Dockerfile

# Use CUDA base image
FROM nvidia/cuda:11.8-devel-ubuntu20.04

# Set environment variables
ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONUNBUFFERED=1
ENV CUDA_HOME=/usr/local/cuda
ENV PATH=${CUDA_HOME}/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.8 \
    python3.8-dev \
    python3-pip \
    git \
    wget \
    curl \
    build-essential \
    cmake \
    ninja-build \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# Create symbolic link for python
RUN ln -s /usr/bin/python3.8 /usr/bin/python

# Upgrade pip
RUN python -m pip install --upgrade pip

# Set working directory
WORKDIR /app

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

# Install PyTorch with CUDA support
RUN pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu118

# Install basic dependencies
RUN pip install -r requirements.txt

# Install CLIP
RUN pip install git+https://github.com/openai/CLIP.git

# Create packages directory
RUN mkdir -p packages

# Install nvdiffrast
WORKDIR /app/packages
RUN git clone https://github.com/NVlabs/nvdiffrast.git && \
    cd nvdiffrast && \
    pip install .

# Install PyTorch3D
WORKDIR /app/packages
RUN git clone https://github.com/facebookresearch/pytorch3d.git && \
    cd pytorch3d && \
    pip install .

# Install Fashion-CLIP
WORKDIR /app/packages
RUN git clone https://github.com/patrickjohncyh/fashion-clip.git && \
    cd fashion-clip && \
    pip install appdirs boto3 annoy validators transformers datasets

# Return to app directory
WORKDIR /app

# Copy application files
COPY . .

# Create necessary directories
RUN mkdir -p outputs meshes meshes_target

# Make setup script executable
RUN chmod +x setup_spaces.py

# Expose port
EXPOSE 7860

# Set the default command
CMD ["python", "app.py"]