How to use the underthesea.model_fetcher.UTSModel function in underthesea

def classify(X):
    global classifier

    if not classifier:
        if os.path.exists(model_path):
            classifier = TextClassifier.load(model_path)
        else:
            logger.error(
                f"Could not load model at {model_path}.\n"
                f"Download model with \"underthesea download {UTSModel.tc_general.value}\".")
            sys.exit(1)

    sentence = Sentence(X)
    classifier.predict(sentence)
    labels = sentence.labels
    return labels

def sentiment(text):
    global classifier

    if not classifier:
        if os.path.exists(model_path):
            classifier = TextClassifier.load(model_path)
        else:
            logger.error(
                f"Could not load model at {model_path}.\n"
                f"Download model with \"underthesea download {UTSModel.sa_bank.value}\".")
            sys.exit(1)
    sentence = Sentence(text)
    classifier.predict(sentence)
    labels = sentence.labels
    return [label.value for label in labels]

def classify(X):
    global classifier

    if not classifier:
        if os.path.exists(model_path):
            classifier = TextClassifier.load(model_path)
        else:
            logger.error(
                f"Could not load model at {model_path}.\n"
                f"Download model with \"underthesea download {UTSModel.tc_bank.value}\".")
            sys.exit(1)
    sentence = Sentence(X)
    classifier.predict(sentence)
    labels = sentence.labels
    if not labels:
        return None
    return [label.value for label in labels]

def get_model_path(model):
        if model == UTSModel.tc_bank:
            return Path(CACHE_ROOT) / "models" / "tc_bank"

        if model == UTSModel.tc_general:
            return Path(CACHE_ROOT) / "models" / "tc_general"

        if model == UTSModel.sa_general:
            return Path(CACHE_ROOT) / "models" / "sa_general"

        if model == UTSModel.sa_bank:
            return Path(CACHE_ROOT) / "models" / "sa_bank"

def get_model_path(model):
        if model == UTSModel.tc_bank:
            return Path(CACHE_ROOT) / "models" / "tc_bank"

        if model == UTSModel.tc_general:
            return Path(CACHE_ROOT) / "models" / "tc_general"

        if model == UTSModel.sa_general:
            return Path(CACHE_ROOT) / "models" / "sa_general"

        if model == UTSModel.sa_bank:
            return Path(CACHE_ROOT) / "models" / "sa_bank"

def get_model_path(model):
        if model == UTSModel.tc_bank:
            return Path(CACHE_ROOT) / "models" / "tc_bank"

        if model == UTSModel.tc_general:
            return Path(CACHE_ROOT) / "models" / "tc_general"

        if model == UTSModel.sa_general:
            return Path(CACHE_ROOT) / "models" / "sa_general"

        if model == UTSModel.sa_bank:
            return Path(CACHE_ROOT) / "models" / "sa_bank"

def get_model_path(model):
        if model == UTSModel.tc_bank:
            return Path(CACHE_ROOT) / "models" / "tc_bank"

        if model == UTSModel.tc_general:
            return Path(CACHE_ROOT) / "models" / "tc_general"

        if model == UTSModel.sa_general:
            return Path(CACHE_ROOT) / "models" / "sa_general"

        if model == UTSModel.sa_bank:
            return Path(CACHE_ROOT) / "models" / "sa_bank"