Want to create beautiful web interfaces without mastering code? OpenUI makes it happen! Simply describe your idea, and this open-source tool transforms it into a real interface in seconds. Join Tentenai.vn as we explore what OpenUI is, its features, and how to use this game-changing tool!
What is OpenUI?
OpenUI is an open-source tool that makes creating user interfaces (UI) fast and fun. Just describe your vision in words, and OpenUI instantly turns it into a visual interface. Developed by W&B, this tool is a favorite among tech enthusiasts for prototyping applications, especially those powered by large language models (LLMs).
Key features of OpenUI
Fast and user-friendly
Describe your interface, and OpenUI generates HTML code or converts it to React, Svelte, or Web Components. Preview your design in just seconds!
Flexible and easy to integrate
OpenUI supports multiple AI models, including OpenAI, Groq, Gemini, Anthropic, and Ollama. It also integrates with LiteLLM to connect with most LLM services available.
Open-Source
Freely available on GitHub, OpenUI is accessible to beginners and seasoned developers alike.
Who Should Use OpenUI?
OpenUI is perfect for:
Developers: Quickly prototype interfaces for web or mobile apps.
UI/UX Designers: Test design ideas without writing code.
AI Projects: Build interfaces for LLM-based applications.
Learners: Beginners can practice designing simple interfaces.
How to Install and Use OpenUI
Prerequisites
1. Environment:
Python 3.8 or higher.
Node.js and npm (for the frontend).
Docker (optional, for containerized setup).
Git (to clone the repository).
2. API Keys (Optional):
For AI models like OpenAI, you’ll need an OPENAI_API_KEY.
Other models (Grok, Anthropic, Gemini, etc.) require their respective API keys.
For local models (e.g., Ollama), set OPENAI_API_KEY=xxx
3. Supported OS: Linux, macOS, Windows.
Installation steps
Step 1: Clone the Repository
Open a terminal and run:
git clone https://github.com/wandb/openui
cd openui
Step 2: Set Up the Environment
OpenUI has two components: backend (Python) and frontend (TypeScript/React).
1. Backend Setup: using python and related liblary
a. Create a virtual environment:
python -m venv venv
source venv/bin/activate # Trên Windows: venv\Scripts\activate
b. Navigate to the backend folder and install:
cd backend
pip install .
c. Install additional dependencies (if needed): For extra AI models via LiteLLM, run:
pip install litellm
d. Configure API Keys: For local models (e.g., Ollama):
export OPENAI_API_KEY=xxx
For other models, replace xxx with the actual key: