Update app.py

app.py

@@ -50,13 +50,13 @@ def inference(input_img, transparency = 0.5, target_layer_number = -1, top_predi
     top_n_confidences = dict(list(sorted_confidences.items())[:top_predictions])
 
 
-    files = os.listdir('./misclassfied_images/')
+    files = os.listdir('./misclassified_images/')
 
     # Plot the misclassified images
     fig = plt.figure(figsize=(12, 5))
     for i in range(miss_classified_images_count):
         sub = fig.add_subplot(2, 5, i+1)
-        npimg = Image.open('./misclassfied_images/' + files[i])
+        npimg = Image.open('./misclassified_images/' + files[i])
 
         # Use regex to extract target and predicted classes
         match = re.search(r'Target_(\w+)_Pred_(\w+)_\d+.jpeg', files[i])