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Prepare project for Hugging Face Space deployment - Add app.py with Gradio interface - Update requirements.txt with torch dependencies - Configure LFS for large files (models, data) - Update README with comprehensive documentation
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| # Vehicle Diagnostics Agent Dockerfile | |
| FROM python:3.10-slim | |
| # Set working directory | |
| WORKDIR /app | |
| # Install system dependencies | |
| RUN apt-get update && apt-get install -y \ | |
| build-essential \ | |
| curl \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy requirements | |
| COPY requirements.txt . | |
| # Install Python dependencies | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Install PyTorch (CPU version for smaller image) | |
| RUN pip install --no-cache-dir torch torchvision --index-url https://download.pytorch.org/whl/cpu | |
| # Copy application code | |
| COPY src/ ./src/ | |
| COPY data/ ./data/ | |
| # Expose ports | |
| EXPOSE 8000 7860 | |
| # Set environment variables | |
| ENV PYTHONUNBUFFERED=1 | |
| ENV PYTHONPATH=/app | |
| # Default command (can be overridden) | |
| CMD ["python", "src/api/main.py"] | |