File size: 771 Bytes
fe8b90f 5ad414b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
from typing import Dict, List, Any
from transformers import pipeline
import torch
class EndpointHandler():
def __init__(self, path=""):
device = 0 if torch.cuda.is_available() else "cpu"
self.pipe = pipeline(
task="automatic-speech-recognition",
model=path,
chunk_length_s=30,
device=device,
)
self.pipe.model.config.forced_decoder_ids = self.pipe.tokenizer.get_decoder_prompt_ids(language="turkish", task="transcribe")
def __call__(self, data: Dict[str, Any]) -> List[Dict[str, Any]]:
inputs = data.pop("inputs",data)
prediction = self.pipe(inputs, return_timestamps=False, generate_kwargs={"language": "turkish", "task": "transcribe"})
return prediction
|