predict.py

def fake_news(sample_news):
  sample_news = re.sub(pattern='[^a-zA-Z]',repl=' ', string=sample_news)
  sample_news = sample_news.lower()
  sample_news_words = sample_news.split()
  sample_news_words = [word for word in sample_news_words if not word in set(stopwords.words('english'))]
  ps = PorterStemmer()
  final_news = [ps.stem(word) for word in sample_news_words]
  final_news = ' '.join(final_news)

  temp = cv.transform([final_news]).toarray()
  return classifier.predict(temp)

# For generating random integer
from random import randint

# Predicting values
row = randint(0,news_title.shape[0]-1)
sample_news = news_title[row]
print('News: {}'.format(sample_news))
if fake_news(sample_news):
  print('Prediction: This is a FAKE news!')
else:
  print('Prediction: This is a REAL news.')