Deploying ML models straight from Jupyter Notebooks

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  • streamlit

    Streamlit — A faster way to build and share data apps.

  • Our part of magic is done, now to the single command deployment I promised in the beginning. Before we go rogue and deploy it to the cloud, let’s run a Streamlit app locally to test things out:

  • flyctl

    Command line tools for fly.io services

  • Once we finished playing around with the model locally, let’s cast our final spell for the day 🧙‍♂️ and deploy the model to fly.io:

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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