qopscribe/speech_service/transcriber.py

from transformers import pipeline

class WhisperTranscriber:
    def __init__(self, model_name: str, device: str = "cuda"):
        print("Loading Whisper model...")
        self.pipe = pipeline(
            task="automatic-speech-recognition",
            model=model_name,
            tokenizer=model_name,
            device=0 if device == "cuda" else -1
        )
        print("Whisper model loaded.")

    def transcribe(self, audio_file: str) -> str:
        result = self.pipe(audio_file, batch_size=4, return_timestamps=True)
        return result.get("text", "").strip()