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RuoYi AI - An open-source Java-based backend framework integrating AI chat and image generation.

Home/ RuoYi AI - An open-source Java-based backend framework integrating AI chat and image generation.

RuoYi AI - An open-source Java-based backend framework integrating AI chat and image generation.

## Definition of RuoYi AI RuoYi AI is an open-source backend framework built on the ruoyi-plus framework, designed to integrate AI chat and image generation functionalities. It is developed using Java 17 and SpringBoot 3.X, and supports multiple AI models such as ChatGPT4 and Dall-E-3. The project is free and suitable for developers looking to quickly build AI-powered applications. ## Key Features of RuoYi AI RuoYi AI offers the following key features: - **AI Chat**: Integration with models like ChatGPT4 and ChatGPT-4-All for intelligent conversations. - **AI Painting**: Support for Dall-E-3 and text-to-image models for image generation. - **Voice Functionality**: Voice generation and cloning services. - **Cross-Platform Support**: Integration with WeChat Mini Programs for mobile development. - **Payment Integration**: Real-time payment support via the Yi Pay system. - **Social Enhancement**: Ability to connect personal WeChat with ChatGPT for improved user experience. - **Open-Source**: Fully open-source code for easy customization and learning. ## Technologies Used in RuoYi AI RuoYi AI is built using the following technologies: - **Backend**: Java 17, SpringBoot 3.X. - **Frontend**: ElementUI for the admin interface. - **Database**: MySQL. - **Additional Tools**: Maven for dependency management, Git for version control, and optional Node.js for frontend development. ## Setup and Deployment of RuoYi AI To set up and run RuoYi AI, follow these steps: 1. **Clone the Project**: Use `git clone https://github.com/ageerle/ruoyi-ai.git` to get the backend code. 2. **Configure**: Modify the `application.yml` file to set up the database (e.g., `jdbc:mysql://localhost:3306/ruoyi_ai_db?useSSL=false&serverTimezone=UTC`) and AI model keys. 3. **Build and Run**: Use `mvn clean install` and `mvn spring-boot:run` to start the backend, accessible at `http://localhost:8080`. 4. **Frontend Setup**: Clone the frontend project (`https://github.com/ageerle/ruoyi-admin.git`), run `npm install` and `npm run dev`, and access it at `http://localhost:8081`. 5. **Mini Program Setup**: Clone the Mini Program project (`https://github.com/ageerle/ruoyi-uniapp.git`) and configure the backend address. ## Resources for RuoYi AI Developers can find more information about RuoYi AI through the following resources: - **Official Website**: [RuoYi AI](https://www.aisharenet.com/ruoyi-ai/) - **GitHub Repositories**: - [Backend](https://github.com/ageerle/ruoyi-ai) - [Frontend](https://github.com/ageerle/ruoyi-admin.git) - [Mini Program](https://github.com/ageerle/ruoyi-uniapp.git) ### Citation sources: - [RuoYi AI](https://www.aisharenet.com/ruoyi-ai) - Official URL Updated: 2025-04-01