Update Dockerfile

Dockerfile

@@ -7,7 +7,7 @@ ENV MKL_THREADING_LAYER=GNU
 RUN apt-get update && apt-get install -y \
     git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev pkg-config \
     build-essential cmake g++ python3-dev software-properties-common \
-    wget gnupg2 libopenblas-dev && \
+    wget gnupg2 libopenblas-dev libx11-dev && \
     rm -rf /var/lib/apt/lists/*
 
 # Add NVIDIA package repositories
@@ -18,55 +18,58 @@ RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86
 # Install CUDA Toolkit and cuDNN
 RUN apt-get install -y cuda-toolkit-11-7 libcudnn8 libcudnn8-dev
 
-# Create a user
-RUN useradd -m -u 1000 user
-USER user
-
-# Set CUDA paths
-ENV HOME=/home/user \
-    PATH=/home/user/.local/bin:/usr/local/cuda/bin:$PATH \
-    PYTHONPATH=$HOME/app \
-    PYTHONUNBUFFERED=1 \
-    GRADIO_ALLOW_FLAGGING=never \
-    GRADIO_NUM_PORTS=1 \
-    GRADIO_SERVER_NAME=0.0.0.0 \
-    GRADIO_THEME=huggingface \
-    GRADIO_SHARE=False \
-    SYSTEM=spaces \
+# Set CUDA paths for build environment
+ENV PATH=/usr/local/cuda/bin:$PATH \
     CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
     CUDA_HOME=/usr/local/cuda \
     LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH \
-    TORCH_CUDA_ARCH_LIST="8.6"
+    CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/" \
+    TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6"
 
-# Set CUDA & cuDNN paths
-ENV CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/"
+# Upgrade pip & install dependencies
+RUN pip install --upgrade pip setuptools wheel
+RUN pip install --no-cache-dir urllib3 transformers yacs scipy scikit-image scikit-learn PyYAML Pillow "numpy<2" opencv-python imageio ffmpeg-python av "moviepy<2" gradio cmake
 
-# Set working directory
-WORKDIR $HOME/app
+# Create app directory structure first
+RUN mkdir -p /app/checkpoints
 
 # Clone the repository
-RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app 
+RUN git clone -b dev https://github.com/fffiloni/dreamtalk /app
 
 # Download model checkpoints
-RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/denoising_network.pth -O $HOME/app/checkpoints/denoising_network.pth
-RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/renderer.pt -O $HOME/app/checkpoints/renderer.pt
+RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/denoising_network.pth -O /app/checkpoints/denoising_network.pth && \
+    wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/renderer.pt -O /app/checkpoints/renderer.pt
 
-# Upgrade pip & install dependencies
-RUN pip install --upgrade pip setuptools wheel
-RUN pip install --no-cache-dir urllib3 transformers yacs scipy scikit-image scikit-learn PyYAML Pillow "numpy<2" opencv-python imageio ffmpeg-python av "moviepy<2" gradio
+# Explicitly set environment variables for dlib compilation
+ENV DLIB_USE_CUDA=1 \
+    DLIB_JPEG_SUPPORT=1 \
+    DLIB_PNG_SUPPORT=1
 
-# Install CMake first
-RUN pip install cmake
+# Install dlib with CUDA support
+RUN pip install --no-cache-dir dlib==19.24.0
 
-# Install dlib with CUDA support (force source compilation)
-RUN pip install --no-cache-dir dlib -vvv --no-binary dlib
+# Create a user and set ownership
+RUN useradd -m -u 1000 user && \
+    chown -R user:user /app
 
-# Copy application file
-COPY app.py .
+# Set environment variables for runtime
+ENV PYTHONPATH=/app \
+    PYTHONUNBUFFERED=1 \
+    GRADIO_ALLOW_FLAGGING=never \
+    GRADIO_NUM_PORTS=1 \
+    GRADIO_SERVER_NAME=0.0.0.0 \
+    GRADIO_THEME=huggingface \
+    GRADIO_SHARE=False \
+    SYSTEM=spaces \
+    CUDA_DEVICE_ORDER=PCI_BUS_ID \
+    CUDA_VISIBLE_DEVICES=0
+
+# Switch to user
+USER user
+WORKDIR /app
 
-# Set CUDA environment variables
-ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
-ENV CUDA_VISIBLE_DEVICES=0
+# Copy application file (assuming it's in the build context)
+COPY --chown=user:user app.py /app/
 
 # Run the application
 CMD ["python", "app.py"]