Hi everyone! 
Hope you doing good. I used streamlit to create a iris flower species classifier app.
Have a look at this—
https://share.streamlit.io/vinrok/streamlit-app/main/classify_species_app.py
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That’s a classic!
It would be cool to also see where the datapoint lies when you plot it on top of the ground-truth dataset, as shown in red below:
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Hey @vinrok, welcome to the community!
- I loved how you integrated a screencast documentation inside the app, definitely stealing this tip
- In the “probability by species” part, is it possible to put the species names as column names instead of their indexes 0,1,2 ? It makes it easier to understand how well the prediction went
Keep up on Streamlitin’ !
Fanilo
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