From 3e1f9ddc74f16b8baeedb690ee73e26976c937e7 Mon Sep 17 00:00:00 2001 From: Carmen Marcos Date: Sun, 3 Dec 2023 00:18:45 +0100 Subject: [PATCH] Frontend modifications --- .github/ISSUE_TEMPLATE/bug_report.yml | 138 ---------- .github/ISSUE_TEMPLATE/feature_request.yml | 54 ---- .github/PULL_REQUEST_TEMPLATE.md | 5 - .github/workflows/sync_fork.yaml | 1 - Assets/DocsGPT tee-back.jpeg | Bin 90358 -> 0 bytes Assets/DocsGPT tee-front.jpeg | Bin 21921 -> 0 bytes CODE_OF_CONDUCT.md | 124 --------- CONTRIBUTING.md | 128 --------- application/core/settings.py | 2 +- .../indexes/local/data_en.txt/index.faiss | Bin 7206957 -> 7206957 bytes .../indexes/local/data_en.txt/index.pkl | Bin 7253935 -> 7253935 bytes docs/README.md | 51 ---- docs/pages/Deploying/Hosting-the-app.md | 109 -------- docs/pages/Deploying/Quickstart.md | 128 --------- docs/pages/Deploying/Railway-Deploying.md | 254 ------------------ docs/pages/Deploying/_meta.json | 14 - docs/pages/Developing/API-docs.md | 229 ---------------- docs/pages/Developing/_meta.json | 6 - docs/pages/Extensions/Chatwoot-extension.md | 44 --- docs/pages/Extensions/_meta.json | 10 - docs/pages/Extensions/react-widget.md | 47 ---- docs/pages/Guides/Customising-prompts.md | 27 -- .../How-to-train-on-other-documentation.md | 63 ----- docs/pages/Guides/How-to-use-different-LLM.md | 48 ---- ...wers-questions-using-external-knowledge.md | 21 -- docs/pages/Guides/_meta.json | 18 -- docs/pages/_app.js | 11 - docs/pages/index.mdx | 32 +-- docs/public/favicons/logo_city_Lau.png | Bin 0 -> 11042 bytes docs/public/logo_city_Lau.png | Bin 0 -> 11042 bytes docs/theme.config.jsx | 26 +- frontend/index.html | 4 +- frontend/public/favicon.ico | Bin 15086 -> 0 bytes frontend/public/lauzhack-logo-small.ico | Bin 0 -> 10462 bytes frontend/public/lauzhack-logo.ico | Bin 0 -> 59326 bytes frontend/src/About.tsx | 85 +----- frontend/src/Hero.tsx | 40 +-- frontend/src/Navigation.tsx | 6 +- frontend/src/assets/cute_docsgpt3.svg | 10 +- frontend/src/assets/swisscom-vector.svg | 1 + frontend/src/conversation/Conversation.tsx | 2 +- .../src/conversation/ConversationBubble.tsx | 2 +- frontend/src/preferences/APIKeyModal.tsx | 2 +- frontend/src/upload/Upload.tsx | 2 +- package-lock.json | 2 +- scripts/old/__init__.py | 0 scripts/old/ingest_rst.py | 90 ------- scripts/old/ingest_rst_sphinx.py | 133 --------- 48 files changed, 49 insertions(+), 1920 deletions(-) delete mode 100644 .github/ISSUE_TEMPLATE/bug_report.yml delete mode 100644 .github/ISSUE_TEMPLATE/feature_request.yml delete mode 100644 .github/PULL_REQUEST_TEMPLATE.md delete mode 100644 Assets/DocsGPT tee-back.jpeg delete mode 100644 Assets/DocsGPT tee-front.jpeg delete mode 100644 CODE_OF_CONDUCT.md delete mode 100644 CONTRIBUTING.md delete mode 100644 docs/README.md delete mode 100644 docs/pages/Deploying/Hosting-the-app.md delete mode 100644 docs/pages/Deploying/Quickstart.md delete mode 100644 docs/pages/Deploying/Railway-Deploying.md delete mode 100644 docs/pages/Deploying/_meta.json delete mode 100644 docs/pages/Developing/API-docs.md delete mode 100644 docs/pages/Developing/_meta.json delete mode 100644 docs/pages/Extensions/Chatwoot-extension.md delete mode 100644 docs/pages/Extensions/_meta.json delete mode 100644 docs/pages/Extensions/react-widget.md delete mode 100644 docs/pages/Guides/Customising-prompts.md delete mode 100644 docs/pages/Guides/How-to-train-on-other-documentation.md delete mode 100644 docs/pages/Guides/How-to-use-different-LLM.md delete mode 100644 docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.md delete mode 100644 docs/pages/Guides/_meta.json delete mode 100644 docs/pages/_app.js create mode 100644 docs/public/favicons/logo_city_Lau.png create mode 100644 docs/public/logo_city_Lau.png delete mode 100644 frontend/public/favicon.ico create mode 100644 frontend/public/lauzhack-logo-small.ico create mode 100644 frontend/public/lauzhack-logo.ico create mode 100644 frontend/src/assets/swisscom-vector.svg delete mode 100644 scripts/old/__init__.py delete mode 100644 scripts/old/ingest_rst.py delete mode 100644 scripts/old/ingest_rst_sphinx.py diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml deleted file mode 100644 index ec0a9f26..00000000 --- a/.github/ISSUE_TEMPLATE/bug_report.yml +++ /dev/null @@ -1,138 +0,0 @@ -name: "πŸ› Bug Report" -description: "Submit a bug report to help us improve" -title: "πŸ› Bug Report: " -labels: ["type: bug"] -body: - - type: markdown - attributes: - value: We value your time and your efforts to submit this bug report is appreciated. πŸ™ - - - type: textarea - id: description - validations: - required: true - attributes: - label: "πŸ“œ Description" - description: "A clear and concise description of what the bug is." - placeholder: "It bugs out when ..." - - - type: textarea - id: steps-to-reproduce - validations: - required: true - attributes: - label: "πŸ‘Ÿ Reproduction steps" - description: "How do you trigger this bug? Please walk us through it step by step." - placeholder: "1. Go to '...' - 2. Click on '....' - 3. Scroll down to '....' - 4. See error" - - - type: textarea - id: expected-behavior - validations: - required: true - attributes: - label: "πŸ‘ Expected behavior" - description: "What did you think should happen?" - placeholder: "It should ..." - - - type: textarea - id: actual-behavior - validations: - required: true - attributes: - label: "πŸ‘Ž Actual Behavior with Screenshots" - description: "What did actually happen? Add screenshots, if applicable." - placeholder: "It actually ..." - - - type: dropdown - id: operating-system - attributes: - label: "πŸ’» Operating system" - description: "What OS is your app running on?" - options: - - Linux - - MacOS - - Windows - - Something else - validations: - required: true - - - type: dropdown - id: browsers - attributes: - label: What browsers are you seeing the problem on? - multiple: true - options: - - Firefox - - Chrome - - Safari - - Microsoft Edge - - Something else - - - type: dropdown - id: dev-environment - validations: - required: true - attributes: - label: "πŸ€– What development environment are you experiencing this bug on?" - options: - - Docker - - Local dev server - - - type: textarea - id: env-vars - validations: - required: false - attributes: - label: "πŸ”’ Did you set the correct environment variables in the right path? List the environment variable names (not values please!)" - description: "Please refer to the [Project setup instructions](https://github.com/arc53/DocsGPT#quickstart) if you are unsure." - placeholder: "It actually ..." - - - type: textarea - id: additional-context - validations: - required: false - attributes: - label: "πŸ“ƒ Provide any additional context for the Bug." - description: "Add any other context about the problem here." - placeholder: "It actually ..." - - - type: textarea - id: logs - validations: - required: false - attributes: - label: πŸ“– Relevant log output - description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks. - render: shell - - - type: checkboxes - id: no-duplicate-issues - attributes: - label: "πŸ‘€ Have you spent some time to check if this bug has been raised before?" - options: - - label: "I checked and didn't find similar issue" - required: true - - - type: dropdown - id: willing-to-submit-pr - attributes: - label: πŸ”— Are you willing to submit PR? - description: This is absolutely not required, but we are happy to guide you in the contribution process. - options: # Added options key - - "Yes, I am willing to submit a PR!" - - "No" - validations: - required: false - - - - type: checkboxes - id: terms - attributes: - label: πŸ§‘β€βš–οΈ Code of Conduct - description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/arc53/DocsGPT/blob/main/CODE_OF_CONDUCT.md) - options: - - label: I agree to follow this project's Code of Conduct - required: true diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml deleted file mode 100644 index 34323234..00000000 --- a/.github/ISSUE_TEMPLATE/feature_request.yml +++ /dev/null @@ -1,54 +0,0 @@ -name: πŸš€ Feature -description: "Submit a proposal for a new feature" -title: "πŸš€ Feature: " -labels: [feature] -body: - - type: markdown - attributes: - value: We value your time and your efforts to submit this bug report is appreciated. πŸ™ - - type: textarea - id: feature-description - validations: - required: true - attributes: - label: "πŸ”– Feature description" - description: "A clear and concise description of what the feature is." - placeholder: "You should add ..." - - type: textarea - id: pitch - validations: - required: true - attributes: - label: "🎀 Why is this feature needed ?" - description: "Please explain why this feature should be implemented and how it would be used. Add examples, if applicable." - placeholder: "In my use-case, ..." - - type: textarea - id: solution - validations: - required: true - attributes: - label: "✌️ How do you aim to achieve this?" - description: "A clear and concise description of what you want to happen." - placeholder: "I want this feature to, ..." - - type: textarea - id: alternative - validations: - required: false - attributes: - label: "πŸ”„οΈ Additional Information" - description: "A clear and concise description of any alternative solutions or additional solutions you've considered." - placeholder: "I tried, ..." - - type: checkboxes - id: no-duplicate-issues - attributes: - label: "πŸ‘€ Have you spent some time to check if this feature request has been raised before?" - options: - - label: "I checked and didn't find similar issue" - required: true - - type: dropdown - id: willing-to-submit-pr - attributes: - label: Are you willing to submit PR? - description: This is absolutely not required, but we are happy to guide you in the contribution process. - options: - - "Yes I am willing to submit a PR!" diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md deleted file mode 100644 index 925606ba..00000000 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ /dev/null @@ -1,5 +0,0 @@ -- **What kind of change does this PR introduce?** (Bug fix, feature, docs update, ...) - -- **Why was this change needed?** (You can also link to an open issue here) - -- **Other information**: \ No newline at end of file diff --git a/.github/workflows/sync_fork.yaml b/.github/workflows/sync_fork.yaml index 81f222bb..c40a8413 100644 --- a/.github/workflows/sync_fork.yaml +++ b/.github/workflows/sync_fork.yaml @@ -36,6 +36,5 @@ jobs: - name: Sync check if: failure() run: | - echo "::error::η”±δΊŽζƒι™δΈθΆ³οΌŒε―Όθ‡΄εŒζ­₯ε€±θ΄₯οΌˆθΏ™ζ˜―ι’„ζœŸηš„θ‘ŒδΈΊοΌ‰οΌŒθ―·ε‰εΎ€δ»“εΊ“ι¦–ι‘΅ζ‰‹εŠ¨ζ‰§θ‘Œ[Sync fork]。" echo "::error::Due to insufficient permissions, synchronization failed (as expected). 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your contribution using: - ```shell - git checkout -b your-branch-name - ``` - -5. **Make Changes:** - - Make the required changes in your branch. - -6. **Add Changes to the Staging Area:** - - Add your changes to the staging area using: - ```shell - git add . - ``` - -7. **Commit Your Changes:** - - Commit your changes with a descriptive commit message using: - ```shell - git commit -m "Your descriptive commit message" - ``` - -8. **Push Your Changes to the Remote Repository:** - - Push your branch with changes to your fork on GitHub using: - ```shell - git push origin your-branch-name - ``` - -9. **Submit a Pull Request (PR):** - - Create a Pull Request from your branch to the main repository. Make sure to include a detailed description of your changes and reference any related issues. - -10. **Collaborate:** - - Be responsive to comments and feedback on your PR. - - Make necessary updates as suggested. - - Once your PR is approved, it will be merged into the main repository. - -11. **Testing:** - - Before submitting a Pull Request, ensure your code passes all unit tests. - - To run unit tests from the root of the repository, execute: - ```shell - python -m pytest - ``` - -*Note: You should run the unit test only after making the changes to the backend code.