InfoFusion

This project is available in multiple languages:

• 简体中文

InfoFusion is a 100% locally run AI-powered web tool designed to read WeChat chat data from the user's computer and generate intelligent auto-replies using the RWKV runner. The project integrates with the open-source tool pywxdump to efficiently extract and process WeChat data. Built with Next.js and NextUI, InfoFusion provides a modern, responsive, and user-friendly interface, ensuring privacy and control over your data.

Features

• Local Data Processing: Ensures user privacy by running entirely on the user's computer without sending any data to external servers.
• WeChat Data Extraction: Utilizes pywxdump, an open-source project, to securely read and process WeChat chat data directly from your local machine.
• AI-Powered Replies: Leverages the RWKV runner to generate contextually accurate and intelligent replies for WeChat conversations.
• Modern UI: Built with NextUI, offering a sleek, responsive interface for an enhanced user experience.
• TypeScript Support: Provides strong typing to improve the development experience and ensure better code maintainability.

Planned Features

• Customizable reply styles
• UI notifications for new messages
• Summary of unread messages

Technologies Used

InfoFusion is powered by the following technologies:

• RWKV-Runner: A versatile AI model runner, which facilitates the generation of intelligent replies based on context.
• PyWxDump: An open-source tool for securely reading and extracting WeChat data from local storage.
• Next.js: A React framework known for building fast and scalable web applications.
• NextUI: A React component library offering pre-designed UI components for creating modern web interfaces.
• NextJS and NextUI Dashboard Template Starter: A starter template that combines the power of Next.js and NextUI for a robust dashboard setup.

Getting Started

Tip

You can visit the Detailed Tutorial for more comprehensive steps.

Note

For the current version, please use the rwkvchat package in release instead of PyWxDump.

Before starting, please ensure that RWKV-Runner and PyWxDump are correctly installed and running on your local machine.

Prerequisites

• Node.js (v20 or newer)
• npm or yarn
• Python 3.x (required for PyWxDump)

Installation Steps

1. Clone the Repository

   Begin by cloning the InfoFusion repository to your local machine:

   git clone https://github.com/LeoLin4258/Infofusion
   cd InfoFusion

2. Install Dependencies

   Install the necessary Node.js dependencies:

   npm install

3. Start the Application Locally

   Run the development server:

   npm run preview

   Open your browser and navigate to http://localhost:3000 to access InfoFusion.

Building for Production

To create an optimized production build, execute the following command:

npm run build

This will generate the .next folder containing the optimized application.

Deployment

InfoFusion can be deployed to any platform that supports Node.js applications, such as Vercel, Netlify, or your own server.

Deploying to Vercel

Vercel provides seamless deployment for Next.js applications:

or

1. Push your repository to GitHub.
2. Connect your repository to Vercel.
3. Vercel will automatically build and deploy your application.

Usage

1. Load WeChat Chat Data

   Use PyWxDump to extract your local WeChat chat data. Upload the extracted data through the InfoFusion web interface.

2. Generate AI Replies

   Use the RWKV Runner to generate intelligent, contextually accurate replies based on your chat conversations.

Contributing

Contributions are welcome! If you'd like to contribute, please fork the repository, create a new branch, and submit a pull request. You can also open an issue to report bugs or suggest improvements.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Acknowledgements

• RWKV-Runner
• PyWxDump
• Next.js
• NextUI
• NextJS and NextUI Dashboard Template Starter