| from typing import Dict, List, Any | |
| from transformers import pipeline | |
| import holidays | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| self.pipeline = pipeline("text-classification", model=path) | |
| self.holidays = holidays.US() | |
| def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: | |
| inputs = data.pop("inputs", "") | |
| date = data.pop("date", None) | |
| # 根据日期判断是否是假期 | |
| if date and date in self.holidays: | |
| return [{"label": "happy", "score": 1}] | |
| prediction = self.pipeline(inputs) | |
| return prediction | |