MnistStudio / Dockerfile
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# Use an official Python runtime as the base image
FROM python:3.9-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 the requirements first to leverage Docker cache
COPY requirements.txt .
# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt
# Copy the application files
COPY . .
# Create necessary directories and ensure proper permissions
RUN mkdir -p data/ scripts/training/models \
&& chmod -R 755 static \
&& chmod -R 755 templates \
&& chown -R nobody:nogroup static templates
# Make port 8000 available (FastAPI default port)
EXPOSE 8000
# Set environment variable for FastAPI to listen on 0.0.0.0
ENV HOST=0.0.0.0
ENV PORT=8000
# Switch to non-root user
USER nobody
# Command to run the application using uvicorn
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]