#!/usr/bin/env python3
# Placeholder: transcribe con python (openai-whisper) si lo instalas.
# Uso: python3 whisper_py.py /ruta/audio.webm
import sys, os
audio = sys.argv[1] if len(sys.argv)>1 else None
if not audio:
  print("")
  sys.exit(0)

try:
  import whisper
except Exception:
  print("")
  sys.exit(0)

model = whisper.load_model("base")
res = model.transcribe(audio, language="es")
print((res.get("text") or "").strip())