inference.py

import pickle

from pipeline import FeatureExtraction

with open('nn_model.pkl', 'rb') as file:
    log_model = pickle.load(file)

extractor = FeatureExtraction()

def predict(text: str, model = log_model):
    features = extractor.fit(text)
    data = list(features.values())[1:] # 0: is the review itself

    result = model.predict([data])[0]

    return result


if __name__ == '__main__':
    while True:
        review = input("Input your review: ")

        if review.lower() == 'bye': break

        print(f"Your review is {predict(model=log_model, text=review)}!")