* - -12. **Questions and Collaboration:** - - Feel free to join our Discord. We're very friendly and welcoming to new contributors, so don't hesitate to reach out. - -Thank you for considering contributing to DocsGPT! πŸ™ - -## Questions/collaboration -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 to contribute DocsGPT!πŸ™ diff --git a/application/core/settings.py b/application/core/settings.py index 25a3295d..fb93135f 100644 --- a/application/core/settings.py +++ b/application/core/settings.py @@ -30,7 +30,7 @@ class Settings(BaseSettings): ELASTIC_USERNAME: str = None # username for elasticsearch ELASTIC_PASSWORD: str = None # password for elasticsearch ELASTIC_URL: str = None # url for elasticsearch - ELASTIC_INDEX: str = "docsgpt" # index name for elasticsearch + ELASTIC_INDEX: str = "lauzcom" # index name for elasticsearch # SageMaker config SAGEMAKER_ENDPOINT: str = None # SageMaker endpoint name diff --git a/application/indexes/local/data_en.txt/index.faiss b/application/indexes/local/data_en.txt/index.faiss index 1ca98d0b58538154e110479b98d8e47bb48c57ed..3cc1d41d3f3a7e99fa2ceb29d8c26850eac149cc 100644 GIT binary patch delta 378334 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a/docs/README.md b/docs/README.md deleted file mode 100644 index 4b90b598..00000000 --- a/docs/README.md +++ /dev/null @@ -1,51 +0,0 @@ -# nextra-docsgpt - -## Setting Up Docs Folder of DocsGPT Locally - -### 1. Clone the DocsGPT repository: - -```bash -git clone https://github.com/arc53/DocsGPT.git -``` -### 2. Navigate to the docs folder: - -```bash -cd DocsGPT/docs -``` - -The docs folder contains the markdown files that make up the documentation. The majority of the files are in the pages directory. Some notable files in this folder include: - -`index.mdx`: The main documentation file. -`_app.js`: This file is used to customize the default Next.js application shell. -`theme.config.jsx`: This file is for configuring the Nextra theme for the documentation. - -### 3. Verify that you have Node.js and npm installed in your system. You can check by running: - -```bash -node --version -npm --version -``` - -### 4. If not installed, download Node.js and npm from the respective official websites. - -### 5. Once you have Node.js and npm running, proceed to install yarn - another package manager that helps to manage project dependencies: - -```bash -npm install --global yarn -``` - -### 6. Install the project dependencies using yarn: - -```bash -yarn install -``` - -### 7. After the successful installation of the project dependencies, start the local server: - -```bash -yarn dev -``` - -- Now, you should be able to view the docs on your local environment by visiting `http://localhost:5000`. You can explore the different markdown files and make changes as you see fit. - -- **Footnotes:** This guide assumes you have Node.js and npm installed. The guide involves running a local server using yarn, and viewing the documentation offline. If you encounter any issues, it may be worth verifying your Node.js and npm installations and whether you have installed yarn correctly. diff --git a/docs/pages/Deploying/Hosting-the-app.md b/docs/pages/Deploying/Hosting-the-app.md deleted file mode 100644 index ea1e10fc..00000000 --- a/docs/pages/Deploying/Hosting-the-app.md +++ /dev/null @@ -1,109 +0,0 @@ -# Self-hosting DocsGPT on Amazon Lightsail - -Here's a step-by-step guide on how to set up 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](#connecting-to-your-newly-created-instance)). - -### 1. Create an AWS Account: -If you haven't already, create or log in to your AWS account at https://lightsail.aws.amazon.com. - -### 2. Create an Instance: - -a. Click "Create Instance." - -b. Select the "Instance location." In most cases, the default location works fine. - -c. Choose "Linux/Unix" as the image and "Ubuntu 20.04 LTS" as the Operating System. - -d. Configure the instance plan based on your requirements. A "1 GB, 1vCPU, 40GB SSD, and 2TB transfer" setup is recommended for most scenarios. - -e. Give your instance a unique name and click "Create Instance." - -PS: It may take a few minutes for the instance setup to complete. - -### Connecting to Your newly created Instance - -Your instance will be ready a few minutes after creation. To access it, open the instance and click "Connect using SSH." - -#### Clone the DocsGPT Repository - -A terminal window will pop up, and the first step will be to clone the 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 Docker and Docker Compose - -DocsGPT backend and worker use Python, Frontend is written on React and the whole application is containerized using Docker. To install Docker and Docker Compose, enter the following commands: - -`sudo apt install docker.io` - -And now install docker-compose: - -`sudo apt install docker-compose` - -#### Access the DocsGPT Folder - -Enter the following command to access the folder in which the DocsGPT docker-compose file is present. - -`cd DocsGPT/` - -#### Prepare the Environment - -Inside the DocsGPT folder create a `.env` file and copy the contents of `.env_sample` into it. - -`nano .env` - -Make sure your `.env` file looks like this: - -``` -OPENAI_API_KEY=(Your OpenAI API key) -VITE_API_STREAMING=true -SELF_HOSTED_MODEL=false -``` - -To save the file, press CTRL+X, then Y, and then ENTER. - -Next, set the correct IP for the Backend by opening the docker-compose.yml file: - -`nano docker-compose.yml` - -And Change line 7 to: `VITE_API_HOST=http://localhost:7091` -to this `VITE_API_HOST=http://:7091` - -This will allow the frontend to connect to the backend. - -#### Running the Application - -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: - -`sudo docker-compose