Dockerfile.intel

# Use Intel base image
FROM intel/oneapi-basekit

# Set the working directory in the container
WORKDIR /app

# Install Python and system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    python3.11 \
    python3-pip \
    build-essential \
    libssl-dev \
    libffi-dev \
    libjpeg-dev \
    libpng-dev \
    libsentencepiece-dev \
    curl \
    gcc \
    g++ \
    cmake \
    && rm -rf /var/lib/apt/lists/*

# Set Python 3.11 as default
RUN update-alternatives --install /usr/bin/python python /usr/bin/python3.11 1
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1

# Upgrade pip and install base packages
RUN pip install --upgrade pip setuptools wheel

# Set PYTHONPATH correctly
ENV PYTHONPATH=/app

# Set environment variables
ENV PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
ENV PYTHONUNBUFFERED=1

# Install Intel Extension for PyTorch
RUN pip install intel-extension-for-pytorch==2.0.110+xpu

# Copy the requirements file into the container
COPY requirements_intel.txt .

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

# Copy the rest of the application code
COPY . .

# Set up the environment and logging
RUN python -m pip install --upgrade pip && \
    python -c "from config.env_config import setup_environment; setup_environment()"
RUN python -c "from pathlib import Path; from config.logging_config import setup_logging; setup_logging(Path('flux_pipeline.log'))"

# Expose Gradio application port
EXPOSE 7860

# Healthcheck
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:7860/ || exit 1

# Set the command to run the application
CMD ["python3", "-u", "gui.py", "--host", "0.0.0.0", "--port", "7860", "--share"]