f586f930b6
- Implemented REST API for 105+ language translation - Used Facebook M2M100 model (Apache 2.0 License - Commercial use allowed) - Supports any-to-any translation between 105 languages - Major languages: English, Chinese, Spanish, Arabic, Russian, Japanese, Korean, etc. - Southeast Asian: Malay, Indonesian, Thai, Vietnamese, Tagalog, Burmese, Khmer, Lao - South Asian: Bengali, Hindi, Urdu, Tamil, Telugu, Marathi, Gujarati, etc. - European: German, French, Italian, Spanish, Portuguese, Russian, etc. - African: Swahili, Amharic, Hausa, Igbo, Yoruba, Zulu, Xhosa - And many more languages Tech Stack: - FastAPI for REST API - Transformers (Hugging Face) for ML model - PyTorch for inference - Docker for containerization - M2M100 418M parameter model Features: - Health check endpoint - Supported languages listing - Dynamic language validation - Model caching for performance - GPU support (auto-detection) - CORS enabled for web clients 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
28 lines
658 B
Python
28 lines
658 B
Python
from pydantic_settings import BaseSettings
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from typing import List
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class Settings(BaseSettings):
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"""Application settings"""
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# API Configuration
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api_host: str = "0.0.0.0"
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api_port: int = 8000
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api_title: str = "Malaysian Language Translation API"
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api_version: str = "1.0.0"
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api_description: str = "API for translating between Malay and English using neural machine translation"
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# Model Configuration
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model_cache_dir: str = "./models"
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max_length: int = 512
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# CORS Settings
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allowed_origins: List[str] = ["*"]
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class Config:
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env_file = ".env"
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case_sensitive = False
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settings = Settings()
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