Dockerfile

# Dockerfile for Hugging Face Spaces deployment
# Uses Python 3.10 with CUDA support for GPU acceleration

FROM python:3.10-slim

# Install system dependencies
# Note: libgl1-mesa-glx is obsolete in Debian Trixie (newer versions)
# Using libgl1 which works on both old and new Debian versions
RUN apt-get update && apt-get install -y \

    build-essential \
    libgl1 \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    wget \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

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

# Install Python dependencies (excluding sam2, which will be installed from local directory)
# This includes hydra-core which is required by sam2
RUN pip install --no-cache-dir -r requirements.txt

# Verify hydra-core is installed (required for sam2/__init__.py)
RUN python -c "import hydra; print('hydra-core installed successfully')"

# Copy and install sam2 package from local directory
# This must be done before copying app code since app imports from sam2
COPY sam2/ ./sam2/
WORKDIR /app/sam2
# Install sam2 in editable mode, skip CUDA extension build for faster deployment
# (CUDA extension is optional and doesn't affect core functionality)
# Note: sam2 setup.py will install its dependencies, but we've already installed them
RUN SAM2_BUILD_CUDA=0 pip install --no-cache-dir -e .

# Return to app directory
WORKDIR /app

# Copy application code
COPY model/ ./model/
COPY app.py ./
# Copy startup script
COPY start.sh ./start.sh
RUN chmod +x ./start.sh

# Create necessary directories
RUN mkdir -p /app/models

# Expose port (Hugging Face Spaces will map this automatically)
EXPOSE 7860

# Set environment variables
ENV PYTHONUNBUFFERED=1
ENV SAM2_BUILD_CUDA=0

# Run the FastAPI application using startup script
# Hugging Face Spaces sets PORT environment variable automatically (usually 7860)
CMD ["./start.sh"]