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https://github.com/remsky/Kokoro-FastAPI.git
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ce0ef3534a
- Set up FastAPI application with TTS service - Define API endpoints for TTS generation and voice listing - Implement Pydantic models for request and response schemas - Add Dockerfile and docker-compose.yml for containerization - Include example usage and benchmark results in README
23 lines
537 B
Python
23 lines
537 B
Python
from pydantic_settings import BaseSettings
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class Settings(BaseSettings):
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# API Settings
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api_title: str = "Kokoro TTS API"
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api_description: str = "API for text-to-speech generation using Kokoro"
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api_version: str = "1.0.0"
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host: str = "0.0.0.0"
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port: int = 8880
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# TTS Settings
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output_dir: str = "output"
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default_voice: str = "af"
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model_path: str = "kokoro-v0_19.pth"
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voices_dir: str = "voices"
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sample_rate: int = 24000
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class Config:
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env_file = ".env"
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settings = Settings()
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