Update app.py

app.py

@@ -15,11 +15,7 @@ def predict_image(img):
     return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(learn.dls.vocab))}
 
 # Create a Gradio interface
-interface = gr.Interface(fn=predict_image,
-                         inputs=gr.inputs.Image(type="pil"),
-                         outputs=gr.outputs.Label(num_top_classes=3),
-                         title="Image Classifier",
-                         description="Upload an image to classify.")
+gr.Interface(fn=classify_image,inputs=gr.Image(type=“pil”),outputs=gr.Label())
 
 if __name__ == "__main__":
     interface.launch()