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# Use an NVIDIA CUDA base image with CUDA 11.8 and Ubuntu 20.04
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# FROM mhamilton723/featup:latest
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FROM ubuntu:latest
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# Set a working directory
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WORKDIR /app
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# RUN git clone https://github.com/lorocks/DenseAV.git &&\
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RUN ls
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RUN cd DenseAV &&\
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echo "foo2" &&\
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pip3 install -e . &&\
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pip3 install gradio
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# Copy your application files into the container
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COPY . /app
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# Expose the port Streamlit will run on
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EXPOSE 7860
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RUN mkdir -m 700 flagged
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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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SYSTEM=spaces
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RUN useradd -m -u 1000 user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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WORKDIR $HOME/app
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COPY --chown=user . $HOME/app
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RUN ls
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# Set the command to run your Streamlit app
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CMD ["python3", "app.py"]
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