|
from typing import Dict, List, Any |
|
from transformers import pipeline |
|
|
|
class EndpointHandler(): |
|
def __init__(self, path=""): |
|
self.pipeline = pipeline("automatic-speech-recognition", |
|
model=path, |
|
chunk_length_s = 30 , |
|
stride_length_s = (3, 0), |
|
generate_kwargs = {"language":"pt"} , |
|
device = 0 |
|
) |
|
|
|
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 |
|
""" |
|
|
|
inputs = data.pop("inputs",data) |
|
|
|
prediction = self.pipeline(inputs) |
|
return prediction |