Dockerfile

# Stable Python version compatible with ML libraries
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Prevent Python from writing pyc files & enable logs
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Install system dependencies (important for numpy, tensorflow, opencv, etc.)
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    git \
    libgl1 \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# Upgrade pip (important for tensorflow installs)
RUN pip install --no-cache-dir --upgrade pip

# Copy only requirements first (better caching)
COPY requirements.txt .

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

# Copy application code
COPY src/ ./src/

# Expose Streamlit default port
EXPOSE 8501

# Run Streamlit app
CMD ["streamlit", "run", "src/app.py", "--server.port=8501", "--server.address=0.0.0.0"]