Dockerfile

# AI Agency Pro - Full Lifecycle Dockerfile
# Optimized for GPU inference with transformers

# Stage 1: Base with CUDA support
FROM nvidia/cuda:12.1-runtime-ubuntu22.04 AS base

# Prevent interactive prompts
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.11 \
    python3.11-venv \
    python3-pip \
    git \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Install uv (fastest Python package manager)
RUN curl -LsSf https://astral.sh/uv/install.sh | sh
ENV PATH="/root/.cargo/bin:$PATH"

# Stage 2: Dependencies
FROM base AS dependencies

WORKDIR /app

# Copy dependency files
COPY pyproject.toml requirements.txt ./

# Install dependencies with uv (10x faster than pip)
RUN uv pip install --system -r requirements.txt

# Stage 3: Application
FROM dependencies AS application

# Copy application code
COPY . .

# Create non-root user for security
RUN useradd -m -u 1000 appuser
RUN chown -R appuser:appuser /app
USER appuser

# Expose Gradio port
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:7860/ || exit 1

# Environment variables for production
ENV GRADIO_SERVER_NAME="0.0.0.0"
ENV GRADIO_SERVER_PORT=7860
ENV TRANSFORMERS_CACHE="/app/.cache/huggingface"
ENV HF_HOME="/app/.cache/huggingface"

# Run the application
CMD ["python3", "app.py"]

# Labels for container metadata
LABEL org.opencontainers.image.title="AI Agency Pro"
LABEL org.opencontainers.image.description="Multi-Agent AI System with GPU Inference"
LABEL org.opencontainers.image.version="1.0.0"
LABEL org.opencontainers.image.source="https://huggingface.co/spaces/dlynch90/AI-Agency-Pro"