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Pages
In Databutton, we enable you to write cool multipage Streamlit UIs for your users.
Pages is built on the Streamlit framework for writing graphical interfaces in Python. There is no limit to how many pages you can have. In a page, you can for instance
- Build a chat interface using OpenAI, domain knowledge, and documents
- Build a killer app displaying live data and analysis
- Store input from a form you create for your users
- Provide configuration UI
- Provide UI to trigger jobs on-demand
Example app with 3 pages
The following example shows how you can create a form page that stores the data in a dataframe.
import databutton as db
import streamlit as st
# Use streamlit form
with st.form("my-form"):
email = st.text_input("Email")
if st.form_submit_button("Submit"):
# Add new record to the dataframe and store safely in Databutton
new_record = {"email": email}
# Add the new record to the existing dataframe
db.storage.dataframes.add(key="registrations", entry=new_record)
# If you need to add multiple records, see
# the "Adding records to a dataframe" section
st.write("Thank you for signing up!")
When you update code in a Page, no changes will be visible to your users until you have pressed the Deploy changes button. Thus, you have a Deployed version, and you can have an unpuslihed one.
Your Pages will not be accessible to anyone unless you press the Share button. Then, you can either share to specific emails, or get a link that anyone with the link can access.
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Pages can be hidden or visible
Last modified 25d ago