Update Dockerfile

Dockerfile

@@ -2,7 +2,6 @@
 FROM pytorch/pytorch:2.0.0-cuda11.7-cudnn8-devel
 
 # Add NVIDIA CUDA GPG key
-# Add NVIDIA CUDA GPG key using a different key server
 RUN apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-key A4B469963BF863CC
 
 # Install Git and system libraries required for OpenGL without interactive prompts
@@ -11,10 +10,8 @@ ENV DEBIAN_FRONTEND=noninteractive
 # Install Git, OpenGL libraries, and libglib2.0
 RUN apt-get update && apt-get install -y git libgl1-mesa-glx libglib2.0-0
 
-RUN apt-get update && apt-get install -y ninja-build
-
-# Install necessary dependencies, including CMake, a C++ compiler, and others
-RUN apt-get update && apt-get install -y unzip ffmpeg cmake g++ build-essential aria2
+# Install Ninja and other build tools
+RUN apt-get update && apt-get install -y ninja-build unzip ffmpeg cmake g++ build-essential aria2
 
 # Set up a new user named "user" with user ID 1000
 RUN useradd -m -u 1000 user
@@ -35,7 +32,9 @@ ENV HOME=/home/user \
     GRADIO_SERVER_NAME=0.0.0.0 \
     GRADIO_THEME=huggingface \
     GRADIO_SHARE=True \
-    SYSTEM=spaces
+    SYSTEM=spaces \
+    CUDA_DEVICE_ORDER=PCI_BUS_ID \
+    CUDA_VISIBLE_DEVICES=0
 
 # Set the working directory to the user's home directory
 WORKDIR $HOME/app
@@ -46,9 +45,8 @@ RUN git clone -b main https://github.com/ashpexx/make-vid-talk $HOME/app
 # Install specific versions of PyTorch and TorchVision
 RUN pip install torch==2.0.0+cu117 torchvision==0.15.0+cu117 -f https://download.pytorch.org/whl/torch_stable.html
 
-# Install dependencies
-#COPY requirements.txt $HOME/app/requirements.txt
-RUN pip install --no-cache-dir -r requirements.txt gradio==4.36.1 moviepy
+# Install dependencies including Gunicorn
+RUN pip install --no-cache-dir -r requirements.txt gradio==4.36.1 moviepy gunicorn
 
 # Download checkpoint files using aria2
 RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/30_net_gen.pth -d $HOME/app/checkpoints -o 30_net_gen.pth
@@ -65,17 +63,8 @@ RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co
 RUN aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://huggingface.co/camenduru/video-retalking/resolve/main/shape_predictor_68_face_landmarks.dat -d $HOME/app/checkpoints -o shape_predictor_68_face_landmarks.dat
 RUN unzip -d $HOME/app/checkpoints/BFM $HOME/app/checkpoints/BFM.zip
 
-
 # Ensure the compiled CUDA code can be found
 ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
 
-# Update package lists and install other dependencies as needed
-# Ensure that CUDA components are correctly installed and configured
-# Install any other required packages
-
-# 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"]
+# Set the entrypoint to Gunicorn
+CMD ["gunicorn", "--bind", "0.0.0.0:8080", "app:app"]