title("📚 Text Summarizer App")
-st.markdown("Enter or paste long text below. The app will summarize it for you.")
-
-input_text = st.text_area("Enter text to summarize", height=300)
+# Title and input
+st.title("📝 Text Summarizer using BART")
+text = st.text_area("Enter the text you want to summarize:", height=300)
 
+# When button clicked
 if st.button("Summarize"):
-    if input_text:
-        with st.spinner("Summarizing..."):
-            summary = summarizer(input_text, max_length=150, min_length=40, do_sample=False)
-            st.subheader("Summary:")
-            st.success(summary[0]['summary_text'])
-    else:
-        st.warning("Please enter some text.")
+    with st.spinner("Generating summary..."):
+        summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+        summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+        st.success("Summary:")
+        st.write(summary[0]['summary_text'])