Dockerfile

# Use an Ubuntu-based image with Python 3.10
FROM python:3.10-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libsm6 \
    libxext6 \
    git \
    && rm -rf /var/lib/apt/lists/*

# Install UV for faster dependency installation
RUN pip install uv

# Copy requirements and install
COPY requirements.txt .
RUN uv pip install --system -r requirements.txt

RUN pip install -q "optimum-intel[openvino,diffusers]@git+https://github.com/huggingface/optimum-intel.git" "transformers>=4.33" --extra-index-url https://download.pytorch.org/whl/cpu

# Create cache directories with write permissions
RUN mkdir -p /app/cache/huggingface /app/cache/openvino /app/matplotlib_cache /app/openvino_cache \
    && chmod -R 777 /app/cache /app/matplotlib_cache /app/openvino_cache

# Set environment variables for cache directories
ENV HF_HOME=/app/cache/huggingface
ENV MPLCONFIGDIR=/app/matplotlib_cache
ENV OPENVINO_TELEMETRY_DIR=/app/openvino_cache

# Pre-download base SDXL model
RUN python -c "from optimum.intel.openvino import OVStableDiffusionPipeline; \
    OVStableDiffusionPipeline.from_pretrained('rupeshs/hyper-sd-sdxl-1-step-openvino-int8', ov_config={'CACHE_DIR': '/app/cache/openvino'})"


# Copy application code
COPY app.py .

# Expose port (default 5000, configurable via PORT env variable)
ENV PORT=7860
EXPOSE $PORT

# Command to run the Flask app
CMD ["python", "app.py"]