flask_7.py

# define the stages of the pipeline
pipeline = Pipeline(steps= [('tfidf', TfidfVectorizer(lowercase=True,
                                                      max_features=1000,
                                                      stop_words= ENGLISH_STOP_WORDS)),
                            ('model', LogisticRegression())])

# fit the pipeline model with the training data                            
pipeline.fit(train.tweet, train.label)