| from typing import Dict, List, Any | |
| from bark import SAMPLE_RATE, generate_audio, preload_models | |
| class EndpointHandler(): | |
| def __init__(self, path=""): | |
| preload_models() | |
| 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 | |
| text_prompt = data.pop("inputs",data) | |
| # run normal prediction | |
| speech_array = generate_audio(text_prompt) | |
| return speech_array | |