from pathlib import Path
from transformers import pipeline
from config import ASR_MODEL

_asr_pipe = None

def get_asr():
    global _asr_pipe
    if _asr_pipe is None:
        _asr_pipe = pipeline(
            "automatic-speech-recognition",
            model=ASR_MODEL
        )
    return _asr_pipe

def transcribe(wav_path: Path) -> str:
    pipe = get_asr()
    out = pipe(str(wav_path))
    return out["text"] if isinstance(out, dict) else str(out)