NLP using python NLTK Frequency Distribution

frequencyDist.py

import nltk
import urllib.request
from bs4 import BeautifulSoup
from nltk.corpus import stopwords

response =  urllib.request.urlopen('https://en.wikipedia.org/wiki/SpaceX')
html = response.read()
soup = BeautifulSoup(html,'html5lib')
text = soup.get_text(strip = True)
tokens = [t for t in text.split()]

sr= stopwords.words('english')
clean_tokens = tokens[:]

for token in tokens:
    if token in stopwords.words('english'):
        clean_tokens.remove(token)

freq = nltk.FreqDist(clean_tokens)
for key,val in freq.items():
    print(str(key) + ':' + str(val))

freq.plot(20, cumulative=False)