Dockerfile

# # Use a minimal Python base image
# FROM python:3.9-slim

# # Set working directory inside the container
# WORKDIR /app

# # Copy requirements first for caching
# COPY requirements.txt .

# # Install dependencies
# RUN pip install --upgrade pip && \
#     pip install -r requirements.txt

# # Copy all files into the container
# COPY . .

# # Expose Streamlit's default port
# EXPOSE 8501

# # Run the Streamlit app
# # This passes the NVIDIA_API_KEY from the Hugging Face Space Secrets
# CMD ["streamlit", "run", "data_analysis_agent.py", \
#      "--server.port=8501", \
#      "--server.address=0.0.0.0", \
#      "--server.enableXsrfProtection=false"]


FROM python:3.9-slim
RUN useradd -m -u 1000 user
USER user
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH
WORKDIR $HOME/app
COPY --chown=user . $HOME/app
# Run apt-get update and install as root
USER root
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    git \
    && rm -rf /var/lib/apt/lists/*
USER user
# COPY requirements.txt ./
# COPY src/ ./src/
COPY . .
RUN pip3 install -r requirements.txt
EXPOSE 8501
HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
ENTRYPOINT ["streamlit", "run", "data_analysis_agent.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]