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data-engineering/tp-docker/README.md

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@@ -78,7 +78,7 @@ You can make your image public by using the docker hub : https://docs.docker.com
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3. Download it and use it locally
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### Bonus: Step 6 - Continuous Integration (CI)
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### Step 6 - Continuous Integration (CI)
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If it works on your machine, congrats ! But remember, engineers have to work as team and to be sure it works on others' machines, you have to do something more.
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Test it on a remote servers now thanks to a Continuous Integration (CI) system such as [GitHub Actions](https://github.com/features/actions) :
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Every commit on a branch should start a CI job to start the containers and display the logs.
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You can find [help for this step here](https://github.com/polomarcus/tp/issues/2#issue-1669333101)
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### Step 7 : HuggingFace
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Use [HuggingFace](https://huggingface.co/) to deploy a JupyterLab application on a HuggingFace Space

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