up -d` - -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. - -#### Enabling Ports - -a. Before you are able to access your live instance, you must first enable the port that it is using. - -b. Open your Lightsail instance and head to "Networking". - -c. Then click on "Add rule" under "IPv4 Firewall", enter `5173` as your port, and hit "Create". -Repeat the process for port `7091`. - -#### Access your instance - -Your instance is now available at your Public IP Address on port 5173. Enjoy using DocsGPT! - -## Other Deployment Options - -- [Deploy DocsGPT on Civo Compute Cloud](https://dev.to/rutamhere/deploying-docsgpt-on-civo-compute-c) -- [Deploy DocsGPT on DigitalOcean Droplet](https://dev.to/rutamhere/deploying-docsgpt-on-digitalocean-droplet-50ea) diff --git a/docs/pages/Deploying/Quickstart.md b/docs/pages/Deploying/Quickstart.md deleted file mode 100644 index cb5fcf38..00000000 --- a/docs/pages/Deploying/Quickstart.md +++ /dev/null @@ -1,128 +0,0 @@ -## Launching Web App -**Note**: Make sure you have Docker installed - -**On macOS or Linux:** -Just run the following command: - -```bash -./setup.sh -``` - -This command will install all the necessary dependencies and provide you with an option to download the local model or use OpenAI. - -If you prefer to follow manual steps, refer to this guide: - -1. Open and download this repository with - ```bash - 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). -3. Run the following commands: - ```bash - docker-compose build && docker-compose up - ``` -4. Navigate to http://localhost:5173/. - -To stop, simply press **Ctrl + C**. - -**For WINDOWS:** - -To run the setup on Windows, you have two options: using the Windows Subsystem for Linux (WSL) or using Git Bash or Command Prompt. - -**Option 1: Using Windows Subsystem for Linux (WSL):** - -1. Install WSL if you haven't already. You can follow the official Microsoft documentation for installation: (https://learn.microsoft.com/en-us/windows/wsl/install). -2. After setting up WSL, open the WSL terminal. -3. Clone the repository and create the `.env` file: - ```bash - git clone https://github.com/arc53/DocsGPT.git - cd DocsGPT - echo "API_KEY=Yourkey" > .env - echo "VITE_API_STREAMING=true" >> .env - ``` -4. Run the following command to start the setup with Docker Compose: - ```bash - ./run-with-docker-compose.sh - ``` -6. Open your web browser and navigate to http://localhost:5173/. -7. To stop the setup, just press **Ctrl + C** in the WSL terminal - -**Option 2: Using Git Bash or Command Prompt (CMD):** - -1. Install Git for Windows if you haven't already. Download it from the official website: (https://gitforwindows.org/). -2. Open Git Bash or Command Prompt. -3. Clone the repository and create the `.env` file: - ```bash - git clone https://github.com/arc53/DocsGPT.git - cd DocsGPT - echo "API_KEY=Yourkey" > .env - echo "VITE_API_STREAMING=true" >> .env - ``` -4. Run the following command to start the setup with Docker Compose: - ```bash - ./run-with-docker-compose.sh - ``` -5. Open your web browser and navigate to http://localhost:5173/. -6. To stop the setup, just press **Ctrl + C** in the Git Bash or Command Prompt terminal. - -These steps should help you set up and run the project on Windows using either WSL or Git Bash/Command Prompt. -**Important:** Ensure that Docker is installed and properly configured on your Windows system for these steps to work. - - -For WINDOWS: - -To run the given setup on Windows, you can use the Windows Subsystem for Linux (WSL) or a Git Bash terminal to execute similar commands. Here are the steps adapted for Windows: - -Option 1: Using Windows Subsystem for Linux (WSL): - -1. Install WSL if you haven't already. You can follow the official Microsoft documentation for installation: (https://learn.microsoft.com/en-us/windows/wsl/install). -2. After setting up WSL, open the WSL terminal. -3. Clone the repository and create the `.env` file: - ```bash - git clone https://github.com/arc53/DocsGPT.git - cd DocsGPT - echo "API_KEY=Yourkey" > .env - echo "VITE_API_STREAMING=true" >> .env - ``` -4. Run the following command to start the setup with Docker Compose: - ```bash - ./run-with-docker-compose.sh - ``` -5. Open your web browser and navigate to http://localhost:5173/. -6. To stop the setup, just press **Ctrl + C** in the WSL terminal. - -Option 2: Using Git Bash or Command Prompt (CMD): - -1. Install Git for Windows if you haven't already. You can download it from the official website: (https://gitforwindows.org/). -2. Open Git Bash or Command Prompt. -3. Clone the repository and create the `.env` file: - ```bash - git clone https://github.com/arc53/DocsGPT.git - cd DocsGPT - echo "API_KEY=Yourkey" > .env - echo "VITE_API_STREAMING=true" >> .env - ``` -4. Run the following command to start the setup with Docker Compose: - ```bash - ./run-with-docker-compose.sh - ``` -5. Open your web browser and navigate to http://localhost:5173/. -6. To stop the setup, just press **Ctrl + C** in the Git Bash or Command Prompt terminal. - -These steps should help you set up and run the project on Windows using either WSL or Git Bash/Command Prompt. Make sure you have Docker installed and properly configured on your Windows system for this to work. - - -### Chrome Extension - -#### Installing the Chrome extension: -To enhance your DocsGPT experience, you can install the DocsGPT Chrome extension. Here's how: - -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/Railway-Deploying.md b/docs/pages/Deploying/Railway-Deploying.md deleted file mode 100644 index ab6064a9..00000000 --- a/docs/pages/Deploying/Railway-Deploying.md +++ /dev/null @@ -1,254 +0,0 @@ - -# Self-hosting DocsGPT on Railway - - - -Here's a step-by-step guide on how to host DocsGPT on Railway App. - - - -At first Clone and set up the project locally to run , test and Modify. - - - -### 1. Clone and GitHub SetUp - -a. Open