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from typing import Dict, List, Any
from transformers import pipeline
class EndpointHandler():
def __init__(self, path=""):
self.pipeline = pipeline("text-classification",model=path)
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
"""
data args:
inputs (:obj: `str`)
date (:obj: `str`)
Return:
A :obj:`list` | `dict`: will be serialized and returned
"""
# get inputs
inputs = data.pop("inputs",data)
date = data.pop("date", None)
# check if date exists and if it is a holiday
if date is None:
return [{"label": "happy", "score": 1}]
# run normal prediction
prediction = self.pipeline(inputs)
return prediction
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