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CONTRIBUTING.md
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@ -1,41 +1,42 @@
# Welcome to DocsGPT Contributing Guidelines
Thank you for choosing this project to contribute to. We are all very grateful!
Thank you for choosing to contribute to DocsGPT! We are all very grateful!
### [🎉 Join the Hacktoberfest with DocsGPT and Earn a Free T-shirt! 🎉](https://github.com/arc53/DocsGPT/blob/main/HACKTOBERFEST.md)
# We accept different types of contributions
📣 **Discussions** - where you can start a new topic or answer some questions
📣 **Discussions** - Engage in conversations, start new topics, or help answer questions.
🐞 **Issues** - This is how we track tasks, sometimes it is bugs that need fixing, and sometimes it is new features
🐞 **Issues** - This is where we keep track of tasks. It could be bugs,fixes or suggestions for new features.
🛠️ **Pull requests** - This is how you can suggest changes to our repository, to work on existing issues or add new features
🛠️ **Pull requests** - Suggest changes to our repository, either by working on existing issues or adding new features.
📚 **Wiki** - where we have our documentation
📚 **Wiki** - This is where our documentation resides.
## 🐞 Issues and Pull requests
We value contributions to our issues in the form of discussion or suggestions. We recommend that you check out existing issues and our [roadmap](https://github.com/orgs/arc53/projects/2).
We value contributions in the form of discussions or suggestions. We recommend taking a look at existing issues and our [roadmap](https://github.com/orgs/arc53/projects/2).
If you want to contribute by writing code, there are a few things that you should know before doing it:
If you're interested in contributing code, here are some important things to know:
We have a frontend in React (Vite) and backend in Python.
We have a frontend built with React (Vite) and a backend in Python.
### If you are looking to contribute to frontend (⚛️React, Vite):
- The current frontend is being migrated from `/application` to `/frontend` with a new design, so please contribute to the new one.
- The current frontend is being migrated from [`/application`](https://github.com/arc53/DocsGPT/tree/main/application) to [`/frontend`](https://github.com/arc53/DocsGPT/tree/main/frontend) with a new design, so please contribute to the new one.
- Check out this [milestone](https://github.com/arc53/DocsGPT/milestone/1) and its issues.
- The Figma design can be found [here](https://www.figma.com/file/OXLtrl1EAy885to6S69554/DocsGPT?node-id=0%3A1&t=hjWVuxRg9yi5YkJ9-1).
Please try to follow the guidelines.
### If you are looking to contribute to Backend (🐍 Python):
- Check out our issues and contribute to `/application` or `/scripts` (ignore old `ingest_rst.py` `ingest_rst_sphinx.py` files; they will be deprecated soon).
- All new code should be covered with unit tests ([pytest](https://github.com/pytest-dev/pytest)). Please find tests under [`/tests`](https://github.com/arc53/DocsGPT/tree/main/tests) folder.
- Before submitting your PR, ensure it is queryable after ingesting some test data.
- Review our issues and contribute to [`/application`](https://github.com/arc53/DocsGPT/tree/main/application) or [`/scripts`](https://github.com/arc53/DocsGPT/tree/main/scripts) (please disregard old [`ingest_rst.py`](https://github.com/arc53/DocsGPT/blob/main/scripts/old/ingest_rst.py) [`ingest_rst_sphinx.py`](https://github.com/arc53/DocsGPT/blob/main/scripts/old/ingest_rst_sphinx.py) files; they will be deprecated soon).
- All new code should be covered with unit tests ([pytest](https://github.com/pytest-dev/pytest)). Please find tests under [`/tests`](https://github.com/arc53/DocsGPT/tree/main/tests) folder.
- Before submitting your Pull Request, ensure it can be queried after ingesting some test data.
### Testing
To run unit tests from the root of the repository, execute:
@ -44,9 +45,8 @@ python -m pytest
```
### Workflow:
Create a fork, make changes on your forked repository, and submit changes as a pull request.
Fork the repository, make your changes on your forked version, and then submit those changes as a pull request.
## Questions/collaboration
Please join our [Discord](https://discord.gg/n5BX8dh8rU). Don't hesitate; we are very friendly and welcoming to new contributors.
Feel free to join our [Discord](https://discord.gg/n5BX8dh8rU). We're very friendly and welcoming to new contributors, so don't hesitate to reach out.
# Thank you so much for considering contributing to DocsGPT!🙏

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HACKTOBERFEST.md
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@ -17,14 +17,14 @@ Familiarize yourself with the current contributions and our [Roadmap](https://gi
Deciding to contribute with code? Here are some insights based on the area of your interest:
- Frontend (⚛️React, Vite):
- Most of the code is located in `/frontend` folder. You can also check out our React extension in /extensions/react-widget.
- Most of the code is located in [`/frontend`](https://github.com/arc53/DocsGPT/tree/main/frontend) folder. You can also check out our React extension in [`/extensions/react-widget`](https://github.com/arc53/DocsGPT/tree/main/extensions/react-widget).
- For design references, here's the [Figma](https://www.figma.com/file/OXLtrl1EAy885to6S69554/DocsGPT?node-id=0%3A1&t=hjWVuxRg9yi5YkJ9-1).
- Ensure you adhere to the established guidelines.
- Backend (🐍Python):
- Focus on `/application` or `/scripts`. However, avoid the files ingest_rst.py and ingest_rst_sphinx.py, as they will soon be deprecated.
- Focus on [`/application`](https://github.com/arc53/DocsGPT/tree/main/application) or [`/scripts`](https://github.com/arc53/DocsGPT/tree/main/scripts). However, avoid the files [`ingest_rst.py`](https://github.com/arc53/DocsGPT/blob/main/scripts/old/ingest_rst.py) and [`ingest_rst_sphinx.py`](https://github.com/arc53/DocsGPT/blob/main/scripts/old/ingest_rst_sphinx.py), as they will soon be deprecated.
- Newly added code should come with relevant unit tests (pytest).
- Refer to the `/tests` folder for test suites.
- Refer to the [`/tests`](https://github.com/arc53/DocsGPT/tree/main/tests) folder for test suites.
Check out our [Contributing Guidelines](https://github.com/arc53/DocsGPT/blob/main/CONTRIBUTING.md)

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README.md
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@ -7,9 +7,9 @@
</p>
<p align="left">
<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.
<strong><a href="https://docsgpt.arc53.com/">DocsGPT</a></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.
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.
Say goodbye to time-consuming manual searches, and let <strong><a href="https://docsgpt.arc53.com/">DocsGPT</a></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.
</p>
<div align="center">
@ -93,15 +93,15 @@ It will install all the dependencies and allow you to download the local model o
Otherwise, refer to this Guide:
1. Download and open this repository with `git clone https://github.com/arc53/DocsGPT.git`
2. Create a `.env` file in your root directory and set the env variable `OPENAI_API_KEY` with your OpenAI API key and `VITE_API_STREAMING` to true or false, depending on if you want streaming answers or not.
