Dockerfile

# Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
# Dockerfile for Face Swap Video API - GPU Optimized, API Only (No Gradio)

FROM python:3.10-slim

# Install system dependencies including build tools and libraries
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    libgthread-2.0-0 \
    libgtk-3-0 \
    libavcodec-dev \
    libavformat-dev \
    libswscale-dev \
    libv4l-dev \
    libxvidcore-dev \
    libx264-dev \
    libjpeg-dev \
    libpng-dev \
    libtiff-dev \
    libopenblas-dev \
    libomp-dev \
    python3-dev \
    git \
    build-essential \
    gcc \
    g++ \
    cmake \
    pkg-config \
    curl \
    wget \
    ca-certificates \
    && rm -rf /var/lib/apt/lists/*

# Create user for Hugging Face Spaces (following HF Spaces best practices)
RUN useradd -m -u 1000 user

# Set working directory
WORKDIR /app

# Upgrade pip and install build tools
RUN pip install --no-cache-dir --upgrade pip setuptools wheel

# Install core API dependencies first
RUN pip install --no-cache-dir \
    fastapi>=0.115.2 \
    uvicorn[standard]==0.24.0 \
    python-multipart>=0.0.18 \
    motor==3.3.2 \
    pymongo==4.6.0 \
    python-dotenv==1.0.0 \
    dnspython==2.4.2 \
    firebase-admin>=6.1.0

# Install numpy first (required by other packages) - use compatible version
RUN pip install --no-cache-dir "numpy>=1.24.0,<1.27.0"

# Install utility dependencies (install these before insightface as they might be dependencies)
RUN pip install --no-cache-dir \
    psutil==5.9.5 \
    tqdm==4.65.0 \
    Pillow \
    imageio-ffmpeg \
    huggingface_hub>=0.23.0

# Install OpenCV first (needed by insightface)
RUN pip install --no-cache-dir opencv-python-headless

# Install ONNX Runtime - Use CPU version for build compatibility
# GPU will be detected automatically at runtime if available
# CPU version works for both CPU and GPU, runtime will use GPU if CUDA is available
RUN pip install --no-cache-dir onnxruntime || \
    pip install --no-cache-dir "onnxruntime>=1.16.0" || \
    pip install --no-cache-dir onnxruntime-cpu || \
    pip install --no-cache-dir "onnxruntime-cpu>=1.16.0" || \
    (echo "ERROR: All ONNX Runtime installation attempts failed" && exit 1)

# Verify ONNX Runtime installation
RUN python -c "import onnxruntime; print('ONNX Runtime version:', onnxruntime.__version__)" || \
    (echo "ERROR: ONNX Runtime installation verification failed" && exit 1)

# Install moviepy after other dependencies
RUN pip install --no-cache-dir moviepy==1.0.3

# Install insightface - install from git directly for better compatibility
RUN pip install --no-cache-dir --no-build-isolation git+https://github.com/deepinsight/insightface.git || \
    pip install --no-cache-dir insightface || \
    pip install --no-cache-dir "insightface>=0.7.0" || \
    (echo "ERROR: Failed to install insightface" && exit 1)

# Verify insightface installation
RUN python -c "import insightface; print('InsightFace installed successfully')" || \
    (echo "ERROR: InsightFace verification failed" && exit 1)

# Copy only essential application files (before switching user)
COPY --chown=user:user api_server.py /app/
COPY --chown=user:user firebase_app_check.py /app/
COPY --chown=user:user DeepFakeAI/ /app/DeepFakeAI/
# Ensure inswapper_128.onnx is baked into the image if present in repo
COPY --chown=user:user DeepFakeAI/.assets/models/inswapper_128.onnx /app/DeepFakeAI/.assets/models/inswapper_128.onnx

# Create upload directories with proper permissions before switching to user
RUN mkdir -p /app/uploads/source_images /app/uploads/target_videos /app/uploads/result_videos && \
    chown -R user:user /app/uploads

# Ensure model cache directory is writable for runtime model downloads
RUN mkdir -p /app/.assets/models && chown -R user:user /app/.assets

# Optional preload of InsightFace inswapper_128.onnx (skips if no URL provided)
ARG INSWAPPER_URL=""
ARG INSWAPPER_TOKEN=""
ENV INSIGHTFACE_HOME="/home/user/.insightface"
ENV INSWAPPER_PATH="/app/DeepFakeAI/.assets/models/inswapper_128.onnx"
RUN set -e; mkdir -p /app/DeepFakeAI/.assets/models /home/user/.insightface/models; \
    if [ -n "$INSWAPPER_URL" ]; then \
      echo "Downloading inswapper_128.onnx from $INSWAPPER_URL"; \
      if [ -n "$INSWAPPER_TOKEN" ]; then \
        curl -fsSL -H "Authorization: Bearer $INSWAPPER_TOKEN" "$INSWAPPER_URL" -o "$INSWAPPER_PATH" || echo "Warning: tokenized download failed, continuing without preloaded model"; \
      else \
        curl -fsSL "$INSWAPPER_URL" -o "$INSWAPPER_PATH" || echo "Warning: download failed, continuing without preloaded model"; \
      fi; \
    else \
      echo "No INSWAPPER_URL provided; skipping model download"; \
    fi; \
    chown -R user:user /home/user/.insightface /app/DeepFakeAI/.assets

# Switch to user (upload directories already created with proper permissions)
USER user
ENV PATH="/home/user/.local/bin:$PATH"

# Set environment variables
ENV PYTHONUNBUFFERED=1

# Expose port 7860 (required for Hugging Face Spaces)
EXPOSE 7860

# Run via shell so ${PORT} expands (fallback to 7860)
CMD ["/bin/sh", "-lc", "python -m uvicorn api_server:app --host 0.0.0.0 --port ${PORT:-7860}"]