Update app.py

app.py

@@ -1,22 +1,18 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the summarization model
 summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
 
-# Define the function to summarize text
 def summarize_text(text):
-    summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
-    return summary[0]["summary_text"]
+    summary = summarizer(text, max_length=100, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
 
-# Create the Gradio interface
 iface = gr.Interface(
     fn=summarize_text,
-    inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize..."),
+    inputs=gr.Textbox(lines=5, placeholder="Enter text to summarize..."),
     outputs="text",
     title="Text Summarization Chatbot",
     description="Enter a long text passage, and the chatbot will summarize it for you using the 'facebook/bart-large-cnn' model.",
-    theme="compact"
 )
 
 # Launch the app