Error in Model.predict while obtaining weights of layers

[harshgeek4coder]

In your mentioned Notebook Number 6 titled - LSTM_to_KNN.ipynb , the following code snippet has some error, since it expects two inputs (two text sequences, but you are providing only one input)

Saving the weights for the target and candidate products
In [ ]:
m2 = Model(inputs=siamese_lstm.input, outputs=siamese_lstm.get_layer('flatten1').output)
target_product_weights = m2.predict(target_products)
In [ ]:
m2 = Model(inputs=siamese_lstm.input, outputs=siamese_lstm.get_layer('flatten1').output)
candidate_product_weights = m2.predict(candidate_products)

Error -

 ValueError: Layer model_10 expects 2 input(s), but it received 1 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(None, 30) dtype=int32>]