Converting sequences back to text

sequence_to_text.py

from tensorflow.keras.preprocessing.text import Tokenizer

#Let's add custom sentences 
sentences = [
    "One plus one is two!",
    "Two plus two is four!"
]

for num_w in range(1,7):
    myTokenizer = Tokenizer(num_words=num_w)
    myTokenizer.fit_on_texts(sentences)
    print("\n",num_w,": ",myTokenizer.texts_to_sequences(sentences))
    seqs = myTokenizer.texts_to_sequences(sentences)
    
    #A Better Way 
    print('   : ',[x for x in myTokenizer.sequences_to_texts_generator(seqs)])