diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 00000000..5b0ef6a4 --- /dev/null +++ b/docs/README.md @@ -0,0 +1 @@ +# nextra-docsgpt \ No newline at end of file diff --git a/docs/next.config.js b/docs/next.config.js new file mode 100644 index 00000000..8962cb2e --- /dev/null +++ b/docs/next.config.js @@ -0,0 +1,9 @@ +const withNextra = require('nextra')({ + theme: 'nextra-theme-docs', + themeConfig: './theme.config.jsx' + }) + + module.exports = withNextra() + + // If you have other Next.js configurations, you can pass them as the parameter: + // module.exports = withNextra({ /* other next.js config */ }) \ No newline at end of file diff --git a/docs/package-lock.json b/docs/package-lock.json new file mode 100644 index 00000000..1d81b50a --- /dev/null +++ b/docs/package-lock.json @@ -0,0 +1,4775 @@ +{ + "name": "docs", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "dependencies": { + "@vercel/analytics": "^1.0.2", + "next": "^13.4.19", + 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a/docs/package.json b/docs/package.json new file mode 100644 index 00000000..381fce9a --- /dev/null +++ b/docs/package.json @@ -0,0 +1,10 @@ +{ + "dependencies": { + "@vercel/analytics": "^1.0.2", + "next": "^13.4.19", + "nextra": "^2.12.3", + "nextra-theme-docs": "^2.12.3", + "react": "^18.2.0", + "react-dom": "^18.2.0" + } +} diff --git a/docs/pages/Deploying/Hosting-the-app.md b/docs/pages/Deploying/Hosting-the-app.md new file mode 100644 index 00000000..1ec908af --- /dev/null +++ b/docs/pages/Deploying/Hosting-the-app.md @@ -0,0 +1,90 @@ +# Self-hosting DocsGPT on Amazon Lightsail + +Here's a step-by-step guide on how to setup an Amazon Lightsail instance to host DocsGPT. + +## Configuring your instance + +(If you know how to create a Lightsail instance, you can skip to the recommended configuration part by clicking here) + +### 1. Create an account or login to https://lightsail.aws.amazon.com + +### 2. Click on "Create instance" + +### 3. Create your instance + +The first step is to select the "Instance location". In most cases there's no need to switch locations as the default one will work well. + +After that it is time to pick your Instance Image. We recommend using "Linux/Unix" as the image and "Ubuntu 20.04 LTS" for Operating System. + +As for instance plan, it'll vary depending on your unique demands, but a "1 GB, 1vCPU, 40GB SSD and 2TB transfer" setup should cover most scenarios. + +Lastly, Identify your instance by giving it a unique name and then hit "Create instance". + +PS: Once you create your instance, it'll likely take a few minutes for the setup to be completed. + +#### The recommended configuration is as follows: + +- Ubuntu 20.04 LTS +- 1GB RAM +- 1vCPU +- 40GB SSD Hard Drive +- 2TB transfer + +### Connecting to your the newly created instance + +Your instance will be ready for use a few minutes after being created. To access, just open it up and click on "Connect using SSH". + +#### Clone the repository + +A terminal window will pop up, and the first step will be to clone DocsGPT git repository. + +`git clone https://github.com/arc53/DocsGPT.git` + +#### Download the package information + +Once it has finished cloning the repository, it is time to download the package information from all sources. To do so simply enter the following command: + +`sudo apt update` + +#### Install python3 + +DocsGPT backend uses python, which means it needs to be installed in order to use it. + +`sudo apt install python3-pip` + +#### Access the DocsGPT folder + +Enter the following command to access the folder in which DocsGPT application was installed. + +`cd DocsGPT/application` + +#### Install the required dependencies + +Inside the applications folder there's a .txt file with a list of all dependencies required to run DocsGPT. + +`pip3 install -r requirements.txt` + +#### Running the app + +You're almost there! Now that all the necessary bits and pieces have been installed, it is time to run the application. To do so, use the following command: + +`tmux new` + +And then: + +`python3 -m flask run --host 0.0.0.0 --port 5000` + +Once this is done you can go ahead and close the terminal window. + +#### Enabling port 5000 + +Before you being able to access your live instance, you must first enable the port which it is using. + +Open your Lightsail instance and head to "Networking". + +Then click on "Add rule" under "IPv4 Firewall", enter 5000 as your your port and hit "Create". + +#### Access your instance + +Your instance will now be available under your Public IP Address and port 5000. Enjoy! + diff --git a/docs/pages/Deploying/Quickstart.md b/docs/pages/Deploying/Quickstart.md new file mode 100644 index 00000000..a022e884 --- /dev/null +++ b/docs/pages/Deploying/Quickstart.md @@ -0,0 +1,23 @@ +## Launching Web App +Note: Make sure you have docker installed + +1. Open dowload this repository with `git clone https://github.com/arc53/DocsGPT.git` +2. Create .env file in your root directory and set your `OPENAI_API_KEY` with your openai api key +3. Run `docker-compose build && docker-compose up` +4. Navigate to `http://localhost:5173/` + +To stop just run Ctrl + C + +### Chrome Extension + +To install the Chrome extension: + +1. In the DocsGPT GitHub repository, click on the "Code" button and select Download ZIP +2. Unzip the downloaded file to a location you can easily access +3. Open the Google Chrome browser and click on the three dots menu (upper right corner) +4. Select "More Tools" and then "Extensions" +5. Turn on the "Developer mode" switch in the top right corner of the Extensions page +6. Click on the "Load unpacked" button +7. Select the "Chrome" folder where the DocsGPT files have been unzipped (docsgpt-main > extensions > chrome) +8. The extension should now be added to Google Chrome and can be managed on the Extensions page +9. To disable or remove the extension, simply turn off the toggle switch on the extension card or click the "Remove" button. diff --git a/docs/pages/Deploying/_meta.json b/docs/pages/Deploying/_meta.json new file mode 100644 index 00000000..27090f4b --- /dev/null +++ b/docs/pages/Deploying/_meta.json @@ -0,0 +1,10 @@ +{ + "Hosting-the-app": { + "title": "โ˜๏ธ Hosting DocsGPT", + "href": "/Deploying/Hosting-the-app" + }, + "Quickstart": { + "title": "โšก๏ธQuickstart", + "href": "/Deploying/Quickstart" + } +} \ No newline at end of file diff --git a/docs/pages/Developing/API-docs.md b/docs/pages/Developing/API-docs.md new file mode 100644 index 00000000..593afb33 --- /dev/null +++ b/docs/pages/Developing/API-docs.md @@ -0,0 +1,153 @@ +App currently has two main api endpoints: + +### /api/answer +Its a POST request that sends a JSON in body with 4 values. Here is a JavaScript fetch example +It will recieve an answer for a user provided question + +``` +// answer (POST http://127.0.0.1:5000/api/answer) +fetch("http://127.0.0.1:5000/api/answer", { + "method": "POST", + "headers": { + "Content-Type": "application/json; charset=utf-8" + }, + "body": JSON.stringify({"question":"Hi","history":null,"api_key":"OPENAI_API_KEY","embeddings_key":"OPENAI_API_KEY", + "active_docs": "javascript/.project/ES2015/openai_text-embedding-ada-002/"}) +}) +.then((res) => res.text()) +.then(console.log.bind(console)) +``` + +In response you will get a json document like this one: + +``` +{ + "answer": " Hi there! How can I help you?\n", + "query": "Hi", + "result": " Hi there! How can I help you?