Create app.py

app.py

@@ -0,0 +1,26 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load summarization model from Hugging Face
+summarizer = pipeline("summarization", model="google/pegasus-xsum")
+
+# Streamlit UI
+def main():
+    st.title("Text Summarization App")
+
+    # User input
+    user_input = st.text_area("Enter your text for summarization:")
+
+    if st.button("Generate Summary"):
+        if user_input:
+            # Perform summarization
+            summary = summarizer(user_input, max_length=150, min_length=50, length_penalty=2.0, num_beams=4)[0]['summary_text']
+
+            # Display result
+            st.write("Summary:")
+            st.write(summary)
+        else:
+            st.warning("Please enter some text for summarization.")
+
+if __name__ == "__main__":
+    main()