| from typing import Dict, List, Any | |
| import faster_whisper | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| self.model = faster_whisper.WhisperModel('ivrit-ai/faster-whisper-v2-d3-e3', device='cuda') | |
| 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 | |
| """ | |
| # get inputs | |
| #inputs = data.pop("inputs",data) | |
| #date = data.pop("date", None) | |
| # check if date exists and if it is a holiday | |
| #if date is not None and date in self.holidays: | |
| # return [{"label": "happy", "score": 1}] | |
| # run normal prediction | |
| #prediction = self.pipeline(inputs) | |
| return {'text' : 'bender is great!'} | |