Update app.py

app.py

@@ -56,7 +56,7 @@ def inference(input_img, num_gradcam_images=1, target_layer_number=-1, transpare
         fig = plt.figure(figsize=(12, 5))
         for i in range(num_misclassified_images):
             sub = fig.add_subplot(2, 5, i+1)
-            npimg = Image.open('./misclassfied_images/' + files[i])
+            npimg = Image.open('./misclassified/' + files[i])
 
             # Use regex to extract target and predicted classes
             match = re.search(r'Target_(\w+)_Pred_(\w+)_\d+.jpeg', files[i])