# Dockerfile
# Use Python 3.12 for guaranteed PyTorch compatibility
FROM python:3.12-slim

# Set the working directory inside the container
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*

# Copy the requirements file FIRST to leverage Docker caching
COPY requirements.txt ./

# Install Python dependencies (added --no-cache-dir to keep the image small)
RUN pip3 install --no-cache-dir -r requirements.txt

# Copy the rest of your project files (app.py, models/, frontend/, etc.)
COPY . .

# Expose Streamlit's default port
EXPOSE 8501

# Healthcheck to ensure Streamlit is running
HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health

# Boot the Streamlit app
ENTRYPOINT ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]