Terminal (Windows Shell or Git bash(recommended)). - - - -b. Type `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 Docker and Docker Compose - - - -DocsGPT backend and worker use Python, Frontend is written on React and the whole application is containerized using Docker. To install Docker and Docker Compose, enter the following commands: - - - -`sudo apt install docker.io` - - - -And now install docker-compose: - - - -`sudo apt install docker-compose` - - - -#### Access the DocsGPT Folder - - - -Enter the following command to access the folder in which the DocsGPT docker-compose file is present. - - - -`cd DocsGPT/` - - - -#### Prepare the Environment - - - -Inside the DocsGPT folder create a `.env` file and copy the contents of `.env_sample` into it. - - - -`nano .env` - - - -Make sure your `.env` file looks like this: - - - -``` - -OPENAI_API_KEY=(Your OpenAI API key) - -VITE_API_STREAMING=true - -SELF_HOSTED_MODEL=false - -``` - - - -To save the file, press CTRL+X, then Y, and then ENTER. - - - -Next, set the correct IP for the Backend by opening the docker-compose.yml file: - - - -`nano docker-compose.yml` - - - -And Change line 7 to: `VITE_API_HOST=http://localhost:7091` - -to this `VITE_API_HOST=http://:7091` - - - -This will allow the frontend to connect to the backend. - - - -#### Running the Application - - - -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: - - - -`sudo docker-compose up -d` - - - -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. - - - -### 2. Pushing it to your own Repository - - - -a. Create a Repository on your GitHub. - - - -b. Open Terminal in the same directory of the Cloned project. - - - -c. Type `git init` - - - -d. `git add .` - - - -e. `git commit -m "first-commit"` - - - -f. `git remote add origin ` - - - -g. `git push git push --set-upstream origin master` - -Your local files will now be pushed to your GitHub Account. :) - - -### 3. Create a Railway Account: - - - -If you haven't already, create or log in to your railway account do it by visiting [Railway](https://railway.app/) - - - -Signup via **GitHub** [Recommended]. - - - -### 4. Start New Project: - - - -a. Open Railway app and Click on "Start New Project." - - - -b. Choose any from the list of options available (Recommended "**Deploy from GitHub Repo**") - - - -c. Choose the required Repository from your GitHub. - - - -d. Configure and allow access to modify your GitHub content from the pop-up window. - - - -e. Agree to all the terms and conditions. - - - -PS: It may take a few minutes for the account setup to complete. - - - -#### You will get A free trial of $5 (use it for trial and then purchase if satisfied and needed) - - - -### 5. Connecting to Your newly Railway app with GitHub - - - -a. Choose DocsGPT repo from the list of your GitHub repository that you want to deploy now. - - - -b. Click on Deploy now. - - - -![Three Tabs will be there](/Railway-selection.png) - - - -c. Select Variables Tab. - - - -d. Upload the env file here that you used for local setup. - - - -e. Go to Settings Tab now. - - - -f. Go to "Networking" and click on Generate Domain Name, to get the URL of your hosted project. - - - -g. You can update the Root directory, build command, installation command as per need. - -*[However recommended not the disturb these options and leave them as default if not that needed.]* - - - - -Your own DocsGPT is now available at the Generated domain URl. :) diff --git a/docs/pages/Deploying/_meta.json b/docs/pages/Deploying/_meta.json deleted file mode 100644 index 6d523a6d..00000000 --- a/docs/pages/Deploying/_meta.json +++ /dev/null @@ -1,14 +0,0 @@ -{ - "Hosting-the-app": { - "title": "☁️ Hosting DocsGPT", - "href": "/Deploying/Hosting-the-app" - }, - "Quickstart": { - "title": "⚑️Quickstart", - "href": "/Deploying/Quickstart" - }, - "Railway-Deploying": { - "title": "πŸš‚Deploying on Railway", - "href": "/Deploying/Railway-Deploying" - } -} diff --git a/docs/pages/Developing/API-docs.md b/docs/pages/Developing/API-docs.md deleted file mode 100644 index ee43d848..00000000 --- a/docs/pages/Developing/API-docs.md +++ /dev/null @@ -1,229 +0,0 @@ -# API Endpoints Documentation - -*Currently, the application provides the following main API endpoints:* - - -### 1. /api/answer -**Description:** - -This endpoint is used to request answers to user-provided questions. - -**Request:** - -**Method**: `POST` - -**Headers**: Content-Type should be set to `application/json; charset=utf-8` - -**Request Body**: JSON object with the following fields: -* `question` β€” The user's question. -* `history` β€” (Optional) Previous conversation history. -* `api_key`β€” Your API key. -* `embeddings_key` β€” Your embeddings key. -* `active_docs` β€” The location of active documentation. - -Here is a JavaScript Fetch Request example: -```js -// 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)) -``` - -**Response** - -In response, you will get a JSON document containing the `answer`, `query` and `result`: -```json -{ - "answer": "Hi there! How can I help you?\n", - "query": "Hi", - "result": "Hi there! How can I help you?\nSOURCES:" -} -``` - -### 2. /api/docs_check - -**Description:** - -This endpoint will make sure documentation is loaded on the server (just run it every time user is switching between libraries (documentations)). - -**Request:** - -**Method**: `POST` - -**Headers**: Content-Type should be set to `application/json; charset=utf-8` - -**Request Body**: JSON object with the field: -* `docs` β€” The location of the documentation: -```js -// docs_check (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)) -``` - -**Response:** - -In response, you will get a JSON document like this one indicating whether the documentation exists or not: -```json -{ - "status": "exists" -} -``` - - -### 3. /api/combine -**Description:** - -This endpoint provides information about available vectors and their locations with a simple GET request. - -**Request:** - -**Method**: `GET` - -**Response:** - -Response will include: -* `date` -* `description` -* `docLink` -* `fullName` -* `language` -* `location` (local or docshub) -* `model` -* `name` -* `version` - -Example of JSON in Docshub and local: - -image - -### 4. /api/upload -**Description:** - -This endpoint is used to upload a file that needs to be trained, response is JSON with task ID, which can be used to check on task's progress. - -**Request:** - -**Method**: `POST` - -**Request Body**: A multipart/form-data form with file upload and additional fields, including `user` and `name`. - -HTML example: - -```html -