2. Create a `.env` file in your root directory and set the env variable `OPENAI_API_KEY` with your [OpenAI API key](https://platform.openai.com/account/api-keys) and `VITE_API_STREAMING` to true or false, depending on if you want streaming answers or not.
It should look like this inside:
```
API_KEY=Yourkey
VITE_API_STREAMING=true
```
See optional environment variables in the `/.env-template` and `/application/.env_sample` files.
3. Run `./run-with-docker-compose.sh`.
See optional environment variables in the [/.env-template](https://github.com/arc53/DocsGPT/blob/main/.env-template) and [/application/.env_sample](https://github.com/arc53/DocsGPT/blob/main/application/.env_sample) files.
3. Run [./run-with-docker-compose.sh](https://github.com/arc53/DocsGPT/blob/main/run-with-docker-compose.sh).
4. Navigate to http://localhost:5173/.
To stop, just run `Ctrl + C`.
@ -109,7 +109,7 @@ To stop, just run `Ctrl + C`.
## Development environments
### Spin up mongo and redis
For development, only two containers are used from `docker-compose.yaml` (by deleting all services except for Redis and Mongo).
For development, only two containers are used from [docker-compose.yaml](https://github.com/arc53/DocsGPT/blob/main/docker-compose.yaml) (by deleting all services except for Redis and Mongo).
See file [docker-compose-dev.yaml](./docker-compose-dev.yaml).
Run
@ -123,7 +123,7 @@ docker compose -f docker-compose-dev.yaml up -d
Make sure you have Python 3.10 or 3.11 installed.
1. Export required environment variables or prepare a `.env` file in the `/application` folder:
- Copy `.env_sample` and create `.env` with your OpenAI API token for the `API_KEY` and `EMBEDDINGS_KEY` fields.
- Copy [.env_sample](https://github.com/arc53/DocsGPT/blob/main/application/.env_sample) and create `.env` with your OpenAI API token for the `API_KEY` and `EMBEDDINGS_KEY` fields.
(check out [`application/core/settings.py`](application/core/settings.py) if you want to see more config options.)
@ -152,7 +152,7 @@ pip install -r application/requirements.txt
Make sure you have Node version 16 or higher.
1. Navigate to the `/frontend` folder.
1. Navigate to the [/frontend](https://github.com/arc53/DocsGPT/tree/main/frontend) folder.
2. Install dependencies by running `npm install`.
3. Run the app using `npm run dev`.
@ -170,6 +170,6 @@ We as members, contributors, and leaders, pledge to make participation in our co
</a>
## License
The source code license is MIT, as described in the LICENSE file.
The source code license is [MIT](https://opensource.org/license/mit/), as described in the [LICENSE](LICENSE) file.
Built with [🦜️🔗 LangChain](https://github.com/hwchase17/langchain)

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docs/pages/Deploying/Hosting-the-app.md
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@ -18,7 +18,7 @@ After that, it is time to pick your Instance Image. We recommend using "Linux/Un
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".
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.
@ -42,7 +42,7 @@ A terminal window will pop up, and the first step will be to clone the DocsGPT g
#### 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:
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`
@ -64,7 +64,7 @@ Enter the following command to access the folder in which DocsGPT docker-compose
#### Prepare the environment
Inside the DocsGPT folder create a `.env` file and copy the contents of `.env_sample` into it.
Inside the DocsGPT folder, create a `.env` file and copy the contents of `.env_sample` into it.
`nano .env`
@ -95,7 +95,7 @@ You're almost there! Now that all the necessary bits and pieces have been instal
Launching it for the first time will take a few minutes to download all the necessary dependencies and build.
Once this is done you can go ahead and close the terminal window.
Once this is done, you can go ahead and close the terminal window.
#### Enabling ports

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docs/pages/Deploying/Quickstart.md
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@ -1,7 +1,7 @@
## Launching Web App
Note: Make sure you have Docker installed
On Mac OS or Linux just write:
On macOS or Linux, just write:
`./setup.sh`
@ -10,11 +10,11 @@ It will install all the dependencies and give you an option to download the loca
Otherwise, refer to this Guide:
1. Open and download this repository with `git clone https://github.com/arc53/DocsGPT.git`.
2. Create a `.env` file in your root directory and set your `API_KEY` with your [OpenAI api key](https://platform.openai.com/account/api-keys).
2. Create a `.env` file in your root directory and set your `API_KEY` with your [OpenAI API key](https://platform.openai.com/account/api-keys).
3. Run `docker-compose build && docker-compose up`.
4. Navigate to `http://localhost:5173/`.
To stop just run `Ctrl + C`.
To stop, just run `Ctrl + C`.
### Chrome Extension

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docs/pages/Developing/API-docs.md
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@ -18,7 +18,7 @@ fetch("http://127.0.0.1:5000/api/answer", {
.then(console.log.bind(console))
```
In response you will get a json document like this one:
In response, you will get a JSON document like this one:
```json
{
@ -30,7 +30,7 @@ In response you will get a json document like this one:
### /api/docs_check
It will make sure documentation is loaded on a server (just run it every time user is switching between libraries (documentations)).
It's a POST request that sends a JSON in body with 1 value. Here is a JavaScript fetch example:
It's a POST request that sends a JSON in a body with 1 value. Here is a JavaScript fetch example:
```js
// answer (POST http://127.0.0.1:5000/api/docs_check)
@ -45,7 +45,7 @@ fetch("http://127.0.0.1:5000/api/docs_check", {
.then(console.log.bind(console))
```
In response you will get a json document like this one:
In response, you will get a JSON document like this one:
```json
{
"status": "exists"
@ -54,17 +54,17 @@ In response you will get a json document like this one:
### /api/combine
Provides json that tells UI which vectors are available and where they are located with a simple get request.
Provides JSON that tells UI which vectors are available and where they are located with a simple get request.
Response will include:
`date`, `description`, `docLink`, `fullName`, `language`, `location` (local or docshub), `model`, `name`, `version`.
Example of json in Docshub and local:
Example of JSON in Docshub and local:
<img width="295" alt="image" src="https://user-images.githubusercontent.com/15183589/224714085-f09f51a4-7a9a-4efb-bd39-798029bb4273.png">
### /api/upload
Uploads file that needs to be trained, response is json with task id, which can be used to check on tasks progress
Uploads file that needs to be trained, response is JSON with task ID, which can be used to check on task's progress
HTML example:
```html
@ -104,7 +104,7 @@ fetch("http://localhost:5001/api/task_status?task_id=b2d2a0f4-387c-44fd-a443-e4f
Responses:
There are two types of responses:
1. while task it still running, where "current" will show progress from 0 to 100
1. While task is still running, where "current" will show progress from 0 to 100
```json
{
"result": {

