Create app.py

app.py

@@ -0,0 +1,22 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load summarization model
+summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+
+# Streamlit App
+st.title("Summarization App")
+
+# Input text area
+article = st.text_area("Enter the article:", ARTICLE, height=300)
+
+if st.button("Generate Summary"):
+    # Generate summary using the summarizer pipeline
+    summary_result = summarizer(article, max_length=130, min_length=30, do_sample=False)
+
+    # Extract the summary text
+    summary_text = summary_result[0]['summary_text']
+
+    # Display the summary
+    st.subheader("Summary:")
+    st.write(summary_text)