Update app.py

app.py

@@ -15,18 +15,24 @@ def predict(img):
     pred, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-#Example images for demonstration
-examples = ['Image1.jpg, Image3.jpg, image5.jpg, Image5.webp']
+# Example images for demonstration
+examples = [
+    "Image1.jpg",
+    "Image3.jpg",
+    "Image5.jpg",
+    "Image5.webp"
+]
 
 # Create the Gradio interface
 interface = gr.Interface(
     fn=predict,
     inputs=gr.Image(),
-    outputs=gr.Label(examples,num_top_classes=3)
+    outputs=gr.Label(num_top_classes=3),
+    examples=examples  # Move examples here
 )
 
 # Enable the queue to handle POST requests
 interface.queue(api_open=True)
 
 # Launch the interface
-interface.launch()
+interface.launch()