Update app.py

app.py

@@ -29,13 +29,13 @@ model.eval()
 def predict(im):
     
     def list_shape(lst):
-    if not isinstance(lst, list):
-        return []
-    if not lst:
-        return [0]
-    shapes = [list_shape(sublist) for sublist in lst]
-    max_shape = max(shapes, key=len)
-    return [len(lst)] + [max(dimensions[i] if i < len(dimensions) else 0 for dimensions in shapes) for i in range(len(max_shape))]
+        if not isinstance(lst, list):
+            return []
+        if not lst:
+            return [0]
+        shapes = [list_shape(sublist) for sublist in lst]
+        max_shape = max(shapes, key=len)
+        return [len(lst)] + [max(dimensions[i] if i < len(dimensions) else 0 for dimensions in shapes) for i in range(len(max_shape))]
 
     
     print(list_shape(im))