flask_10.py

# import joblib
from joblib import load

# sample tweet text
text = ["Virat Kohli, AB de Villiers set to auction their 'Green Day' kits from 2016 IPL match to raise funds"]

# load the saved pipleine model
pipeline = load("text_classification.joblib")

# predict on the sample tweet text
pipeline.predict(text)
## >> array([0])