handler.py

from typing import Dict, List, Any
from setfit import SetFitModel


class EndpointHandler:
    def __init__(self, path=""):
        # load model
        self.model = SetFitModel.from_pretrained(path)
        # ag_news id to label mapping
        self.id2label = {0: "No Hate", 1: "Hate Speech"}

    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
        """
         data args:
              inputs (:obj: `str`)
        Return:
              A :obj:`list` | `dict`: will be serialized and returned
        """
        # get inputs
        inputs = data.pop("inputs", data)
        if isinstance(inputs, str):
            inputs = [inputs]

        # run normal prediction
        scores = self.model.predict_proba(inputs)[0]

        return [{"label": self.id2label[i], "score": score.item()} for i, score in enumerate(scores)]