File size: 897 Bytes
845c287 b464613 2d23981 845c287 b464613 2d23981 b464613 845c287 2d23981 | 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 | from typing import Dict, List, Any
# from transformers import GPT2Tokenizer
# from model import GPT
import pipeline
class EndpointHandler():
def __init__(self, path=""):
# Preload all the elements you are going to need at inference.
# model = GPT.from_pretrained(path)
# tokenizer = GPT2Tokenizer.from_pretrained('gpt2')
# self.pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer)
a = 1
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
"""
data args:
inputs (:obj: `str` | `PIL.Image` | `np.array`)
kwargs
Return:
A :obj:`list` | `dict`: will be serialized and returned
"""
inputs = data.pop("inputs", data)
pipeline.start = inputs
output = pipeline.infer()
# isinstance(output,str)
return {"Ans": output} |