Minor fix

app.py

@@ -86,9 +86,9 @@ def inference(input_img, is_grad_cam=True, transparency = 0.5, target_layer_numb
     # Pick the top n predictions
     top_n_confidences = dict(list(sorted_confidences.items())[:top_predictions])
 
-    if (is_misclassified_images != cache_dict["num_misclassified_images"] or
+    if (is_misclassified_images != cache_dict["is_misclassified_images"] or
          num_misclassified_images != cache_dict["num_misclassified_images"]):
-        cache_dict["num_misclassified_images"] = is_misclassified_images
+        cache_dict["is_misclassified_images"] = is_misclassified_images
         cache_dict["num_misclassified_images"] = num_misclassified_images
         if is_misclassified_images:
             # Get the misclassified data from test dataset