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we used pickle and saved the twitter data in a variable(hard disk) if that helps you. Just use pickle in your model like this:
import pickle
filename = 'finalized_model.sav'
pickle.dump(LR_model, open(filename, 'wb'))
pickl={'vectorizer':tf_vector,'model':LR_model,'clean':clean()}
pickle.dump(pickl,open('models'+".p","wb"))
and then put this in your django apps.py:
path = os.path.join(settings.MODELS, 'models.p')
with open(path, 'rb') as pickled:
data = pickle.load(pickled)
model = data['model']
vectorizer = data['vectorizer']
given that you have declared your model in setting.py. then fetch twitter data use it in views.py
Source:stackexchange.com