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from typing import Dict, List, Any
from setfit import SetFitModel
import json
class EndpointHandler:
def __init__(self, path=""):
# load model
self.model = SetFitModel.from_pretrained(path)
with open('/repository/label_config.json', 'r') as file:
raw = json.load(file)
self.id2label = {int(k): v for k, v in raw.items()}
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
"""
data args:
inputs (:obj: `str`)
Return:
A :obj:`list` | `dict`: will be serialized and returned
"""
# get inputs
inputs = data.pop("inputs", data)
if isinstance(inputs, str):
inputs = [inputs]
# run normal prediction
scores = self.model.predict_proba(inputs)[0]
results = [
{"label": self.id2label[i], "score": score.item()}
for i, score in enumerate(scores)
]
max_element = max(results, key=lambda x: x['score'])
return max_element
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