| from typing import Dict, List, Any | |
| from transformers import ClapModel, ClapProcessor | |
| import gc | |
| class EndpointHandler: | |
| def __init__(self, path=""): | |
| model_name = "laion/larger_clap_general" | |
| self.model = ClapModel.from_pretrained(model_name) | |
| self.processor = ClapProcessor.from_pretrained(model_name) | |
| 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 | |
| """ | |
| print(type(data)) | |
| query = data['inputs'] | |
| text_inputs = self.processor(text=query, return_tensors="pt") | |
| text_embed = self.model.get_text_features(**text_inputs)[0] | |
| gc.collect() | |
| return text_embed.detach().numpy() |