mirror of
https://github.com/jamiepine/voicebox.git
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Jamie Pine
0070c04bcf
Route MLX load, inference, unload, reset, cache cleanup, and shutdown through a single worker. Add affinity and concurrent-unload regression coverage.\n\nVerified: 17 related backend tests; frontend CI; cargo check.
34 lines
775 B
Python
34 lines
775 B
Python
"""
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TTS inference module - delegates to backend abstraction layer.
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"""
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import io
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import numpy as np
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import soundfile as sf
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from ..backends import TTSBackend, get_tts_backend, unload_backend
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def get_tts_model() -> TTSBackend:
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"""
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Get TTS backend instance (MLX or PyTorch based on platform).
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Returns:
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TTS backend instance
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"""
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return get_tts_backend()
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async def unload_tts_model():
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"""Unload TTS model to free memory, serialized onto the MLX worker."""
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await unload_backend(get_tts_backend())
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def audio_to_wav_bytes(audio: np.ndarray, sample_rate: int) -> bytes:
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"""Convert audio array to WAV bytes."""
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buffer = io.BytesIO()
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sf.write(buffer, audio, sample_rate, format="WAV")
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buffer.seek(0)
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return buffer.read()
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