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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)}"
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