Sentiment of Kanye's last tweet

how_ye_feeling.py

import tweepy
from dotenv import load_dotenv
from nltk.tokenize import sent_tokenize
from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
import os
from os.path import join

load_dotenv(join(os.getcwd(), '.env'))
CONSUMER_TOKEN = os.environ['CONSUMER_TOKEN']
CONSUMER_SECRET = os.environ['CONSUMER_SECRET']
ACCESS_TOKEN_KEY = os.environ['ACCESS_TOKEN_KEY']
ACCESS_TOKEN_SECRET = os.environ['ACCESS_TOKEN_SECRET']

print(CONSUMER_TOKEN)
print(CONSUMER_SECRET)
print(ACCESS_TOKEN_KEY)
print(ACCESS_TOKEN_SECRET)

def scrape_twitter():
    """ Returns JSON of Kanye's last text tweet"""
    auth = tweepy.OAuthHandler(CONSUMER_TOKEN, CONSUMER_SECRET)
    auth.set_access_token(ACCESS_TOKEN_KEY, ACCESS_TOKEN_SECRET)
    api = tweepy.API(auth)
    new_ye_tweets = api.user_timeline(screen_name='kanyewest', tweet_mode= "extended", count=25)
    for tw in new_ye_tweets:
    	if len(tw._json['full_text'].split()) > 1:
    		return tw._json

def sent_analyze(tweet):
	""" Returns sentiment score of tweet [-1,1]"""
	analyzer = SentimentIntensityAnalyzer()
	sent_score = analyzer.polarity_scores(tweet['full_text'])['compound']
	return sent_score

def process_tweet():
	""" return object for publishing"""
	new_ye_tweet = scrape_twitter()
	score = sent_analyze(new_ye_tweet)
	return {
		'tweet_body': new_ye_tweet['full_text'],
		'id': new_ye_tweet['id'],
		'sent_score': score
	}
def main ():
	print(process_tweet())
if __name__ == '__main__':
	main()