Update Dockerfile

Dockerfile

@@ -6,17 +6,10 @@ 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++ python3.9 python3.9-dev python3.9-venv \
-    software-properties-common wget gnupg2 libopenblas-dev python3-pip && \
+    build-essential cmake g++ python3-dev software-properties-common \
+    wget gnupg2 libopenblas-dev && \
     rm -rf /var/lib/apt/lists/*
 
-# Ensure Python 3.9 is the default version
-RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1 && \
-    update-alternatives --set python3 /usr/bin/python3.9
-
-# Upgrade pip & install dependencies for Python 3.9
-RUN python3.9 -m pip install --no-cache-dir --upgrade pip setuptools wheel
-
 # Add NVIDIA package repositories
 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 && \
@@ -25,53 +18,55 @@ 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 PATH=/usr/local/cuda/bin:$PATH \
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:/usr/local/cuda/bin:$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 \
-    TORCH_CUDA_ARCH_LIST="8.6" \
-    CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/"
+    TORCH_CUDA_ARCH_LIST="8.6"
+
+# Set CUDA & cuDNN paths
+ENV CMAKE_PREFIX_PATH="/usr/local/cuda:/usr/lib/x86_64-linux-gnu/"
 
 # Set working directory
-WORKDIR /app
+WORKDIR $HOME/app
 
 # Clone the repository
-RUN git clone -b dev https://github.com/fffiloni/dreamtalk /app
-
-# Create checkpoints directory if it doesn't exist
-RUN mkdir -p /app/checkpoints
+RUN git clone -b dev https://github.com/fffiloni/dreamtalk $HOME/app 
 
 # Download model checkpoints
-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
+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
 
-# Install dependencies using Python 3.9
-RUN python3.9 -m 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 dlib==19.24.0 -vvv
+# 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
 
-# Create a user and change ownership
-RUN useradd -m -u 1000 user && \
-    chown -R user:user /app
+# Install CMake first
+RUN pip install cmake
 
-# Set Gradio and CUDA environment variables
-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
+# Install dlib with CUDA support (force source compilation)
+RUN pip install --no-cache-dir dlib -vvv --no-binary dlib
 
-# Switch to non-root user
-USER user
+# Copy application file
+COPY app.py .
 
-# This assumes app.py is in your build context
-# If not, you need to create or copy the app.py file appropriately
-COPY --chown=user:user app.py /app/
+# Set CUDA environment variables
+ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
+ENV CUDA_VISIBLE_DEVICES=0
 
 # Run the application
-CMD ["python3.9", "app.py"]
+CMD ["python", "app.py"]