Update app.py

app.py

@@ -1,20 +1,20 @@
-# Use a pipeline as a high-level helper
 from transformers import pipeline
 import gradio as gr 
+
 pipe = pipeline("summarization", model="ayoubkirouane/T5-4-Summarization")
-def summarization(text) :
-  return pipe(text)[0]["summary_text"]
+
+def summarization(text):
+    return pipe(text)[0]["summary_text"]
+
 # Create a Gradio interface
 iface = gr.Interface(
     fn=summarization,
-    inputs=gr.Textbox(prompt="Input Text"),
-    outputs=gr.Textbox(prompt="Generated Summary") , 
-    allow_flagging=False , 
-    title="T5-4-Summarization" , 
+    inputs=gr.Textbox(label="Input Text"),
+    outputs=gr.Textbox(label="Generated Summary"),
+    allow_flagging=False,
+    title="T5-4-Summarization",
     description="This app generates a summary of the input text using T5 fine-tuned model.",
- 
-    
 )
 
 # Launch the Gradio app
-iface.launch(debug=True)
+iface.launch(debug=True)