Update Bokeh error message to redirect to streamlit-bokeh custom component#10374
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kmcgrady
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lukasmasuch
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Feb 14, 2025
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Engineering-wise this LGTM 👍 but maybe another check from @jrieke or @sfc-gh-dmatthews if the message is fine.
If we want to make it even easier for the user, we could add a bit more hands-on example on how to use it:
To use the latest version of Bokeh, just install streamlit-bokeh via:
pip install streamlit-bokeh
and use it like:
from streamlit_bokeh import streamlit_bokeh
streamlit_bokeh(YOUR_BOKEH_FIGURE, use_container_width=True, theme="streamlit", key="my_unique_key")
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btw. I think we can close #5858 with this PR |
Co-authored-by: Debbie Matthews <debbie.matthews@snowflake.com>
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Describe your changes
We have launched a bokeh custom component to help support later versions of Bokeh. This change modifies the error message we send to users to encourage them to try out our custom component.
Testing Plan
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By submitting this pull request you agree that all contributions to this project are made under the Apache 2.0 license.