padding_sequences.py

rom tensorflow.keras.preprocessing.sequence import pad_sequences

sentences = ['I love my dog',
             'I love my cat',
             'you love my dog!',
             'Do you think my dog is amazing?',
             ]

tokenizer = Tokenizer(num_words = 100,oov_token="<OOV>")
tokenizer.fit_on_texts(sentences)
word_index = tokenizer.word_index
sequences = tokenizer.texts_to_sequences(sentences)

# padding sequences 
padded = pad_sequences(sequences)

print(word_index)
print(sequences)
print(padded)

First line, needs a 'f'rom tensorflow...