Update app.py

app.py

@@ -31,14 +31,14 @@ def predict_image(image):
     except Exception as e:
         return [("Error", str(e))]
 
-# Create the Gradio interface
+# Create the Gradio interface with gr.Dataframe for displaying predictions
 interface = gr.Interface(
     fn=predict_image,
     inputs=gr.Image(type="pil"),  # Accepts an image input
-    outputs=gr.Label(num_top_classes=2),  # Shows top 5 predictions with confidence
+    outputs=gr.Dataframe(headers=["Label", "Confidence"], type="array"),  # Shows top 5 predictions as a table
     title="Image Classifier",
     description="Upload an image, and the model will predict what's in the image with higher accuracy.",
-    
+    examples=["dog.jpg", "cat.jpg", "building.jpg", "tree.jpg"],  # Example images for testing
 )
 
 # Launch the Gradio app