Update Dockerfile

Dockerfile

@@ -1,4 +1,4 @@
-FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime
+FROM pytorch/pytorch:2.1.0-cuda11.8-cudnn8-runtime
 
 ENV DEBIAN_FRONTEND=noninteractive
 ENV MKL_THREADING_LAYER=GNU
@@ -6,74 +6,67 @@ ENV MKL_THREADING_LAYER=GNU
 # Install dependencies
 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++ software-properties-common \
-    gnupg2 libopenblas-dev libx11-dev && \
+    build-essential cmake g++ python3-dev software-properties-common \
+    wget gnupg2 libopenblas-dev && \
     rm -rf /var/lib/apt/lists/*
 
 # Add NVIDIA package repositories
-RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb && \
-    dpkg -i cuda-keyring_1.1-1_all.deb && \
+RUN wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-keyring_1.0-1_all.deb && \
+    dpkg -i cuda-keyring_1.0-1_all.deb && \
     apt-get update
 
-# Install CUDA Toolkit and cuDNN (with version matching the base image)
-RUN apt-get install -y cuda-toolkit-12-1 libcudnn8 libcudnn8-dev
+# Install CUDA Toolkit and cuDNN
+RUN apt-get install -y cuda-toolkit-11-7 libcudnn8 libcudnn8-dev
 
-# Create user first so we can set up their home directory
+# Create a user
 RUN useradd -m -u 1000 user
+USER user
 
-# Set environment variables including HOME
+# 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 \
     CUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda \
     CUDA_HOME=/usr/local/cuda \
     LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH \
-    CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/" \
-    TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;8.9;9.0"
+    TORCH_CUDA_ARCH_LIST="8.6"
 
-# Create app directory structure but don't switch to user yet
-RUN mkdir -p /home/user/app/checkpoints && \
-    chown -R user:user /home/user
+# Set CUDA & cuDNN paths
+ENV CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/"
 
-# Clone the repository directly into the app directory (as root for now)
-RUN git clone -b dev https://github.com/fffiloni/dreamtalk /home/user/app && \
-    chown -R user:user /home/user/app
+# Set working directory
+WORKDIR $HOME/app
 
-# Download model checkpoints (as root)
-RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/denoising_network.pth -O /home/user/app/checkpoints/denoising_network.pth && \
-    wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/checkpoints/renderer.pt -O /home/user/app/checkpoints/renderer.pt && \
-    chown -R user:user /home/user/app/checkpoints
+# Clone the repository
+RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app 
 
-# Switch to user for pip installations
-USER user
-WORKDIR $HOME
+# 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
 
 # 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
+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 \
-    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 \
-    CUDA_DEVICE_ORDER=PCI_BUS_ID \
-    CUDA_VISIBLE_DEVICES=0
+# 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
 
-# Set working directory to app
-WORKDIR $HOME/app
+# Copy application file
+COPY app.py .
 
-# Copy application file (assuming it's in the build context)
-COPY --chown=user:user app.py $HOME/app/
+# Set CUDA environment variables
+ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
+ENV CUDA_VISIBLE_DEVICES=0
 
 # Run the application
 CMD ["python", "app.py"]