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docs/pages/Extensions/Chatwoot-extension.md
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@ -13,7 +13,7 @@ chatwoot_token=<from part 2>
5. 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.
If you want for bot to stop responding to questions for a specific user or session, just add a label `human-requested` in your conversation.
### Optional (extra validation)
@ -26,4 +26,4 @@ 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.
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.

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docs/pages/Extensions/react-widget.md
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@ -4,7 +4,7 @@
Got to your project and install a new dependency: `npm install docsgpt`.
### Usage
Go to your project and in the file where you want to use the widget import it:
Go to your project and in the file where you want to use the widget, import it:
```js
import { DocsGPTWidget } from "docsgpt";
import "docsgpt/dist/style.css";
@ -14,12 +14,12 @@ import "docsgpt/dist/style.css";
Then you can use it like this: `<DocsGPTWidget />`
DocsGPTWidget takes 3 props:
- `apiHost` — url of your DocsGPT API.
- `selectDocs` — documentation that you want to use for your widget (eg. `default` or `local/docs1.zip`).
- `apiKey` — usually its empty.
- `apiHost` — URL of your DocsGPT API.
- `selectDocs` — documentation that you want to use for your widget (e.g. `default` or `local/docs1.zip`).
- `apiKey` — usually it's empty.
### How to use DocsGPTWidget with [Nextra](https://nextra.site/) (Next.js + MDX)
Install you widget as described above and then go to your `pages/` folder and create a new file `_app.js` with the following content:
Install your widget as described above and then go to your `pages/` folder and create a new file `_app.js` with the following content:
```js
import { DocsGPTWidget } from "docsgpt";
import "docsgpt/dist/style.css";

