Dockerfile

# Fashion MNIST Classifier - Production Dockerfile
FROM python:3.11-slim

# Set working directory
WORKDIR /app

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first (for Docker cache optimization)
COPY requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code
COPY . .

# Create models directory
RUN mkdir -p models

# Expose ports
EXPOSE 8000 8501

# Default command (API server)
CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "8000"]