    - - - - - - -``` - -**Response:** - -JSON response with a status and a task ID that can be used to check the task's progress. - - -### 5. /api/task_status -**Description:** - -This endpoint is used to get the status of a task (`task_id`) from `/api/upload` - -**Request:** - -**Method**: `GET` - -**Query Parameter**: `task_id` (task ID to check) - -**Sample JavaScript Fetch Request:** -```js -// Task status (Get http://127.0.0.1:5000/api/task_status) -fetch("http://localhost:5001/api/task_status?task_id=YOUR_TASK_ID", { - "method": "GET", - "headers": { - "Content-Type": "application/json; charset=utf-8" - }, -}) -.then((res) => res.text()) -.then(console.log.bind(console)) -``` - -**Response:** - -There are two types of responses: - -1. While the task is still running, the 'current' value will show progress from 0 to 100. - ```json - { - "result": { - "current": 1 - }, - "status": "PROGRESS" - } - ``` - -2. When task is completed: - ```json - { - "result": { - "directory": "temp", - "filename": "install.rst", - "formats": [ - ".rst", - ".md", - ".pdf" - ], - "name_job": "somename", - "user": "local" - }, - "status": "SUCCESS" - } - ``` - -### 6. /api/delete_old -**Description:** - -This endpoint is used to delete old Vector Stores. - -**Request:** - -**Method**: `GET` - -**Query Parameter**: `task_id` - -**Sample JavaScript Fetch Request:** -```js -// delete_old (GET http://127.0.0.1:5000/api/delete_old) -fetch("http://localhost:5001/api/delete_old?task_id=YOUR_TASK_ID", { - "method": "GET", - "headers": { - "Content-Type": "application/json; charset=utf-8" - }, -}) -.then((res) => res.text()) -.then(console.log.bind(console)) - -``` -**Response:** - -JSON response indicating the status of the operation: - -```json -{ "status": "ok" } -``` diff --git a/docs/pages/Developing/_meta.json b/docs/pages/Developing/_meta.json deleted file mode 100644 index be9ea4a7..00000000 --- a/docs/pages/Developing/_meta.json +++ /dev/null @@ -1,6 +0,0 @@ -{ - "API-docs": { - "title": "πŸ—‚οΈοΈ 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 deleted file mode 100644 index d6494bbf..00000000 --- a/docs/pages/Extensions/Chatwoot-extension.md +++ /dev/null @@ -1,44 +0,0 @@ -## Chatwoot Extension Setup Guide - -### Step 1: Prepare and Start DocsGPT - -- **Launch DocsGPT**: Follow the instructions in our [DocsGPT Wiki](https://github.com/arc53/DocsGPT/wiki) to start DocsGPT. Make sure to load your documentation. - -### Step 2: Get Access Token from Chatwoot - -- Go to Chatwoot. -- In your profile settings (located at the bottom left), scroll down and copy the **Access Token**. - -### Step 3: Set Up Chatwoot Extension - -- Navigate to `/extensions/chatwoot`. -- Copy the `.env_sample` file and create a new file named `.env`. -- Fill in the values in the `.env` file as follows: - -```env -docsgpt_url= -chatwoot_url= -docsgpt_key= -chatwoot_token= -``` - -### Step 4: Start the Extension - -- Use the command `flask run` to start the extension. - -### Step 5: Optional - Extra Validation - -- In app.py, uncomment lines 12-13 and 71-75. -- Add the following lines to your .env file: -```account_id=(optional) 1 -assignee_id=(optional) 1 -``` -These Chatwoot values help ensure you respond to the correct widget and handle questions assigned to a specific user. - -### Stopping Bot Responses for Specific User or Session - -- If you want the bot to stop responding to questions for a specific user or session, add a label `human-requested` in your conversation. - -### Additional Notes - -- For further details on training on other documentation, refer to our [wiki](https://github.com/arc53/DocsGPT/wiki/How-to-train-on-other-documentation). \ No newline at end of file diff --git a/docs/pages/Extensions/_meta.json b/docs/pages/Extensions/_meta.json deleted file mode 100644 index 05a49916..00000000 --- a/docs/pages/Extensions/_meta.json +++ /dev/null @@ -1,10 +0,0 @@ -{ - "Chatwoot-extension": { - "title": "πŸ’¬οΈ Chatwoot Extension", - "href": "/Extensions/Chatwoot-extension" - }, - "react-widget": { - "title": "πŸ—οΈ Widget setup", - "href": "/Extensions/react-widget" - } -} \ No newline at end of file diff --git a/docs/pages/Extensions/react-widget.md b/docs/pages/Extensions/react-widget.md deleted file mode 100644 index de585581..00000000 --- a/docs/pages/Extensions/react-widget.md +++ /dev/null @@ -1,47 +0,0 @@ -### Setting up the DocsGPT Widget in Your React Project - -### Introduction: -The DocsGPT Widget is a powerful tool that allows you to integrate AI-powered documentation assistance into your web applications. This guide will walk you through the installation and usage of the DocsGPT Widget in your React project. Whether you're building a web app or a knowledge base, this widget can enhance your user experience. - -### Installation -First, make sure you have Node.js and npm installed in your project. Then go to your project and install a new dependency: `npm install docsgpt`. - -### Usage -In the file where you want to use the widget, import it and include the CSS file: -```js -import { DocsGPTWidget } from "docsgpt"; -import "docsgpt/dist/style.css"; -``` - - -Now, you can use the widget in your component like this : -```jsx - -``` -DocsGPTWidget takes 3 **props**: -1. `apiHost` β€” The