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docs/pages/Guides/Customising-prompts.md
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@ -1,4 +1,4 @@
## To customize a main prompt navigate to `/application/prompt/combine_prompt.txt`
## To customize a main prompt, navigate to `/application/prompt/combine_prompt.txt`
You can try editing it to see how the model responses.

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docs/pages/Guides/How-to-train-on-other-documentation.md
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@ -5,18 +5,18 @@ This AI can use any documentation, but first it needs to be prepared for similar
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`.
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$.
It currently uses OPEN_AI to create the 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.
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
- 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)
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
@ -32,7 +32,7 @@ It will tell you how much it will cost
### 5. Run web app
Once you run it will use new context that is relevant to your documentation
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
## Customization
@ -41,7 +41,7 @@ You can learn more about options while running ingest.py by running:
`python ingest.py --help`
| Options | |
|:--------------------------------:|:------------------------------------------------------------------------------------------------------------------------------:|
| **ingest** | Runs 'ingest' function converting documentation to Faiss plus Index format |
| **ingest** | Runs 'ingest' function, converting documentation 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] |
@ -56,4 +56,4 @@ You can learn more about options while running ingest.py by running:
| | |
| **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] |
| --formats TEXT | Source code language from which to create documentation. Supports py, js and java. E.g. --formats py [default: py] |

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docs/pages/Guides/How-to-use-different-LLM.md
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@ -1,4 +1,4 @@
Fortunately there are many providers for LLM's and some of them can even be ran locally
Fortunately, there are many providers for LLM's and some of them can even be run locally
There are two models used in the app:
1. Embeddings.
@ -29,4 +29,4 @@ That's it!
### Hosting everything locally and privately (for using our optimised open-source models)
If you are working with important data and don't 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 that's on Hugging Face.
Make sure you set `SELF_HOSTED_MODEL` as true in your `.env` variable and for your `LLM_NAME` you can use anything that's on Hugging Face.

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docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.md
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@ -1,4 +1,4 @@
If your AI uses external knowledge and is not explicit enough it is ok, because we try to make docsgpt friendly.
If your AI uses external knowledge and is not explicit enough, it is ok, because we try to make docsgpt friendly.
But if you want to adjust it, here is a simple way.

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frontend/.env.development
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@ -1,3 +1,3 @@
# Please put appropriate value
VITE_API_HOST=http://localhost:7091
VITE_API_HOST=http://0.0.0.0:7091
VITE_API_STREAMING=true

