class AIModel:
    def __init__(self, model_name, model):
        self.model_name = model_name
        self.model = model

    def analyze(self, input_data):
        return self.model(input_data)

class ModelManager:
    def __init__(self):
        self.models = {}

    def load_model(self, model_name, model):
        self.models[model_name] = AIModel(model_name, model)

    def update_model(self, model_name, model):
        if model_name in self.models:
            self.models[model_name].model = model

    def enable_model(self, model_name):
        if model_name in self.models:
            self.models[model_name].enabled = True

    def disable_model(self, model_name):
        if model_name in self.models:
            self.models[model_name].enabled = False

    def analyze_with_model(self, model_name, input_data):
        if model_name in self.models and self.models[model_name].enabled:
            return self.models[model_name].analyze(input_data)
        else:
            return "Model not found or not enabled."

    def get_model_names(self):
        return list(self.models.keys())

    def is_model_enabled(self, model_name):
        if model_name in self.models:
            return self.models[model_name].enabled
        else:
            return False