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joelb/custom-handler-tutorial

sourceHugging Faceapache-2.0updated 4y agoView on Hugging Face
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handler.py31 linesDownload Raw Back to root
1from typing import Dict, List, Any2from transformers import pipeline3import holidays4 5 6class EndpointHandler:7    def __init__(self, path=""):8        self.pipeline = pipeline("text-classification", model=path)9        self.holidays = holidays.US()10 11    def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:12        """13         data args:14              inputs (:obj: `str`)15              date (:obj: `str`)16        Return:17              A :obj:`list` | `dict`: will be serialized and returned18        """19        # get inputs20        inputs = data.pop("inputs", data)21        # get additional date field22        date = data.pop("date", None)23 24        # check if date exists and if it is a holiday25        if date is not None and date in self.holidays:26            return [{"label": "happy", "score": 1}]27 28        # run normal prediction29        prediction = self.pipeline(inputs)30        return prediction31