\nSOURCES:" +} +``` + +### /api/docs_check +It will make sure documentation is loaded on a server (just run it everytime user is switching between libraries (documentations) +Its a POST request that sends a JSON in body with 1 value. Here is a JavaScript fetch example + +``` +// answer (POST http://127.0.0.1:5000/api/docs_check) +fetch("http://127.0.0.1:5000/api/docs_check", { + "method": "POST", + "headers": { + "Content-Type": "application/json; charset=utf-8" + }, + "body": JSON.stringify({"docs":"javascript/.project/ES2015/openai_text-embedding-ada-002/"}) +}) +.then((res) => res.text()) +.then(console.log.bind(console)) +``` + +In response you will get a json document like this one: +``` +{ + "status": "exists" +} +``` + + +### /api/combine +Provides json that tells UI which vectors are available and where they are located with a simple get request + +Respsonse will include: +date, description, docLink, fullName, language, location (local or docshub), model, name, version + +Example of json in Docshub and local: +image + + +### /api/upload +Uploads file that needs to be trained, response is json with task id, which can be used to check on tasks progress +HTML example: + +``` +
+ + + + + + +
+``` + +Response: +``` +{ + "status": "ok", + "task_id": "b2684988-9047-428b-bd47-08518679103c" +} + +``` + +### /api/task_status +Gets task status (task_id) from /api/upload +``` +// Task status (Get http://127.0.0.1:5000/api/task_status) +fetch("http://localhost:5001/api/task_status?task_id=b2d2a0f4-387c-44fd-a443-e4fe2e7454d1", { + "method": "GET", + "headers": { + "Content-Type": "application/json; charset=utf-8" + }, +}) +.then((res) => res.text()) +.then(console.log.bind(console)) +``` + +Responses: +There are two types of repsonses: +1. while task it still running, where "current" will show progress from 0 - 100 +``` +{ + "result": { + "current": 1 + }, + "status": "PROGRESS" +} +``` + +2. When task is completed +``` +{ + "result": { + "directory": "temp", + "filename": "install.rst", + "formats": [ + ".rst", + ".md", + ".pdf" + ], + "name_job": "somename", + "user": "local" + }, + "status": "SUCCESS" +} +``` + +### /api/delete_old +deletes old vecotstores +``` +// Task status (GET http://127.0.0.1:5000/api/docs_check) +fetch("http://localhost:5001/api/task_status?task_id=b2d2a0f4-387c-44fd-a443-e4fe2e7454d1", { + "method": "GET", + "headers": { + "Content-Type": "application/json; charset=utf-8" + }, +}) +.then((res) => res.text()) +.then(console.log.bind(console)) +``` +response: + +``` +{"status": 'ok'} +``` diff --git a/docs/pages/Developing/_meta.json b/docs/pages/Developing/_meta.json new file mode 100644 index 00000000..be9ea4a7 --- /dev/null +++ b/docs/pages/Developing/_meta.json @@ -0,0 +1,6 @@ +{ + "API-docs": { + "title": "๐Ÿ—‚๏ธ๏ธ API-docs", + "href": "/Developing/API-docs" + } +} \ No newline at end of file diff --git a/docs/pages/Extensions/Chatwoot-extension.md b/docs/pages/Extensions/Chatwoot-extension.md new file mode 100644 index 00000000..09420f45 --- /dev/null +++ b/docs/pages/Extensions/Chatwoot-extension.md @@ -0,0 +1,29 @@ +### To start chatwoot extension: +1. Prepare and start the DocsGPT itself (load your documentation too) +Follow our [wiki](https://github.com/arc53/DocsGPT/wiki) to start it and to [ingest](https://github.com/arc53/DocsGPT/wiki/How-to-train-on-other-documentation) data +2. Go to chatwoot, Navigate to your profile (bottom left), click on profile settings, scroll to the bottom and copy Access Token +2. Navigate to `/extensions/chatwoot`. Copy .env_sample and create .env file +3. Fill in the values + +``` +docsgpt_url= +chatwoot_url= +docsgpt_key= +chatwoot_token= +``` + +4. start with `flask run` command + +If you want for bot to stop responding to questions for a specific user or session just add label `human-requested` in your conversation + + +### Optional (extra validation) +In app.py uncomment lines 12-13 and 71-75 + +in your .env file add: + +`account_id=(optional) 1 ` + +`assignee_id=(optional) 1` + +Those are chatwoot values and will allow you to check if you are responding to correct widget and responding to questions assigned to specific