gaizhenbiao/chuanhuchatgpt

GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.

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Summary Information

Updated 51 minutes ago
Added to GitGenius on September 3rd, 2026
Created on March 2nd, 2023
Open Issues & Pull Requests: 129 (+0)
GitHub issues: Enabled
Number of forks: 2,199
Total Stargazers: 15,272 (+0)
Total Subscribers: 90 (+0)

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Detailed Description

Chuanhu Chat is a web-based graphical interface for ChatGPT and multiple other large language models.

The tool addresses the need for an accessible, feature-rich interface to interact with various LLMs without requiring command-line expertise. It provides a unified web UI built on Gradio that supports numerous model providers including ChatGPT, Claude, Gemini, Llama, Qwen, and others. The interface enables users to leverage advanced capabilities such as file-based question-answering, web search integration, agent functionality, and model fine-tuning through a single application.

Developers and end users seeking a lightweight, user-friendly alternative to command-line tools or basic chat interfaces should consider this project. It suits scenarios where multiple LLM providers need to be accessed from one place, where file uploads and knowledge base queries are required, or where local model deployment is preferred. The tool supports both cloud-based APIs and locally-deployed models, making it flexible for different infrastructure preferences. The interface includes mobile responsiveness with support for various screen sizes and can be installed as a progressive web application.

The project maintains active development with regular feature additions and model support expansions. The codebase receives ongoing updates to incorporate newly released models and capabilities. Community engagement is facilitated through multiple channels including Telegram groups and video tutorials. The development approach emphasizes user experience refinement, as evidenced by recent interface redesigns and accessibility improvements across different platforms and devices.