Update Dockerfile

Dockerfile

@@ -3,16 +3,17 @@ FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
 ENV DEBIAN_FRONTEND=noninteractive
 ENV MKL_THREADING_LAYER=GNU
 
-# Install system dependencies
+# Install dependencies, including OpenBLAS
 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
+    build-essential cmake g++ python3-dev \
+    cuda-toolkit-11-7 libopenblas-dev liblapack-dev
 
-# Create a user and switch to it
+# Create a user
 RUN useradd -m -u 1000 user
 USER user
 
-# Set environment variables
+# Set CUDA paths
 ENV HOME=/home/user \
     PATH=/home/user/.local/bin:/usr/local/cuda/bin:$PATH \
     PYTHONPATH=$HOME/app \
@@ -29,10 +30,6 @@ ENV HOME=/home/user \
     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 working directory
 WORKDIR $HOME/app
 
@@ -47,14 +44,18 @@ RUN wget https://huggingface.co/camenduru/dreamtalk/resolve/main/damo/dreamtalk/
 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)
+# Install CMake first
 RUN pip install cmake
 
-# Install dlib with verbose logging
-RUN pip install dlib -vvv
+# Force dlib to detect CUDA
+RUN pip install dlib --global-option=build_ext --global-option="-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda" -vvv
 
 # Copy application file
 COPY app.py .
 
+# Set CUDA environment variables
+ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
+ENV CUDA_VISIBLE_DEVICES=0
+
 # Run the application
 CMD ["python", "app.py"]