Update app.py

app.py

@@ -1,19 +1,15 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the summarization pipeline with the BART model
 pipe = pipeline("summarization", model="facebook/bart-large-cnn")
 
 def summarize_text(text):
-    # Use the summarization pipeline to summarize the input text
     summary = pipe(text, max_length=150, min_length=40, do_sample=False)
     return summary[0]['summary_text']
 
-# Gradio interface setup
 title = "Text Summarization with BART"
 description = "Provide a block of text, and the BART model will summarize it."
 
-# Create Gradio interface
 interface = gr.Interface(
     fn=summarize_text,
     inputs=gr.Textbox(lines=10, label="Input Text"),
@@ -22,6 +18,5 @@ interface = gr.Interface(
     description=description,
 )
 
-# Launch the Gradio app
 if __name__ == "__main__":
     interface.launch()