from transformers import PretrainedConfig


mp = {0:'sad',1:'joy',2:'love',3:'anger',4:'fear',5:'surprise'}

class SentimentConfig(PretrainedConfig):
    model_type = "SententenceTransformerSentimentClassifier"

    def __init__(self, embedding_model: str="all-MiniLM-L6-v2", class_map: dict=mp, h1: int=44, h2: int=46, **kwargs):
        self.embedding_model = embedding_model
        self.class_map = class_map
        self.h1 = h1
        self.h2 = h2

        super().__init__(**kwargs)