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frontend/package-lock.json generated
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@ -11,6 +11,7 @@
"@reduxjs/toolkit": "^1.9.2",
"@vercel/analytics": "^0.1.10",
"react": "^18.2.0",
"react-copy-to-clipboard": "^5.1.0",
"react-dom": "^18.2.0",
"react-dropzone": "^14.2.3",
"react-markdown": "^8.0.7",
@ -2248,6 +2249,14 @@
"integrity": "sha512-ASFBup0Mz1uyiIjANan1jzLQami9z1PoYSZCiiYW2FczPbenXc45FZdBZLzOT+r6+iciuEModtmCti+hjaAk0A==",
"dev": true
},
"node_modules/copy-to-clipboard": {
"version": "3.3.3",
"resolved": "https://registry.npmjs.org/copy-to-clipboard/-/copy-to-clipboard-3.3.3.tgz",
"integrity": "sha512-2KV8NhB5JqC3ky0r9PMCAZKbUHSwtEo4CwCs0KXgruG43gX5PMqDEBbVU4OUzw2MuAWUfsuFmWvEKG5QRfSnJA==",
"dependencies": {
"toggle-selection": "^1.0.6"
}
},
"node_modules/cosmiconfig": {
"version": "7.1.0",
"resolved": "https://registry.npmjs.org/cosmiconfig/-/cosmiconfig-7.1.0.tgz",
@ -6072,6 +6081,18 @@
"node": ">=0.10.0"
}
},
"node_modules/react-copy-to-clipboard": {
"version": "5.1.0",
"resolved": "https://registry.npmjs.org/react-copy-to-clipboard/-/react-copy-to-clipboard-5.1.0.tgz",
"integrity": "sha512-k61RsNgAayIJNoy9yDsYzDe/yAZAzEbEgcz3DZMhF686LEyukcE1hzurxe85JandPUG+yTfGVFzuEw3xt8WP/A==",
"dependencies": {
"copy-to-clipboard": "^3.3.1",
"prop-types": "^15.8.1"
},
"peerDependencies": {
"react": "^15.3.0 || 16 || 17 || 18"
}
},
"node_modules/react-dom": {
"version": "18.2.0",
"resolved": "https://registry.npmjs.org/react-dom/-/react-dom-18.2.0.tgz",
@ -6907,6 +6928,11 @@
"node": ">=8.0"
}
},
"node_modules/toggle-selection": {
"version": "1.0.6",
"resolved": "https://registry.npmjs.org/toggle-selection/-/toggle-selection-1.0.6.tgz",
"integrity": "sha512-BiZS+C1OS8g/q2RRbJmy59xpyghNBqrr6k5L/uKBGRsTfxmu3ffiRnd8mlGPUVayg8pvfi5urfnu8TU7DVOkLQ=="
},
"node_modules/trim-lines": {
"version": "3.0.1",
"resolved": "https://registry.npmjs.org/trim-lines/-/trim-lines-3.0.1.tgz",

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@ -22,6 +22,7 @@
"@reduxjs/toolkit": "^1.9.2",
"@vercel/analytics": "^0.1.10",
"react": "^18.2.0",
"react-copy-to-clipboard": "^5.1.0",
"react-dom": "^18.2.0",
"react-dropzone": "^14.2.3",
"react-markdown": "^8.0.7",

10
frontend/src/About.tsx
Unescape Escape View File

@ -4,7 +4,7 @@
export default function About() {
return (
<div className="mx-5 grid min-h-screen md:mx-36">
<article className=" place-items-left mx-auto my-auto flex w-full max-w-6xl flex-col gap-6 rounded-3xl bg-gray-100 p-6 pt-14 pb-14 text-jet lg:p-10 xl:p-16">
<article className="place-items-left mx-auto my-auto flex w-full max-w-6xl flex-col gap-6 rounded-3xl bg-gray-100 p-6 mt-20 text-jet lg:p-10 xl:p-16">
<div className="flex items-center">
<p className="mr-2 text-3xl">About DocsGPT</p>
<p className="text-[21px]">🦖</p>
@ -51,9 +51,11 @@ export default function About() {
</div>
<p>
Currently It uses <span className= "text-blue-950 font-medium">DocsGPT</span> documentation, so it will respond to
information relevant to <span className= "text-blue-950 font-medium">DocsGPT</span> . If you want to train it on different
documentation - please follow
Currently It uses{' '}
<span className="text-blue-950 font-medium">DocsGPT</span>{' '}
documentation, so it will respond to information relevant to{' '}
<span className="text-blue-950 font-medium">DocsGPT</span> . If you
want to train it on different documentation - please follow
<a
className="text-blue-500"
href="https://github.com/arc53/DocsGPT/wiki/How-to-train-on-other-documentation"

2
frontend/src/App.tsx
Unescape Escape View File

@ -19,7 +19,7 @@ export default function App() {
className={`transition-all duration-200 ${
!isMobile
? `ml-0 ${
!navOpen ? '-mt-5 md:mx-auto lg:mx-auto' : 'md:ml-72 lg:ml-60'
!navOpen ? '-mt-5 md:mx-auto lg:mx-auto' : 'md:ml-72'
}`
: 'ml-0 md:ml-16'
}`}

