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from typing import Dict, List, Any |
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from setfit import SetFitModel |
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import json |
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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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with open('/repository/label_config.json', 'r') as file: |
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raw = json.load(file) |
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self.id2label = {int(k): v for k, v in raw.items()} |
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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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results = [ |
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{"label": self.id2label[i], "score": score.item()} |
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for i, score in enumerate(scores) |
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] |
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max_element = max(results, key=lambda x: x['score']) |
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return max_element |
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