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2386347 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | # ==============================================================================
# RetinaFlow Production Dockerfile
# Optimized for AWS (ECS / App Runner) & Azure (Container Apps / App Service)
# ==============================================================================
FROM python:3.11-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
PYTHONIOENCODING=utf-8 \
GRADIO_SERVER_NAME="0.0.0.0" \
GRADIO_SERVER_PORT=7860
# Install system dependencies for image processing and ONNX
RUN apt-get update && apt-get install -y --no-install-recommends \
curl \
ca-certificates \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Set working directory
WORKDIR /app
# Install Python dependencies (cached layer)
COPY requirements-docker.txt .
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements-docker.txt
# Copy application code, trained ONNX models, and sample assets
COPY app.py .
COPY models/ ./models/
COPY assets/ ./assets/
# Security best practice: Create non-root user
RUN useradd -m -u 1000 appuser && \
chown -R appuser:appuser /app
USER appuser
# Expose the Gradio service port
EXPOSE 7860
# Container healthcheck for AWS/Azure orchestration
HEALTHCHECK --interval=30s --timeout=10s --start-period=20s --retries=3 \
CMD curl -f http://localhost:7860/ || exit 1
# Launch RetinaFlow
CMD ["python", "app.py"]
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