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streamlit-wizard

This is an example of creating a wizard within Streamlit.

To use it, create your page objects by inheriting from the Page class in components, and pass the resulting pages into the Wizard class as illustrated in main.py.

Styling

Some custom CSS styling is used for the container. You can fiddle with it in static/style.css

State

Streamlit session state is used to store the current page and to move data between pages. See example_pages.py for an example of how you can retrieve data stored on previous pages. I've not thought this pattern through very deeply, please let me know if there's a better way of doing it - obviously handling state in nested components in complex, see Redux.

Running

pip install -r requirements.txt
streamlit run main.py

Example Usage

from streamlit_wizard import components

class IntroPage(Page):
    def render(self) -> dict:
        st.title("Intro")
        st.write("This is the intro page")
        accept = st.radio(
            "Do you understand that",
            options=["Yes", "No", "Can you repeat the question"],
        )
        return dict(accept=accept)


class FirstPageOfQuestions(Page):
    def render(self) -> dict:
        st.title("Question Page")
        st.write("We will have some questions here")

        # We can access the other page state via session storage if we know what it is called
        # This is presumably not a very robust solution

        did_they_accept = st.session_state["page_state"]["intro"]["accept"]
        st.write(f"On the previous page you selected {did_they_accept}")
        fave_bean = st.selectbox(
            "What is your favourite jelly bean colour", ["Red", "Orange", "Green"]
        )
        return dict(fave_bean=fave_bean)


intro = example_pages.IntroPage(name="intro")
data = example_pages.FirstPageOfQuestions(name="questions")

wizard = components.Wizard(pages=[intro, data])

wizard.render()

Publishing

python3 -m build && python3 -m twine upload dist/*

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Component for handling wizard-like sequential interactions in streamlit

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