52
frontend/src/Hero.tsx
Unescape Escape View File

@ -5,26 +5,28 @@ export default function Hero({ className = '' }: { className?: string }) {
<p className="mr-2 text-4xl font-semibold">DocsGPT</p>
<p className="text-[27px]">🦖</p>
</div>
<p className="mb-2 text-center text-sm font-normal leading-6 text-black-1000">
<p className="mb-3 text-center leading-6 text-black-1000">
Welcome to DocsGPT, your technical documentation assistant!
</p>
<p className="mb-2 text-center text-sm font-normal leading-6 text-black-1000 ">
<p className="mb-3 text-center leading-6 text-black-1000">
Enter a query related to the information in the documentation you
selected to receive and we will provide you with the most relevant
answers.
selected to receive
<br /> and we will provide you with the most relevant answers.
</p>
<p className="mb-2 text-center text-sm font-normal leading-6 text-black-1000 ">
<p className="mb-3 text-center leading-6 text-black-1000">
Start by entering your query in the input field below and we will do the
rest!
</p>
<div className="sections mt-7 flex flex-wrap items-center justify-center gap-1 sm:gap-1 md:gap-0 ">
<div className=" rounded-[28px] bg-gradient-to-l from-[#6EE7B7]/70 via-[#3B82F6] to-[#9333EA]/50 p-1 md:rounded-tr-none md:rounded-br-none">
<div className="h-full rounded-[25px] bg-white p-6 md:rounded-tr-none md:rounded-br-none">
<img src="/message-text.svg" alt="lock" className="h-7 w-7" />
<h2 className="mt-2 mb-5 text-base font-normal leading-6">
Chat with Your Data
</h2>
<p className="w-[300px] text-sm font-normal leading-6 text-black-1000">
<div className="sections mt-1 flex flex-wrap items-center justify-center gap-1 sm:gap-1 md:gap-0 ">
<div className=" rounded-[50px] bg-gradient-to-l from-[#6EE7B7]/70 via-[#3B82F6] to-[#9333EA]/50 p-1 md:rounded-tr-none md:rounded-br-none">
<div className="h-full rounded-[45px] bg-white p-6 md:rounded-tr-none md:rounded-br-none">
<img
src="/message-text.svg"
alt="lock"
className="h-[24px] w-[24px]"
/>
<h2 className="mt-2 mb-3 text-lg font-bold">Chat with Your Data</h2>
<p className="w-[250px] text-xs text-gray-500">
DocsGPT will use your data to answer questions. Whether its
documentation, source code, or Microsoft files, DocsGPT allows you
to have interactive conversations and find answers based on the
@ -33,13 +35,11 @@ export default function Hero({ className = '' }: { className?: string }) {
</div>
</div>
<div className=" rounded-[28px] bg-gradient-to-r from-[#6EE7B7]/70 via-[#3B82F6] to-[#9333EA]/50 p-1 md:rounded-none md:py-1 md:px-0">
<div className="rounded-[25px] bg-white px-6 py-6 md:rounded-none">
<img src="/lock.svg" alt="lock" className="h-7 w-7" />
<h2 className="mt-2 mb-5 text-base font-normal leading-6">
Secure Data Storage
</h2>
<p className=" w-[300px] text-sm font-normal leading-6 text-black-1000">
<div className=" rounded-[50px] bg-gradient-to-r from-[#6EE7B7]/70 via-[#3B82F6] to-[#9333EA]/50 p-1 md:rounded-none md:py-1 md:px-0">
<div className="rounded-[45px] bg-white px-6 py-4 md:rounded-none">
<img src="/lock.svg" alt="lock" className="h-[24px] w-[24px]" />
<h2 className="mt-2 mb-3 text-lg font-bold">Secure Data Storage</h2>
<p className=" w-[250px] text-xs text-gray-500">
The security of your data is our top priority. DocsGPT ensures the
utmost protection for your sensitive information. With secure data
storage and privacy measures in place, you can trust that your
@ -47,17 +47,15 @@ export default function Hero({ className = '' }: { className?: string }) {
</p>
</div>
</div>
<div className=" rounded-[28px] bg-gradient-to-l from-[#6EE7B7]/80 via-[#3B82F6] to-[#9333EA]/50 p-1 md:rounded-tl-none md:rounded-bl-none">
<div className="rounded-[25px] bg-white p-6 px-6 lg:rounded-tl-none lg:rounded-bl-none">
<div className=" rounded-[50px] bg-gradient-to-l from-[#6EE7B7]/80 via-[#3B82F6] to-[#9333EA]/50 p-1 md:rounded-tl-none md:rounded-bl-none">
<div className="rounded-[45px] bg-white p-6 px-6 lg:rounded-tl-none lg:rounded-bl-none">
<img
src="/message-programming.svg"
alt="lock"
className="h-7 w-7"
className="h-[24px] w-[24px]"
/>
<h2 className="mt-2 mb-5 text-base font-normal leading-6">
Open Source Code
</h2>
<p className=" w-[300px] text-sm font-normal leading-6 text-black-1000">
<h2 className="mt-2 mb-3 text-lg font-bold">Open Source Code</h2>
<p className=" w-[250px] text-xs text-gray-500">
DocsGPT is built on open source principles, promoting transparency
and collaboration. The source code is freely available, enabling
developers to contribute, enhance, and customize the app to meet

