from faster_whisper import WhisperModel
import os

# Globalt model för att undvika återladdning
model = None

def get_model():
    global model
    if model is None:
        model = WhisperModel("base", device="cpu", compute_type="int8")
    return model

def transcribe_audio(audio_path: str) -> str:
    """Transkribera ljudfil till text"""
    try:
        if not os.path.exists(audio_path):
            return f"Audio file not found: {audio_path}"
        
        model = get_model()
        segments, info = model.transcribe(audio_path, beam_size=5)
        
        transcription = " ".join(segment.text for segment in segments)
        return transcription.strip() or "No transcription found."
    
    except Exception as e:
        return f"Error transcribing audio: {str(e)}"