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thanks for releasing this awesome repo - it's very helpful!
I'd greatly appreciate some clarification on a basic Streamlit concept: I have a Streamlit app running on my laptop. I'd like to share the url with some friends, and would like the computation of any query based on the user inputs from each instance of the app to run in parallel, so any user would have to wait the same amount of time as a single user of the app.
Does Streamlit already handle this (via Tornado), or do I have to build in concurrent computation in my code?
I'm posting this query here as you have made an app available to multiple users that are able to use the app.
I hope my question makes sense. Looking forward to your reply.
The text was updated successfully, but these errors were encountered:
thanks for releasing this awesome repo - it's very helpful!
I'd greatly appreciate some clarification on a basic Streamlit concept: I have a Streamlit app running on my laptop. I'd like to share the url with some friends, and would like the computation of any query based on the user inputs from each instance of the app to run in parallel, so any user would have to wait the same amount of time as a single user of the app.
Does Streamlit already handle this (via Tornado), or do I have to build in concurrent computation in my code?
I'm posting this query here as you have made an app available to multiple users that are able to use the app.
I hope my question makes sense. Looking forward to your reply.
The text was updated successfully, but these errors were encountered: