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by mmq
1904 days ago
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Streamlit is such a nice product. When iterating on an ML product and trying to give other users a quick and an easy way to interact with a model, Streamlit should be one of the first option to think of. Integrating with Streamlit[1] was also very simple, in our case, we only had to expose how we serve Tensorboards and Notebooks on our platform, and we created a couple of tutorials[2] to show how to host an app. Several of our users started using it after that as the default way for sharing interactive and customizable dashboards on their Kubernetes clusters. [1] https://polyaxon.com/integrations/streamlit/ [2] https://polyaxon.com/docs/intro/quick-start/deploying-ml-app... |
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