Update app.py

app.py

@@ -75,7 +75,7 @@ def show_incorrect(num_examples=10, show_cam=True, target_layer=-1, transparency
         image = np.asarray(Image.open(f'missed_examples/{index}.jpg'))
         output_image, confidence = image_classifier(image, show_cam=show_cam, target_layer=target_layer, transparency=transparency)
         predicted = list(confidence)[0]
-        result.append((output_image, f"{row['ground_truths']} / {predicted}"))
+        result.append((output_image, f"{row['ground_truths']} / {row['predicted_vals']}"))
     return result