What is LanguageGUI?
LanguageGUI is an open-source design system and UI kit. It provides a means for Large Language Models (LLMs) to generate output in richer, graphical user interfaces instead of plain text. The kit is designed to improve the flexibility and usability of conversational AI interfaces.
It features over 100 customizable UI components, including conversational UI widgets, chat bubbles, pre-built screens, chat sidebars, multi-prompt workflow designs, and prompt boxes. The design supports dark mode, variables, styles, and Figma Auto Layout.
Features
- 100+ UI components & customizable screens: Extensive library for diverse UI designs.
- 10+ conversational UI widgets: Specialized widgets for conversational interfaces.
- 20+ chat bubbles: A variety of chat bubble designs.
- 30+ pre-built screens: Ready-to-use screens for accelerated development.
- 5+ chat sidebars with customizable settings: Flexible sidebar options.
- Multi-prompt workflow screen designs: Support for complex interaction flows.
- 8+ prompt boxes: Various prompt box designs for user input.
- Dark mode included: Enhanced visual experience in low-light conditions.
- Designed with variables and styles: Efficient design customization.
- Designed with Figma Auto Layout: Dynamic and responsive layouts.
Use Cases
- Developing conversational AI interfaces.
- Enhancing the output format of LLMs.
- Prototyping AI-powered applications.
- Creating user-friendly chat interfaces.
- Designing interactive experiences with LLMs.
FAQs
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Can I use LanguageGUI for commercial purposes?
Yes. LanguageGUI is released under MIT License, so you can use it freely on personal or commercial projects without required attribution. -
Who is behind LanguageGUI?
LanguageGUI is the first of twelve projects (one per month, during 2024) by the team behind Tonki Labs. The major contributions to LanguageGUI were made by Mauro Sicard and Miguel Joya, along with smaller contributions from other members of the team. -
Are there plans to transform LanguageGUI into a code library?
We have conducted internal testing to format LLM responses into compatible JSON formats in order to match LanguageGUI widgets and render them in real time using both detailed prompting and fine-tuning.However, due to the time investment required and the custom implementation requirements of each developer, we have decided not to proceed with the code library build right now. That being said, if we receive support and interest from the community, we may reconsider taking up the challenge of building it!
