Update app.py

app.py

@@ -8,13 +8,19 @@ def load_model():
     return learn
 
 learn = load_model()
+
 # Define prediction function
 def predict_image(img):
     pred, pred_idx, probs = learn.predict(img)
     return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(learn.dls.vocab))}
 
-# Create a Gradio interface
-gr.Interface(fn=predict_image,inputs=gr.Image(type= "pil"),outputs=gr.Label())
+# Ensure this matches the function name used in the Interface
+interface = gr.Interface(fn=predict_image,
+                         inputs=gr.Image(type="pil"),  # Corrected to use gr.Image
+                         outputs=gr.Label(num_top_classes=3),
+                         title="Image Classifier",
+                         description="Upload an image to classify.")
 
+# Use the defined 'interface' variable to launch the Gradio interface
 if __name__ == "__main__":
     interface.launch()