DockerFile

# Use a Python version compatible with your packages
FROM python:3.12-slim

# Set working directory
WORKDIR /app

# Install system dependencies needed for pandas, numpy, scikit-learn, xgboost
RUN apt-get update && apt-get install -y \
    build-essential \
    gfortran \
    libopenblas-dev \
    liblapack-dev \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first (to leverage Docker caching)
COPY requirements.txt .

# Upgrade pip and install Python dependencies
RUN python3 -m pip install --upgrade pip
RUN pip install --no-cache-dir -r requirements.txt

# Add non-root user
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

# Set working directory to user home
WORKDIR $HOME/app

# Copy application code
COPY --chown=user . $HOME/app

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