| from typing import Dict, List, Any | |
| from transformers import AutoModel, AutoTokenizer | |
| class EndpointHandler: | |
| def __init__(self, path="."): | |
| self.tokenizer = AutoTokenizer.from_pretrained(path) | |
| self.model = AutoModel.from_pretrained(path, trust_remote_code=True) | |
| self.model.eval() | |
| 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 | |
| """ | |
| # return self.pipeline(data['inputs']) | |
| return self.model.predict([data['inputs']], self.tokenizer, output_style='json') | |