URL of your DocsGPT API. -2. `selectDocs` β€” The documentation source that you want to use for your widget (e.g. `default` or `local/docs1.zip`). -3. `apiKey` β€” Usually, it's empty. - -### How to use DocsGPTWidget with [Nextra](https://nextra.site/) (Next.js + MDX) -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"; - -export default function MyApp({ Component, pageProps }) { - return ( - <> - - - - ) -} -``` - -For more information about React, refer to this [link here](https://react.dev/learn) - diff --git a/docs/pages/Guides/Customising-prompts.md b/docs/pages/Guides/Customising-prompts.md deleted file mode 100644 index 2b124c04..00000000 --- a/docs/pages/Guides/Customising-prompts.md +++ /dev/null @@ -1,27 +0,0 @@ -# Customizing the Main Prompt - -Customizing the main prompt for DocsGPT gives you the ability to tailor the AI's responses to your specific requirements. By modifying the prompt text, you can achieve more accurate and relevant answers. Here's how you can do it: - -1. Navigate to `/application/prompts/combine_prompt.txt`. - -2. Open the `combine_prompt.txt` file and modify the prompt text to suit your needs. You can experiment with different phrasings and structures to observe how the model responds. The main prompt serves as guidance to the AI model on how to generate responses. - -## Example Prompt Modification - -**Original Prompt:** -```markdown -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. -Use the following pieces of context to help answer the users question. If it's not relevant to the question, provide friendly responses. -You have access to chat history, and can use it to help answer the question. -When using code examples, use the following format: - -(code) -{summaries} -``` - -Feel free to customize the prompt to align it with your specific use case or the kind of responses you want from the AI. For example, you can focus on specific document types, industries, or topics to get more targeted results. - -## Conclusion - -Customizing the main prompt for DocsGPT allows you to tailor the AI's responses to your unique requirements. Whether you need in-depth explanations, code examples, or specific insights, you can achieve it by modifying the main prompt. Remember to experiment and fine-tune your prompts to get the best results. - diff --git a/docs/pages/Guides/How-to-train-on-other-documentation.md b/docs/pages/Guides/How-to-train-on-other-documentation.md deleted file mode 100644 index 8ddfa564..00000000 --- a/docs/pages/Guides/How-to-train-on-other-documentation.md +++ /dev/null @@ -1,63 +0,0 @@ -## How to train on other documentation - -This AI can utilize any documentation, but it requires preparation for similarity search. Follow these steps to get your documentation ready: - -**Step 1: Prepare Your Documentation** -![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 OPENAI to create the vector store, so make sure your documentation is not too large. Using Pandas cost me around $3-$4. - -You can typically find documentation on GitHub in the `docs/` folder for most open-source projects. - -### 1. Find documentation in .rst/.md format 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, convert whatever you find to a .txt file and feed it. (Don't forget to change the extension in the script). - -### Step 2: Configure Your OpenAI API Key -1. Create a .env file in the scripts/ folder. - - Add your OpenAI API key inside: OPENAI_API_KEY=. - -### Step 3: Run the Ingestion Script - -`python ingest.py ingest` - -It will provide you with the estimated cost. - -### Step 4: Move `index.faiss` and `index.pkl` generated in `scripts/output` to `application/` folder. - - -### Step 5: Run the Web App -Once you run it, it will use new context relevant to your documentation.Make sure you select default in the dropdown in the UI. - -## Customization -You can learn more about options while running ingest.py by running: - - Make sure you select 'default' from the dropdown in the UI. - -## Customization -You can learn more about options while running ingest.py by executing: -`python ingest.py --help` -| Options | | -|:--------------------------------:|:------------------------------------------------------------------------------------------------------------------------------:| -| **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] | -| --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] | diff --git a/docs/pages/Guides/How-to-use-different-LLM.md b/docs/pages/Guides/How-to-use-different-LLM.md deleted file mode 100644 index 8915011b..00000000 --- a/docs/pages/Guides/How-to-use-different-LLM.md +++ /dev/null @@ -1,48 +0,0 @@ -# Setting Up Local Language Models for Your App - -Your app relies on two essential models: Embeddings and Text Generation. While OpenAI's default models work seamlessly, you have the flexibility to switch providers or even run the models locally. - -## Step 1: Configure Environment Variables - -Navigate to the `.env` file or set the following environment variables: - -```env -LLM_NAME= -API_KEY= -EMBEDDINGS_NAME= -EMBEDDINGS_KEY= -VITE_API_STREAMING= -``` - -You can omit the keys if users provide their own. Ensure you set `LLM_NAME` and `EMBEDDINGS_NAME`. - -## Step 2: Choose Your Models - -**Options for `LLM_NAME`:** -- openai ([More details](https://platform.openai.com/docs/models)) -- anthropic ([More details](https://docs.anthropic.com/claude/reference/selecting-a-model)) -- manifest ([More details](https://python.langchain.com/docs/integrations/llms/manifest)) -- cohere ([More details](https://docs.cohere.com/docs/llmu)) -- llama.cpp ([More details](https://python.langchain.com/docs/integrations/llms/llamacpp)) -- huggingface (Arc53/DocsGPT-7B by default) -- sagemaker ([Mode details](https://aws.amazon.com/sagemaker/)) - - -Note: for huggingface you can choose any model inside application/llm/huggingface.py or pass llm_name on init, loads - -**Options for `EMBEDDINGS_NAME`:** -- openai_text-embedding-ada-002 -- huggingface_sentence-transformers/all-mpnet-base-v2 -- huggingface_hkunlp/instructor-large -- cohere_medium - -If you want to be completely local, set `EMBEDDINGS_NAME` to `huggingface_sentence-transformers/all-mpnet-base-v2`. - -For llama.cpp Download the required model and place it in the `models/` folder. - -Alternatively, for local Llama setup, run `setup.sh` and choose option 1. The script handles the DocsGPT model addition. - -## Step 3: Local Hosting for Privacy - -If working with sensitive data, host everything locally by setting `LLM_NAME`, llama.cpp or huggingface, use any model available on Hugging Face, for llama.cpp you need to convert it into gguf format. -That's it! Your app is now configured for local and private hosting, ensuring optimal security for critical data. 