from nltk import word_tokenize

train_docs = ['this is text number one', 'another text that i have']
train_docs = ' '.join(map(str, train_docs))

tokens = word_tokenize(train_docs)
voc = {v: k for k, v in dict(enumerate(tokens)).items()}