2
frontend/src/Navigation.tsx
Unescape Escape View File

@ -252,7 +252,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) {
<div className="flex flex-col-reverse border-b-2">
<div className="relative my-4 flex gap-2 px-2">
<div
className="flex h-12 min-w-[85%] cursor-pointer justify-between rounded-3xl rounded-md border-2 bg-white"
className="flex h-12 w-full cursor-pointer justify-between rounded-3xl border-2 bg-white"
onClick={() => setIsDocsListOpen(!isDocsListOpen)}
>
{selectedDocs && (

3
frontend/src/assets/checkmark.svg
Unescape Escape View File

@ -0,0 +1,3 @@
<svg width="14" height="10" viewBox="0 0 14 10" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M13.7617 1.34847L5.14891 9.76785C5.0739 9.84143 4.98476 9.89982 4.88661 9.93965C4.78847 9.97949 4.68324 10 4.57697 10C4.4707 10 4.36547 9.97949 4.26732 9.93965C4.16917 9.89982 4.08004 9.84143 4.00502 9.76785L0.236908 6.08437C0.161799 6.01095 0.102219 5.92378 0.0615703 5.82785C0.0209216 5.73192 1.11921e-09 5.6291 0 5.52527C-1.11921e-09 5.42143 0.0209216 5.31862 0.0615703 5.22269C0.102219 5.12676 0.161799 5.03959 0.236908 4.96617C0.312017 4.89275 0.401184 4.83451 0.499319 4.79477C0.597453 4.75503 0.702634 4.73458 0.808854 4.73458C0.915074 4.73458 1.02025 4.75503 1.11839 4.79477C1.21652 4.83451 1.30569 4.89275 1.3808 4.96617L4.57764 8.09121L12.6192 0.231586C12.7709 0.083304 12.9766 0 13.1911 0C13.4057 0 13.6114 0.083304 13.7631 0.231586C13.9148 0.379869 14 0.580983 14 0.790686C14 1.00039 13.9148 1.2015 13.7631 1.34978L13.7617 1.34847Z" fill="#13A10E"/>
</svg>
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3
frontend/src/assets/copy.svg
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@ -0,0 +1,3 @@
<svg width="14" height="17" stroke-width="1.15" viewBox="0 0 14 17" >
<path d="M13.8013 5.01282L8.80645 0.191795C8.67953 0.0691399 8.50734 0.000152609 8.32774 0H6.09677C5.43801 0 4.80623 0.252586 4.34041 0.702193C3.8746 1.1518 3.6129 1.7616 3.6129 2.39744V3.48718H2.48387C1.82511 3.48718 1.19332 3.73977 0.727509 4.18937C0.261693 4.63898 0 5.24878 0 5.88462V14.6026C0 15.2384 0.261693 15.8482 0.727509 16.2978C1.19332 16.7474 1.82511 17 2.48387 17H8.80645C9.46521 17 10.097 16.7474 10.5628 16.2978C11.0286 15.8482 11.2903 15.2384 11.2903 14.6026V13.5128H11.5161C12.1749 13.5128 12.8067 13.2602 13.2725 12.8106C13.7383 12.361 14 11.7512 14 11.1154V5.44872C13.9929 5.28447 13.9219 5.12884 13.8013 5.01282ZM9.03226 2.23179L11.6877 4.79487H9.03226V2.23179ZM9.93548 14.6026C9.93548 14.8916 9.81653 15.1688 9.6048 15.3731C9.39306 15.5775 9.10589 15.6923 8.80645 15.6923H2.48387C2.18443 15.6923 1.89726 15.5775 1.68552 15.3731C1.47379 15.1688 1.35484 14.8916 1.35484 14.6026V5.88462C1.35484 5.5956 1.47379 5.31842 1.68552 5.11405C1.89726 4.90968 2.18443 4.79487 2.48387 4.79487H3.6129V11.1154C3.6129 11.7512 3.8746 12.361 4.34041 12.8106C4.80623 13.2602 5.43801 13.5128 6.09677 13.5128H9.93548V14.6026ZM11.5161 12.2051H6.09677C5.79734 12.2051 5.51016 12.0903 5.29843 11.886C5.08669 11.6816 4.96774 11.4044 4.96774 11.1154V2.39744C4.96774 2.10842 5.08669 1.83124 5.29843 1.62687C5.51016 1.4225 5.79734 1.30769 6.09677 1.30769H7.67742V5.44872C7.67976 5.62143 7.75188 5.78643 7.87842 5.90856C8.00496 6.03069 8.1759 6.10031 8.35484 6.10256H12.6452V11.1154C12.6452 11.4044 12.5262 11.6816 12.3145 11.886C12.1027 12.0903 11.8156 12.2051 11.5161 12.2051Z" fill="#949494"/>
</svg>
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10
frontend/src/conversation/Conversation.tsx
Unescape Escape View File

@ -81,7 +81,7 @@ export default function Conversation() {
responseView = (
<ConversationBubble
ref={endMessageRef}
className={`${index === queries.length - 1 ? 'mb-24' : 'mb-7'}`}
className={`${index === queries.length - 1 ? 'mb-32' : 'mb-7'}`}
key={`${index}ERROR`}
message={query.error}
type="ERROR"
@ -91,7 +91,7 @@ export default function Conversation() {
responseView = (
<ConversationBubble
ref={endMessageRef}
className={`${index === queries.length - 1 ? 'mb-24' : 'mb-7'}`}
className={`${index === queries.length - 1 ? 'mb-32' : 'mb-7'}`}
key={`${index}ANSWER`}
message={query.response}
type={'ANSWER'}
@ -134,7 +134,7 @@ export default function Conversation() {
return (
<Fragment key={index}>
<ConversationBubble
className={'mb-7'}
className={'last:mb-27 mb-7'}
key={`${index}QUESTION`}
message={query.prompt}
type="QUESTION"
@ -149,14 +149,14 @@ export default function Conversation() {
{queries.length === 0 && (
<Hero className="mt-24 h-[100vh] md:mt-52"></Hero>
)}
<div className="relative bottom-0 flex w-10/12 flex-col items-end self-center md:fixed md:w-[50%]">
<div className="relative bottom-0 flex w-10/12 flex-col items-end self-center bg-white pt-3 md:fixed md:w-[65%]">
<div className="flex h-full w-full">
<div
ref={inputRef}
placeholder="Type your message here..."
contentEditable
onPaste={handlePaste}
className={`border-000000 overflow-x-hidden; max-h-24 min-h-[2.6rem] w-full overflow-y-auto whitespace-pre-wrap rounded-xl border bg-white py-2 pl-4 pr-9 leading-7 opacity-100 focus:outline-none`}
className={`border-000000 overflow-x-hidden; max-h-24 min-h-[2.6rem] w-full overflow-y-auto whitespace-pre-wrap rounded-3xl border bg-white py-2 pl-4 pr-9 text-base leading-7 opacity-100 focus:outline-none`}
onKeyDown={(e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();

30
frontend/src/conversation/ConversationBubble.tsx
Unescape Escape View File

@ -4,7 +4,10 @@ import { FEEDBACK, MESSAGE_TYPE } from './conversationModels';
import Alert from './../assets/alert.svg';
import { ReactComponent as Like } from './../assets/like.svg';
import { ReactComponent as Dislike } from './../assets/dislike.svg';
import { ReactComponent as Copy } from './../assets/copy.svg';
import { ReactComponent as Checkmark } from './../assets/checkmark.svg';
import ReactMarkdown from 'react-markdown';
import copy from 'copy-to-clipboard';
import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
import { vscDarkPlus } from 'react-syntax-highlighter/dist/cjs/styles/prism';
@ -26,6 +29,17 @@ const ConversationBubble = forwardRef<
) {
const [showFeedback, setShowFeedback] = useState(false);
const [openSource, setOpenSource] = useState<number | null>(null);
const [copied, setCopied] = useState(false);
const handleCopyClick = (text: string) => {
copy(text);
setCopied(true);
// Reset copied to false after a few seconds
setTimeout(() => {
setCopied(false);
}, 2000);
};
const List = ({
ordered,
children,
@ -138,6 +152,22 @@ const ConversationBubble = forwardRef<
</div>
</div>
</div>
<div
className={`mr-2 flex items-center justify-center ${
type !== 'ERROR' && showFeedback ? '' : 'md:invisible'
}`}
>
{copied ? (
<Checkmark />
) : (
<Copy
className={`cursor-pointer fill-gray-4000 hover:stroke-gray-4000`}
onClick={() => {
handleCopyClick(message);
}}
></Copy>
)}
</div>
<div
className={`mr-2 flex items-center justify-center ${
feedback === 'LIKE' || (type !== 'ERROR' && showFeedback)

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