Create Dockerfile

Dockerfile

@@ -0,0 +1,50 @@
+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+
+ENV DEBIAN_FRONTEND=noninteractive
+
+RUN apt-get update && apt-get install -y git libgl1-mesa-glx libglib2.0-0
+
+RUN apt-get update && apt-get install -y unzip ffmpeg build-essential aria2
+
+RUN useradd -m -u 1000 user
+
+USER user
+
+ENV HOME=/home/user \
+	PATH=/home/user/.local/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
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+
+# Clone your repository or add your code to the container
+RUN git clone https://github.com/Flode-Labs/vid2densepose.git $HOME/app
+
+# Change to the cloned repository directory
+WORKDIR $HOME/app/vid2densepose
+
+# Install dependencies
+RUN pip install --no-cache-dir -r requirements.txt gradio
+
+RUN git clone https://github.com/facebookresearch/detectron2.git
+
+# Create a directory in the container using the environment variable
+RUN mkdir -p $HOME/app/hf-examples
+
+
+RUN find $HOME/app
+
+# 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"]