silly madlibs with NLTK tokenizer

silly_lib.py

from nltk.tokenize import sent_tokenize, word_tokenize
from nltk.tokenize.treebank import TreebankWordDetokenizer
import argparse

#python sillylib.py --input bed button kill be black open clothes also
# inspired by https://towardsdatascience.com/a-i-plays-mad-libs-and-the-results-are-terrifying-78fa44e7f04e

parser = argparse.ArgumentParser()
parser.add_argument('--input',nargs='+',default=['bed','button','kill','be','black','open','clothes','even'])  
parser.add_argument('--person',default='AI')
args = parser.parse_args()
text = (
    "Today, every student has a computer small enough to fit into "+\
    "his _. He can solve any math problem by simply pushing the "+\
    "computer's little _. Computers can add, multiply, divide, and "+\
    "_. They can also _ better than a human. Some computers are "+\
    "_. Others have an _ screen that shows all kinds of _ and _ "+\
    "figures. "
)
tt=word_tokenize(text)
lis=args.input
#ailis=['bed','button','kill','be','black','open','clothes','even']
ii=0
for i in range(0,len(tt)):
	if tt[i] is '_':
		tt[i]=lis[ii]
		ii=ii+1
print(args.person+' says: '+TreebankWordDetokenizer().detokenize(tt))