binary-husky/gpt_academic

Project overview

A self-hosted LLM interface specifically tailored for reading, polishing, and writing academic papers, featuring hot-reloadable plugins and tooling for Arxiv/LaTeX/PDF translation. Deployable locally or via Docker with support for multiple LLM providers.

Use cases

Documents & Office · Knowledge Q&A

Deployment

Refer to project documentation

License

GPL-3.0

Best for

• Researchers requiring a specialized LLM interface for reading, polishing, and writing academic papers.
• Developers and general users needing a self-hosted web GUI with customizable function plugins for document or code analysis.

Key capabilities

• Customizable function plugins supporting hot updates to execute arbitrary tasks, with low difficulty for writing and debugging.
• Supports letting GPT generate flowcharts, state transition diagrams, Gantt charts, pie charts, GitGraphs, etc.
• Allows adding new quick shortcut buttons via the UI appearance menu or code configuration.

Limitations and risks

• Official Gradio has many compatibility issues; users must install the exact Gradio version from requirement.txt.
• Some browser translation plugins interfere with the operation of the software's frontend.
• Running local large models like ChatGLM4 requires high hardware specifications (>=24G VRAM).

Getting started

• Deployment difficulty is medium. The first success path involves cloning the repository, configuring API_KEY in config.py, installing requirements, and running main.py. Easy one-click scripts and Docker images are provided, but direct Python deployment requires configuring environment variables and editing configuration files.

Evidence and sources

• GitHub project description: 为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验
• README: 润色、翻译、代码解释 | 一键润色、翻译、查找论文语法错误、解释代码
• README: Arxiv论文精细翻译 ([Docker](https://github.com/binary-husky/gpt_academic/pkgs/container/gpt_academic_with_latex)) | [插件] 一键[以超高质量翻译arxiv论文](https://www.bilibili.com/video/BV1dz4y1v77A/)…
• README: version 3.60: 引入AutoGen作为新一代插件的基石
• README: 支持自定义强大的[插件](https://github.com/binary-husky/gpt_academic/tree/master/crazy_functions)，插件支持[热更新](https://github.com/binary-husky/gpt_academic/wiki/%E5%87%BD%E6%95%B0%E6%8F%92%E4%B…

Reviewed at: 2026-07-17T05:15:06Z