Dockerfile

# Use a small Python base image suitable for production
FROM python:3.11-slim

# Prevent Python from writing .pyc files and enable unbuffered logs
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    PORT=5000 \
    FLASK_DEBUG=0

# Set work directory
WORKDIR /app

# Install system dependencies (kept minimal for slim image) and Python requirements
COPY requirements.txt ./
RUN apt-get update \
    && apt-get install -y --no-install-recommends build-essential \
    && rm -rf /var/lib/apt/lists/* \
    && pip install --upgrade pip \
    && pip install --no-cache-dir -r requirements.txt

# Copy application code, configuration, frontend, and model artifacts
COPY backend ./backend
COPY training ./training
COPY frontend ./frontend
COPY configs ./configs
COPY models ./models
COPY data ./data
COPY README.md ./

# Expose the Flask port
EXPOSE 5000

# Default command to run the Flask inference service with Gunicorn
CMD ["gunicorn", "-b", "0.0.0.0:5000", "backend.app:app"]