Update app.py

app.py

@@ -50,7 +50,7 @@ def inference(input_img, num_gradcam_images=1, target_layer_number=-1, transpare
     top_n_confidences = dict(list(sorted_confidences.items())[:num_top_classes])
 
     if show_misclassified:
-        files = os.listdir('./misclassfied/')
+        files = os.listdir('./misclassified/')
 
         # Plot the misclassified images
         fig = plt.figure(figsize=(12, 5))