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
549 B
Docker
28 lines
549 B
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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g++ \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better caching
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY . .
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# Create directory for model cache
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RUN mkdir -p /app/models
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# Expose port
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EXPOSE 8000
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# Run the application
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CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]
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