# utils.py (Helper Functions)
import joblib

def load_model():
    """
    Loads the trained model from file.
    """    
    model = joblib.load("models/clf_svm.joblib")
    return model

def model_predict(features):
    """
    Predicts using the loaded model.
    """
    model = load_model()
    prediction = model.predict([features])  # Fixed: Changed email to features
    # prediction = 1 if prediction == 1 else -1
    return prediction