def get_labels_custom(self, model_name):
        """
        Hashes every label of a specific model.
        :param model_name: Model name
        :return: A list of mode's labels with their hashed values
        """
        if not self.model_loaded(model_name):
            self.load_model(model_name)
        if re.match(r'[0-9a-fA-F]{8}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{12}', model_name,
                    flags=0):
            for key, value in self.models_hash_dict.items():
                if value == model_name:
                    model_name = key
        models = self.list_models()
        if model_name not in self.labels_hash_dict:
            model_dict = {}
            for label in self.models_dict[model_name].labels:
                model_dict[label] = str(uuid.uuid4())
            self.labels_hash_dict[model_name] = model_dict
        for key in list(self.labels_hash_dict):
            if key not in models:
                del self.labels_hash_dict[key]
        return self.labels_hash_dict[model_name]

        Hashes every label of a specific model.
        :param model_name: Model name
        :return: A list of mode's labels with their hashed values
        
inference_api/src/main/deep_learning_service.py