Update app.py

app.py

@@ -16,13 +16,13 @@ def predict(img):
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 #Example images for demonstration
-#examples = ['image.jpg']
+examples = ['Image1.jpg, Image3.jpg, image5.jpg, Image5.webp']
 
 # Create the Gradio interface
 interface = gr.Interface(
     fn=predict,
     inputs=gr.Image(),
-    outputs=gr.Label(num_top_classes=3)
+    outputs=gr.Label(examples,num_top_classes=3)
 )
 
 # Enable the queue to handle POST requests