Modification of the STT structure
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+26
-15
@@ -177,27 +177,38 @@ def _wav_to_float32(wav_bytes: bytes) -> tuple[np.ndarray, int]:
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return audio, rate
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def _resample_audio(audio: np.ndarray, src_rate: int, dst_rate: int = 16000) -> np.ndarray:
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if src_rate == dst_rate or audio.size == 0:
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return audio.astype(np.float32, copy=False)
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duration = audio.shape[0] / float(src_rate)
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new_len = max(1, int(round(duration * dst_rate)))
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x_old = np.linspace(0.0, 1.0, num=audio.shape[0], endpoint=False)
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x_new = np.linspace(0.0, 1.0, num=new_len, endpoint=False)
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return np.interp(x_new, x_old, audio).astype(np.float32)
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def _ensure_16k(wav_bytes: bytes) -> np.ndarray:
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audio, rate = _wav_to_float32(wav_bytes)
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if rate == 16000:
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return audio
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# Prefer ffmpeg when available; otherwise pure-numpy resample (browser often sends 44.1/48 kHz)
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ffmpeg = shutil.which("ffmpeg")
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if not ffmpeg:
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raise HTTPException(status_code=400, detail="نرخ نمونهبرداری صوت پشتیبانی نشد")
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with tempfile.TemporaryDirectory() as tmp:
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src = Path(tmp) / "in.wav"
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dst = Path(tmp) / "out.wav"
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src.write_bytes(wav_bytes)
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result = subprocess.run(
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[ffmpeg, "-y", "-i", str(src), "-ac", "1", "-ar", "16000", "-f", "wav", str(dst)],
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capture_output=True,
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check=False,
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)
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if result.returncode != 0 or not dst.exists():
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raise HTTPException(status_code=400, detail="نرمالسازی صوت ناموفق بود")
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audio, _ = _wav_to_float32(dst.read_bytes())
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return audio
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if ffmpeg:
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with tempfile.TemporaryDirectory() as tmp:
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src = Path(tmp) / "in.wav"
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dst = Path(tmp) / "out.wav"
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src.write_bytes(wav_bytes)
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result = subprocess.run(
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[ffmpeg, "-y", "-i", str(src), "-ac", "1", "-ar", "16000", "-f", "wav", str(dst)],
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capture_output=True,
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check=False,
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)
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if result.returncode == 0 and dst.exists():
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audio, _ = _wav_to_float32(dst.read_bytes())
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return audio
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return _resample_audio(audio, rate, 16000)
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def _transcribe_local(wav_bytes: bytes) -> str:
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