Update app.py

app.py

@@ -26,8 +26,8 @@ model = tf.keras.models.load_model(
 # 3.prediction function (predict())
 
 def load_and_prep_imgg(img : Image.Image, img_shape=224, scale=True):
-    if not isinstance(filename, str):
-        raise ValueError("The filename must be a string representing the file path.")
+    # if not isinstance(filename, str):
+    #     raise ValueError("The filename must be a string representing the file path.")
     # img = tf.io.read_file(filename)
     # img = tf.io.decode_image(img, channels=3)
     # img = tf.image.resize(img, size=[img_shape, img_shape])