Streamlit Configurator

A declarative and modular approach to building Streamlit applications. Streamlit Configurator allows you to define UI components and layouts in a structured, reusable manner—eliminating repetitive Streamlit calls, improving maintainability, and enabling robust state management.

Contents

• Features
• Installation
• Quick Start
• Basic Usage
• Advanced Usage
• Example Pages
• License
• Contact & Contributing

Features

• Declarative Layouts: Use ComponentConfig and PageConfig to define pages in a more descriptive style—no need to manually chain together multiple Streamlit calls.
• Robust State Management: Utilize placeholders (PlaceholderValue) to seamlessly store and retrieve data across page refreshes or navigations.
• Reusable Configurations: Once you define a component or layout, you can reuse it across different pages, ensuring consistency and reducing code duplication.
• Integration & Compatibility: Works alongside native Streamlit calls. You can still write custom functions or direct Streamlit code where it makes sense.
• Scalable Architecture: As your app grows, define new placeholders or restructure layouts without rewriting large sections of code.

Installation

From PyPI (Upcoming / Planned)

Streamlit Configurator is available on PyPI. You can install it with:

pip install st-configurator

From Source (Current)

1. Clone or download this repository.
2. Navigate to the project's root directory.
3. Install using pip:

   pip install .

4. Make sure Streamlit is installed:

   pip install streamlit

Quick Start

Below is a minimal example showing how to set up a page with Streamlit Configurator.

import streamlit as st
from st_configurator import ComponentConfig, PageConfig, PageRenderer
from st_configurator.placeholder import Placeholder, PlaceholderValue

# 1. Define a custom placeholder class to hold your state
class MyPlaceholder(Placeholder):
    NAME = PlaceholderValue(default="Guest")

# 2. Create a Streamlit component config (e.g., a text input)
name_input_config = ComponentConfig(
    component=st.text_input,
    args=("What's your name?",),
    kwargs={"value": MyPlaceholder.NAME},
    result_key=MyPlaceholder.NAME
)

# 3. Define a page config that includes this component
page_config = PageConfig(
    page_tag="HomePage",
    body=[name_input_config]
)

# 4. Render the page
PageRenderer().render_page(page_config)

1. Run your script with:

   streamlit run your_script.py

2. Interact with the text input, navigate to other pages (if any), and come back. Notice the placeholder value persists.

Basic Usage

1. Define Placeholders: Inherit from Placeholder and declare PlaceholderValues for any data you need to persist.
2. Create Components: Use ComponentConfig to wrap any Streamlit callable (e.g., st.button, st.text_input). Pass placeholders or default values as args or kwargs, and capture outputs by assigning result_key.
3. Assemble Pages: Group components in a PageConfig. You can place some components in body and others in sidebar.
4. Render: Call PageRenderer().render_page(my_page_config) to display your page.

Advanced Usage

• Conditional Rendering: Add a condition to any ComponentConfig to selectively display or hide it based on a placeholder's boolean value (or the returned value of another component).
• Nested Layouts: Use children in a ComponentConfig for layout containers like st.columns or st.tabs.
• Persistence: If you need a placeholder to remain locked once it changes, set persist=True. The new value overrides the default permanently, ignoring subsequent resets.
• Global Scope: Set global_scope=True for placeholders that are shared across all pages.

Example Pages

Explore detailed usage examples and component demonstrations through one of the following methods:

1. Visit the live demo:
   👉 Streamlit Configurator Demo

2. Run locally:
   Clone the repository and execute the example app:

   streamlit run example/main.py

You'll find multiple pages illustrating:

• Placeholder usage
• Declarative layout building
• Conditional rendering
• Nested containers and more

Each page includes commentary and code samples demonstrating how to use Streamlit Configurator's API.

License

This project is licensed under the terms of the LICENSE file.

Contact & Contributing

• Email: x77497856@gmail.com
• GitHub: https://github.com/FrunkyLiu/Streamlit-Configurator

Contributions, bug reports, and feature requests are welcome! Feel free to open an issue or submit a pull request. If you find this project useful, please consider giving a star ⭐ on GitHub to support its continued development.