import pickle


def load_classifier(model_path, vec_path):
    """
    Loads classifier from subfolder .
    
    Parameters
    ----------
    model_path:	        String
                        The path where the classifier is stored
    vec_path:	        String
                        The path where the vectorizer is stored

    Returns
    ----------
    model:		        Model of implemented Classifiers
            			Trained Model
    vec:        	    sklearn CountVectorizer or TfidfVectorizer
                    	CountVectorizer or TfidfVectorizer fit and transformed for training data
    """

    model = pickle.load(open(model_path, "rb"))
    vec = pickle.load(open(vec_path, "rb"))

    return model, vec