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oceansweep
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d8f7751
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Parent(s):
d6bd8f3
Update Dockerfile
Browse files- Dockerfile +25 -29
Dockerfile
CHANGED
@@ -14,39 +14,35 @@ RUN apt-get update && apt-get install -y \
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libcudnn8-dev \
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sudo
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WORKDIR /code
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COPY ./requirements.txt /
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#
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#RUN export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:`python3 -c 'import os; import torch; print(os.path.dirname(torch.__file__) +"/lib")'`
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RUN export LD_LIBRARY_PATH=`python3 -c 'import os; import nvidia.cublas.lib; import nvidia.cudnn.lib; import torch; print(os.path.dirname(nvidia.cublas.lib.__file__) + ":" + os.path.dirname(nvidia.cudnn.lib.__file__) + ":" + os.path.dirname(torch.__file__) +"/lib")'`:$LD_LIBRARY_PATH
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# Switch to the "user" user
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# Set home to the user's home directory
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ENV PYTHONUNBUFFERED=1 \
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GRADIO_ALLOW_FLAGGING=never \
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GRADIO_NUM_PORTS=1 \
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GRADIO_SERVER_NAME=0.0.0.0 \
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GRADIO_THEME=huggingface \
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SYSTEM=spaces
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CMD ["
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CMD ["mkdir", "./Results/Video_Downloads"]
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CMD ["chmod", "-R", "775", "$HOME/"]
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CMD ["python3", "app.py"]
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libcudnn8-dev \
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sudo
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# Set up a new user named "user" with user ID 1099
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RUN useradd -m -u 1099 user
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WORKDIR /app
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COPY ./requirements.txt /app/requirements.txt
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# Set up CUDA libraries
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RUN export LD_LIBRARY_PATH=`python3 -c 'import os; import nvidia.cublas.lib; import nvidia.cudnn.lib; import torch; print(os.path.dirname(nvidia.cublas.lib.__file__) + ":" + os.path.dirname(nvidia.cudnn.lib.__file__) + ":" + os.path.dirname(torch.__file__) +"/lib")'`:$LD_LIBRARY_PATH
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RUN pip3 install --no-cache-dir --upgrade -r /app/requirements.txt
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# Copy the current directory contents into the container at /app
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COPY . /app
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# Create necessary directories and set permissions
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RUN mkdir -p /app/Results/Audio_Processing /app/Results/Video_Downloads && \
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chown -R user:user /app
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# Switch to the "user" user
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USER user
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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GRADIO_ALLOW_FLAGGING=never \
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GRADIO_NUM_PORTS=1 \
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GRADIO_SERVER_NAME=0.0.0.0 \
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GRADIO_THEME=huggingface \
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SYSTEM=spaces
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# Command to run the application
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CMD ["python3", "app.py"]
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