"""Kokoro TTS Plugin for the TTS Plugin Architecture. This plugin provides a Kokoro-based TTS engine that implements the Plugin API contract. It wraps the existing Kokoro backend in the new Engine/EngineSession architecture. Exports: - PLUGIN_MANIFEST: PluginManifest - MODEL_REQUIREMENTS: list[ModelManifest] - create_engine: Factory function """ from __future__ import annotations from pathlib import Path from typing import Any from abogen.tts_plugin.engine import Engine from abogen.tts_plugin.host_context import HostContext from abogen.tts_plugin.manifest import ( AudioFormatManifest, EngineManifest, ModelManifest, ParameterManifest, PluginManifest, RequirementManifest, VoiceSourceManifest, ) from abogen.tts_plugin.types import EngineConfig from .engine import KokoroEngine def _load_kpipeline() -> Any: """Lazy-load Kokoro dependencies.""" from kokoro import KPipeline # type: ignore[import-not-found] return KPipeline PLUGIN_MANIFEST = PluginManifest( id="kokoro", name="Kokoro", version="0.9.4", api_version="1.0", description="Kokoro TTS engine - high quality multilingual text-to-speech", author="Kokoro Team", capabilities=("voice_list",), requires=RequirementManifest( internet=False, ), engine=EngineManifest( voiceSources=( VoiceSourceManifest( id="builtin", name="Built-in Voices", type="list", config={"voices": "See listVoices()"}, ), ), parameters=( ParameterManifest( id="speed", name="Speed", description="Speech speed multiplier", type="float", default=1.0, min=0.5, max=2.0, step=0.1, ), ), audioFormats=( AudioFormatManifest(mime="audio/wav", extension="wav"), ), ), ) MODEL_REQUIREMENTS: list[ModelManifest] = [] def create_engine( context: HostContext, model_path: Path | None, config: EngineConfig, ) -> Engine: """Create a Kokoro engine instance. This function is the plugin entry point. It must be atomic: succeed fully or raise EngineError and clean up. Args: context: Host services (config dir, logger, http client). model_path: Resolved model path, or None for default. config: Engine initialization settings (device, etc.). Returns: A fully initialized KokoroEngine instance. Raises: EngineError: On failure. Cleans up partially created resources. """ try: KPipeline = _load_kpipeline() # Determine repo_id from model_path or use default repo_id = "hexgrad/Kokoro-82M" if model_path is not None: # If a specific model path is provided, use it as repo_id repo_id = str(model_path) pipeline = KPipeline( lang_code="a", # Default language code repo_id=repo_id, device=config.device, ) engine = KokoroEngine(pipeline, lang_code="a") return engine except Exception as e: from abogen.tts_plugin.errors import EngineError as EngineErrorClass raise EngineErrorClass(f"Failed to create Kokoro engine: {e}") from e