mirror of
https://github.com/arc53/DocsGPT
synced 2024-11-19 21:25:39 +00:00
84 lines
3.3 KiB
Markdown
84 lines
3.3 KiB
Markdown
<h1 align="center">
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DocsGPT 🦖
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</h1>
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<p align="center">
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<strong>Open-Source Documentation Assistant</strong>
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</p>
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<p align="left">
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<strong>DocsGPT</strong> is a cutting-edge open-source solution that streamlines the process of finding information in project documentation. With its integration of the powerful <strong>GPT</strong> models, developers can easily ask questions about a project and receive accurate answers.
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Say goodbye to time-consuming manual searches, and let <strong>DocsGPT</strong> help you quickly find the information you need. Try it out and see how it revolutionizes your project documentation experience. Contribute to its development and be a part of the future of AI-powered assistance.
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</p>
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<div align="center">
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<a href="https://discord.gg/n5BX8dh8rU"></a>
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<a href="https://discord.gg/n5BX8dh8rU"></a>
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<a href="https://discord.gg/n5BX8dh8rU"></a>
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<a href="https://discord.gg/n5BX8dh8rU"></a>
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</div>
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## Roadmap
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You can find our [Roadmap](https://github.com/orgs/arc53/projects/2) here, please don't hesitate contributing or creating issues, it helps us make DocsGPT better!
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## Preview
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## [Live preview](https://docsgpt.arc53.com/)
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## [Join Our Discord](https://discord.gg/n5BX8dh8rU)
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## Project structure
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- Application - flask app (main application)
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- Extensions - chrome extension
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- Scripts - script that creates similarity search index and store for other libraries.
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## QuickStart
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Please note: current vector database uses pandas Python documentation, thus responses will be related to it, if you want to use other docs please follow a guide below
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1. Navigate to `/application` folder
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2. Install dependencies
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`pip install -r requirements.txt`
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3. Prepare .env file
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Copy .env_sample and create .env with your openai api token
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4. Run the app
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`python app.py`
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To start frontend
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1. Navigate to `/frontend` folder
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2. Install dependencies
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`npm install`
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3. In the file `.env.development` instead of `VITE_API_HOST = https://docsapi.arc53.com` use `VITE_API_HOST=http://localhost:5001`
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3. Run the app
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4. `npm run dev`
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Alternatively, you can use docker-compose to run the app via docker
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1. From the root folder run `docker-compose build && docker-compose up`
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[](https://railway.app/template/2ZSNAt?referralCode=97q7Ll)
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[How to install the Chrome extension](https://github.com/arc53/docsgpt/wiki#launch-chrome-extension)
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## [Guides](https://github.com/arc53/docsgpt/wiki)
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## [Interested in contributing?](https://github.com/arc53/DocsGPT/blob/main/CONTRIBUTING.md)
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## [How to use any other documentation](https://github.com/arc53/docsgpt/wiki/How-to-train-on-other-documentation)
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## [How to host it locally (so all data will stay on-premises)](https://github.com/arc53/DocsGPT/wiki/How-to-use-different-LLM's#hosting-everything-locally)
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Built with [🦜️🔗 LangChain](https://github.com/hwchase17/langchain)
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