Added app.py

app.py

@@ -0,0 +1,30 @@
+import streamlit as st
+from transformers import pipeline
+
+
+st.title("Text Summarization App |PEGASUS-Large|) ")
+
+# Create a text input widget
+text_input = st.text_area(label="Input Text", height=200)
+
+# Define a function to generate the summary
+def generate_summary(text):
+    summarizer = pipeline("summarization", model="sabre-code/pegasus-large-cnn-dailymail")
+    generated_summary = summarizer(text)
+    
+    
+    # Return the generated summary
+    return generated_summary
+
+# Add a button to trigger the generation of the summary
+generate_button = st.button(label="Generate Summary")
+if generate_button:
+    # Call the generate_summary function when the button is clicked
+    generated_summary = generate_summary(text_input.value)
+    st.success("Summary Generated!")
+else:
+    st.warning("Please enter some text in the input field above.")
+
+# Display the generated summary
+st.markdown("# Summary")
+st.code(generated_summary)