Update app.py

app.py

@@ -28,9 +28,9 @@ def predict_image(image):
         predictions = model.predict(image_array)
         decoded_predictions = decode_predictions(predictions, top=3)[0]
 
-        # Format predictions as a dictionary
-        results = {label: f"{confidence * 100:.2f}%" for _, label, confidence in decoded_predictions}
-        return results
+        # Format predictions as a list of tuples (label, confidence)
+        results = [(label, float(confidence)) for _, label, confidence in decoded_predictions]
+        return dict(results)
 
     except Exception as e:
         return {"Error": str(e)}