Update app.py

app.py

@@ -1,6 +1,5 @@
 
 
-# Step 2: Import libraries
 import gradio as gr
 from transformers import pipeline
 
@@ -18,6 +17,14 @@ def summarize(text, model_name):
     return summary[0]['summary_text']
 
 # Step 4: Create the Gradio interface
+description = """
+Summarize text using various models from Hugging Face:
+- BART (facebook/bart-large-cnn)
+- T5 (t5-small)
+- Pegasus (google/pegasus-xsum)
+- DistilBART (sshleifer/distilbart-cnn-12-6)
+"""
+
 iface = gr.Interface(
     fn=summarize,
     inputs=[
@@ -26,7 +33,7 @@ iface = gr.Interface(
     ],
     outputs="textbox",
     title="Text Summarizer",
-    description="Summarize text using various models from Hugging Face"
+    description=description
 )
 
 # Step 5: Launch the interface