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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: 'Bridge', 1: 'CDP', 2: 'Cross-chain', 3: 'DEX', 4: 'Derivatives', 5: 'Insurance', 6: 'Lending', 7: 'NFT Lending', 8: 'Other', 9: 'Staking', 10: 'Synthetics'} |
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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)] |
