create app.py

app.py

@@ -0,0 +1,26 @@
+import streamlit as st
+from transformers import pipeline
+
+gen_kwargs = {"length_penalty": 0.8, "num_beams":8, "max_length": 128}
+
+def main():
+    st.title("Text Summarizer App")
+
+    # Get user input
+    user_input = st.text_area("Enter text to summarize:")
+
+    # Button to trigger summarization
+    if st.button("Summarize"):
+        if user_input:
+            # Summarize the user input using the model
+            
+            pipe = pipeline("summarization", model='ErnestBeckham/flan-t5-base-news-summarization', tokenizer='ErnestBeckham/flan-t5-base-news-summarization')
+
+            # Display the summarized output
+            st.subheader("Summary:")
+            st.write(pipe(user_input, **gen_kwargs)[0]["summary_text"])
+        else:
+            st.warning("Please enter text before summarizing.")
+
+if __name__ == "__main__":
+    main()