Update model.py

model.py

@@ -15,7 +15,8 @@ import keras
 from keras import layers
 from keras.applications import efficientnet
 from keras.layers import TextVectorization
-
+import nltk
+from nltk.translate.bleu_score import corpus_bleu
 keras.utils.set_random_seed(111)
 
 
@@ -221,8 +222,7 @@ class TransformerDecoderBlock(layers.Layer):
         return tf.tile(mask, mult)
 
 
-import nltk
-from nltk.translate.bleu_score import corpus_bleu
+
 class ImageCaptioningModel(keras.Model):
     def __init__(
         self,