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-# Use CUDA base image compatible with L4 GPU
-FROM nvidia/cuda:12.1-devel-ubuntu22.04
-
-# 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 \
-    python3.10 \
-    python3.10-dev \
-    python3-pip \
-    git \
-    wget \
-    curl \
-    build-essential \
-    cmake \
-    ninja-build \
-    libgl1-mesa-glx \
-    libglib2.0-0 \
-    libsm6 \
-    libxext6 \
-    libxrender-dev \
-    libgomp1 \
-    libssl-dev \
-    zlib1g-dev \
-    libbz2-dev \
-    libreadline-dev \
-    libsqlite3-dev \
-    libncursesw5-dev \
-    xz-utils \
-    tk-dev \
-    libxml2-dev \
-    libxmlsec1-dev \
-    libffi-dev \
-    liblzma-dev \
-    && rm -rf /var/lib/apt/lists/*
-
-# Create symbolic link for python
-RUN ln -s /usr/bin/python3.10 /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 12.1 support FIRST
-RUN pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2 --index-url https://download.pytorch.org/whl/cu121
-
-# Install torch-sparse and torch-scatter with correct CUDA version
-RUN pip install torch-sparse torch-scatter -f https://data.pyg.org/whl/torch-2.2.2+cu121.html
-
-# 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 with CUDA support
-WORKDIR /app/packages
-RUN git clone https://github.com/facebookresearch/pytorch3d.git && \
-    cd pytorch3d && \
-    FORCE_CUDA=1 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"]