import_model.py

# Load existing vectorizer/model to make predictions
count_vectorizer = joblib.load("../supplementary/count_vectorizer")
data_ = data["Message"].tolist()
x_test = count_vectorizer.transform(data_)

model = joblib.load("../supplementary/game_classifier")
y_predicted = model.predict(x_test)

with data_process_output:
    print(f"Predicted total {len(y_predicted)} values... Done.")
    print(f"Mapping predictions...")