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>
15 lines
336 B
Python
15 lines
336 B
Python
"""
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Main entry point for running the Malaysian Translation API server
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"""
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import uvicorn
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from app.config import settings
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if __name__ == "__main__":
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uvicorn.run(
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"app.main:app",
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host=settings.api_host,
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port=settings.api_port,
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reload=True, # Set to False in production
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log_level="info"
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)
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