Welcome back to Streamlit Part 8: Status Elements! In this installment, we'll dive into the various status elements Streamlit offers to enhance the user experience in your app by providing visual feedback during operations.
If you haven't already, you'll want to import Streamlit as st, configure your page, and lay out the framework to follow along. Run the app by typing streamlit run app.py in your terminal, and let's get started.
The first status element we'll look at is the progress bar. This is a great way to visually indicate the progress of a long-running task, like data processing or a complex computation.
To create a progress bar in Streamlit:
progress_text = "Operation in progress. Please wait." my_bar = st.progress(value=0, text=progress_text) for percent_complete in range(100): time.sleep(0.01) my_bar.progress(percent_complete + 1, text=progress_text) time.sleep(0.5) my_bar.empty() # Clears the progress bar
To make the app interactive, consider adding a Rerun button that reloads the app so users can re-run the progress bar.
st.button("Rerun")
Next up is the success bar. This can be used to show a successful outcome or completion of an operation.
st.success("This is a status message!", icon="✅")
It’s a simple but effective way to show users when things go smoothly!
A spinner is a great way to indicate that something is running in the background. This is especially useful when you want to keep users informed without blocking the interface.
with st.spinner("In progress..."): time.sleep(1.5) st.success("Done!")
This code will display a spinner while the time.sleep() function runs, then show a success message when finished.
To handle error scenarios or warnings, you can use st.error() and st.warning() respectively. These functions make it very easy to communicate issues clearly.
st.error("This is an error message!") st.warning("This is a warning message!")
They display red and yellow messages, making it easy for users to differentiate between errors and warnings.
For general information, use st.info(). It's useful for providing informative messages during interactions.
st.info("This is an info message!")
Additionally, if you need to display exceptions (for debugging purposes), use st.exception(). This can be handy when you want users or developers to understand why something has gone wrong.
try: raise Exception("This is an exception!") except Exception as e: st.exception(e)
This will show the full traceback, providing valuable context during development.
Streamlit also offers some whimsical features to add fun effects to your app. You can use balloons and snow to add a bit of celebration or a seasonal touch!
progress_text = "Operation in progress. Please wait." my_bar = st.progress(value=0, text=progress_text) for percent_complete in range(100): time.sleep(0.01) my_bar.progress(percent_complete + 1, text=progress_text) time.sleep(0.5) my_bar.empty() # Clears the progress bar
st.button("Rerun")
These effects are purely visual, but they can add a fun flair to your app for special occasions.
That’s it for Streamlit Part 8: Status Elements! These elements can help keep your users informed about what’s happening behind the scenes and make the overall experience more interactive.
I hope you enjoyed this tutorial! See you in the next installment!
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