user \ No newline at end of file diff --git a/docs/pages/Extensions/_meta.json b/docs/pages/Extensions/_meta.json new file mode 100644 index 00000000..66312f41 --- /dev/null +++ b/docs/pages/Extensions/_meta.json @@ -0,0 +1,6 @@ +{ + "Chatwoot-extension": { + "title": "๐Ÿ’ฌ๏ธ Chatwoot Extension", + "href": "/Extensions/Chatwoot-extension" + } +} \ No newline at end of file diff --git a/docs/pages/Guides/Customising-prompts.md b/docs/pages/Guides/Customising-prompts.md new file mode 100644 index 00000000..b74956da --- /dev/null +++ b/docs/pages/Guides/Customising-prompts.md @@ -0,0 +1,4 @@ +## To customise a main prompt navigate to `/application/prompt/combine_prompt.txt` + +You can try editing it to see how the model responds. + diff --git a/docs/pages/Guides/How-to-train-on-other-documentation.md b/docs/pages/Guides/How-to-train-on-other-documentation.md new file mode 100644 index 00000000..0aa24d13 --- /dev/null +++ b/docs/pages/Guides/How-to-train-on-other-documentation.md @@ -0,0 +1,60 @@ +## How to train on other documentation +This AI can use any documentation, but first it needs to be prepared for similarity search. + +![video-example-of-how-to-do-it](https://d3dg1063dc54p9.cloudfront.net/videos/how-to-vectorise.gif) + +Start by going to +`/scripts/` folder + +If you open this file you will see that it uses RST files from the folder to create a `index.faiss` and `index.pkl`. + +It currently uses OPEN_AI to create vector store, so make sure your documentation is not too big. Pandas cost me around 3-4$ + +You can usually find documentation on github in docs/ folder for most open-source projects. + +### 1. Find documentation in .rst/.md and create a folder with it in your scripts directory +Name it `inputs/` +Put all your .rst/.md files in there +The search is recursive, so you don't need to flatten them + +If there are no .rst/.md files just convert whatever you find to txt and feed it. (don't forget to change the extension in script) + +### 2. Create .env file in `scripts/` folder +And write your OpenAI API key inside +`OPENAI_API_KEY=` + +### 3. Run scripts/ingest.py + +`python ingest.py ingest` + +It will tell you how much it will cost + +### 4. Move `index.faiss` and `index.pkl` generated in `scripts/output` to `application/` folder. + + +### 5. Run web app +Once you run it will use new context that is relevant to your documentation +Make sure you select default in the dropdown in the UI + +## Customisation +You can learn more about options while running ingest.py by running: + +`python ingest.py --help` +| Options | | +|:--------------------------------:|:------------------------------------------------------------------------------------------------------------------------------:| +| **ingest** | Runs 'ingest' function converting documentation to to Faiss plus Index format | +| --dir TEXT | List of paths to directory for index creation. E.g. --dir inputs --dir inputs2 [default: inputs] | +| --file TEXT | File paths to use (Optional; overrides directory) E.g. --files inputs/1.md --files inputs/2.md | +| --recursive / --no-recursive | Whether to recursively search in subdirectories [default: recursive] | +| --limit INTEGER | Maximum number of files to read | +| --formats TEXT | List of required extensions (list with .) Currently supported: .rst, .md, .pdf, .docx, .csv, .epub, .html [default: .rst, .md] | +| --exclude / --no-exclude | Whether to exclude hidden files (dotfiles) [default: exclude] | +| -y, --yes | Whether to skip price confirmation | +| --sample / --no-sample | Whether to output sample of the first 5 split documents. [default: no-sample] | +| --token-check / --no-token-check | Whether to group small documents and split large. Improves semantics. [default: token-check] | +| --min_tokens INTEGER | Minimum number of tokens to not group. [default: 150] | +| --max_tokens INTEGER | Maximum number of tokens to not split. [default: 2000] | +| | | +| **convert** | Creates documentation in .md format from source code | +| --dir TEXT | Path to a directory with source code. E.g. --dir inputs [default: inputs] | +| --formats TEXT | Source code language from which to create documentation. Supports py, js and java. E.g. --formats py [default: py] | \ No newline at end of file diff --git a/docs/pages/Guides/How-to-use-different-LLM.md b/docs/pages/Guides/How-to-use-different-LLM.md new file mode 100644 index 00000000..fb7c4e01 --- /dev/null +++ b/docs/pages/Guides/How-to-use-different-LLM.md @@ -0,0 +1,32 @@ +Fortunately there are many providers for LLM's and some of them can even be ran locally + +There are two models used in the app: +1. Embeddings +2. Text generation + +By default we use OpenAI's models but if you want to change it or even run it locally, its very simple! + +### Go to .env file or set environment variables: + +`LLM_NAME=` + +`API_KEY=` + +`EMBEDDINGS_NAME=` + +`EMBEDDINGS_KEY=` + +`VITE_API_STREAMING=` + +You dont need to provide keys if you are happy with users providing theirs, so make sure you set LLM_NAME and EMBEDDINGS_NAME + +Options: +LLM_NAME (openai, manifest, cohere, Arc53/docsgpt-14b, Arc53/docsgpt-7b-falcon) +EMBEDDINGS_NAME (openai_text-embedding-ada-002, huggingface_sentence-transformers/all-mpnet-base-v2, huggingface_hkunlp/instructor-large, cohere_medium) + +Thats it! + +### Hosting everything locally and privately (for using our optimised open-source models) +If you are working with important data and dont want anything to leave your premises. + +Make sure you set SELF_HOSTED_MODEL as true in you .env variable and for your LLM_NAME you can use anything thats on Huggingface diff --git a/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.md b/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.md new file mode 100644 index 00000000..8d9495bb --- /dev/null +++ b/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.md @@ -0,0 +1,19 @@ +If your AI uses external knowledge and is not explicit enough it ok, because we try to make docsgpt friendly. + +But if you want to adjust it here is a simple way. + +Got to `application/prompts/chat_combine_prompt.txt` + +And change it to + + +``` + +You are a DocsGPT, friendly and helpful AI assistant by Arc53 that provides help with documents. You give thorough answers with code examples if possible. +Write an answer for the question below based on the provided context. +If the context provides insufficient information, reply "I cannot answer". +You have access to chat history, and can use it to help answer the question. +---------------- +{summaries} + +``` diff --git a/docs/pages/Guides/_meta.json b/docs/pages/Guides/_meta.json new file mode 100644 index 00000000..2e693c89 --- /dev/null +++ b/docs/pages/Guides/_meta.json @@ -0,0 +1,18 @@ +{ + "Customising-prompts": { + "title": "๐Ÿ—๏ธ๏ธ Customising Prompts", + "href": "/Guides/Customising-prompts" + }, + "How-to-train-on-other-documentation": { + "title": "๐Ÿ“ฅ Training on docs", + "href": "/Guides/How-to-train-on-other-documentation" + }, + "How-to-use-different-LLM": { + "title": "โš™๏ธ๏ธ How to use different LLM's", + "href": "/Guides/How-to-use-different-LLM" + }, + "My-AI-answers-questions-using-external-knowledge": { + "title": "๐Ÿ’ญ๏ธ Avoiding hallucinations", + "href": "/Guides/My-AI-answers-questions-using-external-knowledge" + } +} \ No newline at end of file diff --git a/docs/pages/index.mdx b/docs/pages/index.mdx new file mode 100644 index 00000000..9dbe2669 --- /dev/null +++ b/docs/pages/index.mdx @@ -0,0 +1,32 @@ +--- +title: 'Home' +--- +import { Cards, Card } from 'nextra/components' +import deployingGuides from './Deploying/_meta.json'; +import developingGuides from './Developing/_meta.json'; +import extensionGuides from './Extensions/_meta.json'; +import