Quick and Dirty Word cloud in Python!

wordcloud.py

import tweepy
import time
import matplotlib.pyplot as py
from wordcloud import WordCloud,STOPWORDS
from PIL import Image
import numpy as np
import argparse

parser = argparse.ArgumentParser()
parser.add_argument("-t", "--twittername", help="Twitter handle to use", required=True)
parser.add_argument("-m", "--mask", help="Masking Image to use", required=True)
parser.add_argument("-o", "--output", help="Output File Name", required=True)
args = parser.parse_args()
config = vars(args)

consumer_key = "<KEY>" #Enter your key as string
consumer_secret = "<KEY>"
access_token = "<KEY>"
access_token_secret = "<KEY>"

screenname = args.twittername

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)

api = tweepy.API(auth)
tweets = api.user_timeline(screen_name=screenname,count=5000)

tempwordfile = "file.txt"

maskingfilename = args.mask

wordcloudfile = args.output

f= open (tempwordfile,"w+")
for info in tweets:
   f.write(str(info.text))
f.write("\n")
f.close()

f= open (tempwordfile,"r")
words=f.read()
f.close()

stopwords = set(STOPWORDS)
stopwords.add('https')
stopwords.add('t')
stopwords.add('co')
stopwords.add('https://t.co')

twitter_mask= np.array(Image.open(maskingfilename)) #sitr.jpg image name
wCloud= WordCloud(
background_color='black',
mask=twitter_mask,
contour_width=1,
contour_color='steelblue',
stopwords=stopwords
).generate(words)
wCloud.to_file(wordcloudfile)

To use run as follows
$ python3 wordcloud.py -t TWITTERHANDLE -m MASKINGIMAGE -o FILENAME_FOR_Output

python3 wordcloud.py -t elonmusk -m muskface.png -o muskwordcloud.png