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from typing import Dict, List, Any |
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from setfit import SetFitModel |
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class EndpointHandler: |
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def __init__(self, path=""): |
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self.model = SetFitModel.from_pretrained(path) |
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self.id2label = {0: "World", 1: "Sports", 2: "Business", 3: "Sci/Tech"} |
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def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]: |
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""" |
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data args: |
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inputs (:obj: `str`) |
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Return: |
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A :obj:`list` | `dict`: will be serialized and returned |
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""" |
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inputs = data.pop("inputs", data) |
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if isinstance(inputs, str): |
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inputs = [inputs] |
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scores = self.model.predict_proba(inputs)[0] |
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return [{"label": self.id2label[i], "score": score.item()} for i, score in enumerate(scores)] |
