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- Add .gitattributes with text=auto eol=lf for all text files - Renormalize all files in index to LF line endings - Fixes massive whitespace-only diffs between main and feature branch
126 lines
3.9 KiB
Python
126 lines
3.9 KiB
Python
"""SuperTonic Engine adapter for the TTS Plugin Architecture.
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This module adapts the existing SuperTonic backend to the new Engine/EngineSession
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protocol. It wraps the SupertonicPipeline without modifying it.
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"""
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from __future__ import annotations
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import io
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import logging
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from typing import Any
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import numpy as np
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from abogen.tts_plugin.capabilities import VoiceLister
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from abogen.tts_plugin.engine import Engine, EngineSession
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from abogen.tts_plugin.errors import EngineError
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from abogen.tts_plugin.manifest import VoiceManifest
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from abogen.tts_plugin.types import (
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AudioFormat,
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Duration,
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SynthesisRequest,
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SynthesizedAudio,
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)
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logger = logging.getLogger(__name__)
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# Sample rate for SuperTonic audio
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_SUPERTONIC_SAMPLE_RATE = 24000
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class SuperTonicSession:
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"""EngineSession implementation for SuperTonic.
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Owns mutable execution state for synthesis.
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NOT thread-safe.
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"""
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def __init__(self, pipeline: Any) -> None:
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self._pipeline = pipeline
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self._disposed = False
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def synthesize(self, request: SynthesisRequest) -> SynthesizedAudio:
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"""Synthesize audio from text using SuperTonic."""
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if self._disposed:
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raise EngineError("Session disposed")
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try:
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import soundfile as sf
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voice = request.voice.key
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speed = float(request.parameters.values.get("speed", 1.0))
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total_steps = request.parameters.values.get("total_steps", None)
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split_pattern = request.parameters.values.get("split_pattern", None)
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if total_steps is not None:
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total_steps = int(total_steps)
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audio_parts: list[np.ndarray] = []
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for segment in self._pipeline(
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request.text,
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voice=voice,
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speed=speed,
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split_pattern=split_pattern,
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total_steps=total_steps,
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):
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audio_parts.append(segment.audio)
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if not audio_parts:
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return SynthesizedAudio(
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data=b"",
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format=AudioFormat(mime="audio/wav", extension="wav"),
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duration=Duration(seconds=0.0),
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)
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combined = np.concatenate(audio_parts).astype("float32", copy=False)
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buf = io.BytesIO()
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sf.write(buf, combined, self._pipeline.sample_rate, format="WAV")
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audio_bytes = buf.getvalue()
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duration_seconds = len(combined) / self._pipeline.sample_rate
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return SynthesizedAudio(
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data=audio_bytes,
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format=AudioFormat(mime="audio/wav", extension="wav"),
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duration=Duration(seconds=duration_seconds),
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)
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except EngineError:
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raise
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except Exception as e:
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raise EngineError(f"Synthesis failed: {e}") from e
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def dispose(self) -> None:
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"""Release session resources. Idempotent."""
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self._disposed = True
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class SuperTonicEngine:
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"""Engine implementation for SuperTonic.
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Factory for SuperTonicSession instances. Stateless and thread-safe.
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"""
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def __init__(self, pipeline: Any) -> None:
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self._pipeline = pipeline
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self._disposed = False
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def createSession(self) -> SuperTonicSession:
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"""Create a new SuperTonicSession."""
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if self._disposed:
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raise EngineError("Engine disposed")
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return SuperTonicSession(self._pipeline)
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def dispose(self) -> None:
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"""Release engine resources. Idempotent."""
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self._disposed = True
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def listVoices(self, sourceId: str) -> list[VoiceManifest]:
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"""List available SuperTonic voices. Implements VoiceLister capability.
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Note: Static voice catalog is declared in plugin manifest.
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This method is retained for VoiceLister interface compliance.
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"""
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if self._disposed:
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raise EngineError("Engine disposed")
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return []
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