Update app.py

app.py

@@ -6,8 +6,11 @@ image_classifier = pipeline("image-classification")
 
 # Define a function for image classification using Gradio
 def classify_image(image):
+    print(f"Received image: {image}")
     result = image_classifier(image)
-    return result[0]['label']  # Return the label of the top prediction
+    print(f"Classification result: {result}")
+    return result[0]['label']
+
 
 # Create a Gradio interface
 iface = gr.Interface(fn=classify_image, inputs="image", outputs="label")