Update Dockerfile

Dockerfile

@@ -1,19 +1,18 @@
 FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
 
 ENV DEBIAN_FRONTEND=noninteractive
-
-# Set the MKL_THREADING_LAYER environment variable to GNU
 ENV MKL_THREADING_LAYER=GNU
 
+# Install system dependencies
 RUN apt-get update && apt-get install -y \
     git wget libgl1-mesa-glx libglib2.0-0 ffmpeg libx264-dev \
-    build-essential cmake g++ python3-dev \
-    cuda-toolkit-11-7
+    build-essential cmake g++ python3-dev
 
+# Create a user and switch to it
 RUN useradd -m -u 1000 user
-
 USER user
 
+# Set environment variables
 ENV HOME=/home/user \
     PATH=/home/user/.local/bin:/usr/local/cuda/bin:$PATH \
     PYTHONPATH=$HOME/app \
@@ -27,26 +26,35 @@ ENV HOME=/home/user \
     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
+    CMAKE_PREFIX_PATH=/usr/local/cuda \
+    TORCH_CUDA_ARCH_LIST="8.6"
+
+# Set CUDA environment variables
+ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
+ENV CUDA_VISIBLE_DEVICES=0
 
-# Set the working directory to the user's home directory
+# Set working directory
 WORKDIR $HOME/app
 
+# Clone the repository
 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 $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
+
+# 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
+
+# Install CMake first (required for dlib)
 RUN pip install cmake
+
+# Install dlib with verbose logging
 RUN pip install dlib -vvv
 
+# Copy application file
 COPY app.py .
 
-# Set the environment variable to specify the GPU device
-ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
-ENV CUDA_VISIBLE_DEVICES=0
-
-# Run your app.py script
-CMD ["python", "app.py"]
+# Run the application
+CMD ["python", "app.py"]