Modified to reflect new folder structure.
Browse files- Dockerfile +8 -7
Dockerfile
CHANGED
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@@ -8,10 +8,10 @@ USER user
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# Clone aerospace-chatbot github repository
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USER root
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WORKDIR /
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RUN apt-get update && \
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apt-get install -y git
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RUN git clone https://github.com/dan-s-mueller/aerospace_chatbot.git .
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# Set home to the user's home directory
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USER user
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@@ -20,6 +20,7 @@ ENV HOME=/home/user \
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WORKDIR $HOME
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# Create directories for the app code to be copied into
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RUN mkdir -p $HOME/src
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RUN mkdir -p $HOME/data
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RUN mkdir -p $HOME/config
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@@ -28,7 +29,7 @@ RUN mkdir -p $HOME/config
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RUN pip3 install poetry==1.7.1
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# Copy poetry files from repo into home
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RUN cp /
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RUN chown user:user $HOME/pyproject.toml $HOME/poetry.lock*
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# Disable virtual environments creation by Poetry as the Docker container itself is an isolated environment
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@@ -41,10 +42,10 @@ RUN poetry config virtualenvs.path $HOME/.venv
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ENV PATH="$HOME/.venv/bin:$PATH"
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# Install dependencies using Poetry
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RUN poetry install --no-
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# Copy the rest of the repo into home
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RUN cp -R /
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RUN chown -R user:user $HOME/src $HOME/data $HOME/config
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# Expose the port Streamlit runs on
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@@ -54,7 +55,7 @@ EXPOSE 8501
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HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
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# Update working directory to be consistent with where Start.py is
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WORKDIR $HOME/
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# An ENTRYPOINT allows you to configure a container that will run as an executable. Here, it also contains the entire streamlit run command for your app, so you don’t have to call it from the command line
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ENTRYPOINT ["streamlit", "run", "Home.py", "--server.port=8501", "--server.address=0.0.0.0"]
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@@ -63,6 +64,6 @@ ENTRYPOINT ["streamlit", "run", "Home.py", "--server.port=8501", "--server.addre
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# docker build -t ams-chatbot .
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# docker run -p 8501:8501 ams-chatbot
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# To run remotely
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# docker run -it -p 7860:7860 --platform=linux/amd64 \
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# registry.hf.space/ai-aerospace-aerospace-chatbots:latest
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# Clone aerospace-chatbot github repository
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USER root
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WORKDIR /clonedir
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RUN apt-get update && \
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apt-get install -y git
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RUN git clone --depth 1 https://github.com/dan-s-mueller/aerospace_chatbot.git .
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# Set home to the user's home directory
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USER user
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WORKDIR $HOME
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# Create directories for the app code to be copied into
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RUN mkdir -p $HOME/app
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RUN mkdir -p $HOME/src
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RUN mkdir -p $HOME/data
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RUN mkdir -p $HOME/config
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RUN pip3 install poetry==1.7.1
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# Copy poetry files from repo into home
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RUN cp /clonedir/pyproject.toml /clonedir/poetry.lock* $HOME
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RUN chown user:user $HOME/pyproject.toml $HOME/poetry.lock*
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# Disable virtual environments creation by Poetry as the Docker container itself is an isolated environment
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ENV PATH="$HOME/.venv/bin:$PATH"
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# Install dependencies using Poetry
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RUN poetry install --no-root
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# Copy the rest of the repo into home
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RUN cp -R /clonedir/src /clonedir/data /clonedir/config /clonedir/app $HOME
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RUN chown -R user:user $HOME/src $HOME/data $HOME/config
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# Expose the port Streamlit runs on
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HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
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# Update working directory to be consistent with where Start.py is
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WORKDIR $HOME/app
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# An ENTRYPOINT allows you to configure a container that will run as an executable. Here, it also contains the entire streamlit run command for your app, so you don’t have to call it from the command line
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ENTRYPOINT ["streamlit", "run", "Home.py", "--server.port=8501", "--server.address=0.0.0.0"]
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# docker build -t ams-chatbot .
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# docker run -p 8501:8501 ams-chatbot
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# To run remotely from hugging face spaces
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# docker run -it -p 7860:7860 --platform=linux/amd64 \
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# registry.hf.space/ai-aerospace-aerospace-chatbots:latest
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