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
@@ -45,8 +44,7 @@ RUN git clone -b main https://github.com/ashpexx/make-vid-talk $HOME/app
 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 moviepy
+RUN pip install --no-cache-dir -r requirements.txt 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
@@ -63,7 +61,6 @@ 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}
 
@@ -75,5 +72,5 @@ ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
 ENV CUDA_DEVICE_ORDER=PCI_BUS_ID
 ENV CUDA_VISIBLE_DEVICES=0
 
-# Run your app.py script
-CMD ["flask", "run"]
+# Run your Flask app with Gunicorn, setting the timeout to 1200 seconds (20 minutes)
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "--timeout", "1200", "app:app"]