Dockerfile.v2.CUDA.HPC

# 📚 Base image with CUDA for ML
FROM nvidia/cuda:12.2.0-base-ubuntu22.04

# 🛠️ Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3.11-dev \
    python3-pip \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# 🔗 Set Python 3.11 as default
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1 \
    && update-alternatives --install /usr/bin/pip pip /usr/bin/pip3 1

# 📂 Set working directory
WORKDIR /home/user/app

# 🐍 Install Python dependencies
COPY ./requirements.txt .
RUN pip install --no-cache-dir --upgrade pip \
    && pip install --no-cache-dir -r requirements.txt \
    && pip install --no-cache-dir \
    https://huggingface.co/spacy/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl \
    https://huggingface.co/spacy/en_core_web_lg/resolve/main/en_core_web_lg-any-py3-none-any.whl

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

# 📦 Copy application code
COPY --chown=user . .

# 🌐 Expose port
EXPOSE 7860

# 🩺 Healthcheck
HEALTHCHECK CMD curl --fail http://localhost:7860/_stcore/health || exit 1

# 🚀 Run application
CMD ["python3", "-m", "streamlit", "run", "presidio_streamlit.py", "--server.port=7860", "--server.address=0.0.0.0"]