File size: 909 Bytes
9fb6a3e b0d1779 9fb6a3e b0d1779 9fb6a3e b0d1779 ef6e2ec 9fb6a3e 0864e65 9fb6a3e b0d1779 9fb6a3e b0d1779 9fb6a3e a00e348 b0d1779 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 |
from typing import Dict, List, Any
from setfit import SetFitModel
class EndpointHandler:
def __init__(self, path=""):
# load model
self.model = SetFitModel.from_pretrained(path)
self.id2label = {0: 'Art', 1: 'Collectibles', 2: 'Domains', 3: 'Games', 4: 'Land', 5: 'Metaverse', 6: 'Music', 7: 'Other', 8: 'PFPs', 9: 'Sports'}
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]
return [{"label": self.id2label[i], "score": score.item()} for i, score in enumerate(scores)]
|