handler.py

from typing import Dict, List, Any
from optimum.pipeline import pipeline
from transformers import AutoTokenizer
from optimum import ORTModelForSeq2SeqLM


class EndpointHandler():
    def __init__(self, path=""):
        tokenizer = AutoTokenizer.from_pretrained(path)
        model = ORTModelForSeq2SeqLM.from_pretrained(path)
        self.pipeline = pipeline("summarization",model=model, tokenizer=tokenizer)

    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)

        # run normal prediction
        return self.pipeline(inputs)