I'm currently doing the "develop in jupyter notebooks, deploy in python scripts" thing, however I'm only deploying predictive models, using AWS Lambda.
Would Streamlit be a good fit for this? I can see the value of the inline visualisation for code demos, testing, etc but it is not clear how I would then go about deploying any part of this into production ML environment, where the "data vis" part is less useful.
I'd love something that allowed me to deploy some code to Lambda, while also deploying Streamlit as a "swagger docs" type of explanation/exploration tool showing how what I've built works.
I'm going to try and build this into my current deployment, but I don't see anything on Streamlit in terms of an opinion on "deployment" concepts/options.
I'm currently doing the "develop in jupyter notebooks, deploy in python scripts" thing, however I'm only deploying predictive models, using AWS Lambda.
Would Streamlit be a good fit for this? I can see the value of the inline visualisation for code demos, testing, etc but it is not clear how I would then go about deploying any part of this into production ML environment, where the "data vis" part is less useful.
I'd love something that allowed me to deploy some code to Lambda, while also deploying Streamlit as a "swagger docs" type of explanation/exploration tool showing how what I've built works.
I'm going to try and build this into my current deployment, but I don't see anything on Streamlit in terms of an opinion on "deployment" concepts/options.