mainGuides from './Guides/_meta.json'; + +export const allGuides = { + ...mainGuides, + ...developingGuides, + ...deployingGuides, + ...extensionGuides, +}; + +### **DocsGPT ๐Ÿฆ–** + +DocsGPT ๐Ÿฆ– is an innovative open-source tool designed to simplify the retrieval of information from project documentation using advanced GPT models ๐Ÿค–. Eliminate lengthy manual searches ๐Ÿ” and enhance your documentation experience with DocsGPT, and consider contributing to its AI-powered future ๐Ÿš€. + + + + ( + + ))} + /> diff --git a/docs/public/cute-docsgpt.png b/docs/public/cute-docsgpt.png new file mode 100644 index 00000000..28283f30 Binary files /dev/null and b/docs/public/cute-docsgpt.png differ diff --git a/docs/public/favicons/apple-touch-icon.png b/docs/public/favicons/apple-touch-icon.png new file mode 100644 index 00000000..1ab5b76c Binary files /dev/null and b/docs/public/favicons/apple-touch-icon.png differ diff --git a/docs/public/favicons/favicon-16x16.png b/docs/public/favicons/favicon-16x16.png new file mode 100644 index 00000000..8084681d Binary files /dev/null and b/docs/public/favicons/favicon-16x16.png differ diff --git a/docs/public/favicons/favicon-32x32.png b/docs/public/favicons/favicon-32x32.png new file mode 100644 index 00000000..58cc2919 Binary files /dev/null and b/docs/public/favicons/favicon-32x32.png differ diff --git a/docs/public/favicons/site.webmanifest b/docs/public/favicons/site.webmanifest new file mode 100644 index 00000000..b20abb7c --- /dev/null +++ b/docs/public/favicons/site.webmanifest @@ -0,0 +1,19 @@ +{ + "name": "", + "short_name": "", + "icons": [ + { + "src": "/android-chrome-192x192.png", + "sizes": "192x192", + "type": "image/png" + }, + { + "src": "/android-chrome-512x512.png", + "sizes": "512x512", + "type": "image/png" + } + ], + "theme_color": "#ffffff", + "background_color": "#ffffff", + "display": "standalone" +} diff --git a/docs/theme.config.jsx b/docs/theme.config.jsx new file mode 100644 index 00000000..279b38d7 --- /dev/null +++ b/docs/theme.config.jsx @@ -0,0 +1,140 @@ +import Image from 'next/image' +import { Analytics } from '@vercel/analytics/react'; + +const github = 'https://github.com/arc53/DocsGPT'; + + + + +import { useConfig, useTheme } from 'nextra-theme-docs'; +import CuteLogo from './public/cute-docsgpt.png'; +const Logo = ({ height, width }) => { + const { theme } = useTheme(); + return ( +
+ DocsGPT logo + + DocsGPT Docs + + +
+ ); +}; + +const config = { + docsRepositoryBase: `${github}/blob/main`, + chat: { + link: 'https://discord.com/invite/n5BX8dh8rU', + }, + banner: { + key: 'docs-launch', + text: ( +
+ Welcome to the new DocsGPT ๐Ÿฆ– docs! ๐Ÿ‘‹ +
+ ), + }, + toc: { + float: true, + }, + project: { + link: github, + }, + darkMode: true, + nextThemes: { + defaultTheme: 'dark', + }, + primaryHue: { + dark: 207, + light: 212, + }, + footer: { + text: `MIT ${new Date().getFullYear()} ยฉ DocsGPT`, + }, + logo() { + return ( +
+ +
+ ); + }, + useNextSeoProps() { + return { + titleTemplate: `%s - DocsGPT Documentation`, + }; + }, + + head() { + const { frontMatter } = useConfig(); + const { theme } = useTheme(); + const title = frontMatter?.title || 'Chat with your data with DocsGPT'; + const description = + frontMatter?.description || + 'Use DocsGPT to chat with your data. DocsGPT is a GPT powered chatbot that can answer questions about your data.' + const image = '/cute-docsgpt.png'; + + const composedTitle = `${title} โ€“ DocsGPT Documentation`; + + return ( + <> + + + + + + + + + + + + + + + + + + + + + ); + }, + sidebar: { + defaultMenuCollapseLevel: 1, + titleComponent: ({ title, type }) => + type === 'separator' ? ( +
+ + {title} + +
+ + ) : ( + <>{title} + + ), + }, + + gitTimestamp: ({ timestamp }) => ( + <>Last updated on {timestamp.toLocaleDateString()} + ), +}; + +export default config; \ No newline at end of file