Update cnnrnn.py

cnnrnn.py

@@ -35,7 +35,8 @@ from nltk.translate.bleu_score import sentence_bleu
 def getModel(image):
     embedding_matrix_vocab = np.load('my_embedding_matrix.npy')
 
-    input1 = Input(shape=(image.shape[1]), name='Image_input')
+    input_shape = (image.shape[1],) 
+    input1 = Input(shape=input_shape, name='Image_input')
     dense1 = Dense(256, kernel_initializer=tf.keras.initializers.glorot_uniform(seed = 56), name='dense_encoder')(input1)
 
     input2 = Input(shape=(153), name='Text_Input')