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 deleted file mode 100644 index 99e3c757..00000000 --- a/docs/pages/Guides/My-AI-answers-questions-using-external-knowledge.md +++ /dev/null @@ -1,21 +0,0 @@ -# Avoiding hallucinations - -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:- - -- 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 deleted file mode 100644 index 2e693c89..00000000 --- a/docs/pages/Guides/_meta.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "Customising-prompts": { - "title": "πŸ—οΈοΈ Customising Prompts", - "href": "/Guides/Customising-prompts" - }, - "How-to-train-on-other-documentation": { - "title": "πŸ“₯ Training on docs", - "href": "/Guides/How-to-train-on-other-documentation" - }, - "How-to-use-different-LLM": { - "title": "βš™οΈοΈ How to use different LLM's", - "href": "/Guides/How-to-use-different-LLM" - }, - "My-AI-answers-questions-using-external-knowledge": { - "title": "πŸ’­οΈ Avoiding hallucinations", - "href": "/Guides/My-AI-answers-questions-using-external-knowledge" - } -} \ No newline at end of file diff --git a/docs/pages/_app.js b/docs/pages/_app.js deleted file mode 100644 index b9937425..00000000 --- a/docs/pages/_app.js +++ /dev/null @@ -1,11 +0,0 @@ -import { DocsGPTWidget } from "docsgpt"; -import "docsgpt/dist/style.css"; - -export default function MyApp({ Component, pageProps }) { - return ( - <> - - - - ) -} \ No newline at end of file diff --git a/docs/pages/index.mdx b/docs/pages/index.mdx index 8c646918..4822100f 100644 --- a/docs/pages/index.mdx +++ b/docs/pages/index.mdx @@ -1,37 +1,9 @@ --- 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'; +### **LauzCom* Assistance πŸ‡¨πŸ‡­* +LauzCom Assistance πŸ‡¨πŸ‡­ is an open-source tool designed to simplify the retrieval of information from project documentation using advanced GPT models πŸ€–. Eliminate lengthy manual searches πŸ” and enhance your documentation experience. -export const allGuides = { - ...deployingGuides, - ...developingGuides, - ...extensionGuides, - ...mainGuides, -}; - -### **DocsGPT πŸ¦–** - -DocsGPT πŸ¦– is an innovative open-source tool designed to simplify the retrieval of information from project documentation using advanced GPT models πŸ€–. 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    DocsGPT logo - DocsGPT Docs + LauzCom Assistance Docs
    @@ -30,7 +30,7 @@ const config = { key: 'docs-launch', text: (
    - Welcome to the new DocsGPT πŸ¦– docs! πŸ‘‹ + Welcome to the new LauzCom Assistance πŸ‡¨πŸ‡­ docs! πŸ‘‹
    ), }, @@ -49,7 +49,7 @@ const config = { light: 212, }, footer: { - text: `MIT ${new Date().getFullYear()} Β© DocsGPT`, + text: `MIT ${new Date().getFullYear()} Β© LauzCom Assistance`, }, logo() { return ( @@ -60,39 +60,39 @@ const config = { }, useNextSeoProps() { return { - titleTemplate: `%s - DocsGPT Documentation`, + titleTemplate: `%s - LauzCom Assistance Documentation`, }; }, head() { const { frontMatter } = useConfig(); const { theme } = useTheme(); - const title = frontMatter?.title || 'Chat with your data with DocsGPT'; + const title = frontMatter?.title || 'Chat with your data with LauzCom Assistance'; const description = frontMatter?.description || - 'Use DocsGPT to chat with your data. DocsGPT is a GPT powered chatbot that can answer questions about your data.' - const image = '/cute-docsgpt.png'; + 'Use LauzCom Assistance to chat with your data. LauzCom Assistance is a GPT powered chatbot that can answer questions about your data.' + const image = '/logo_city_Lau.png'; - const composedTitle = `${title} – DocsGPT Documentation`; + const composedTitle = `${title} – LauzCom Assistance Documentation`; return ( <> @@ -111,7 +111,7 @@ const config = { diff --git a/frontend/index.html b/frontend/index.html index 3717e3e0..4b9229c4 100644 --- a/frontend/index.html +++ b/frontend/index.html @@ -3,8 +3,8 @@ - DocsGPT πŸ¦– - + LauzCom Assistance πŸ‡¨πŸ‡­ +
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+import DocsGPT3 from './assets/swisscom-vector.svg'; export default function About() { return (
    ); diff --git a/frontend/src/Hero.tsx b/frontend/src/Hero.tsx index cb55ca1f..aa9b1fee 100644 --- a/frontend/src/Hero.tsx +++ b/frontend/src/Hero.tsx @@ -1,5 +1,5 @@ import { useMediaQuery } from './hooks'; -import DocsGPT3 from './assets/cute_docsgpt3.svg'; +import DocsGPT3 from './assets/swisscom-vector.svg'; export default function Hero({ className = '' }: { className?: string }) { // const isMobile = window.innerWidth <= 768; @@ -7,12 +7,12 @@ export default function Hero({ className = '' }: { className?: string }) { return (
    -

    DocsGPT

    - DocsGPT +

    LauzCom Assistance

    + LauzCom
    {isMobile ? (

    - Welcome to DocsGPT, your technical + Welcome to LauzCom Assistance, your technical documentation assistant! Start by entering your query in the input field below, and we'll provide you with the most relevant answers. @@ -20,15 +20,10 @@ export default function Hero({ className = '' }: { className?: string }) { ) : ( <>

    - Welcome to DocsGPT, your technical documentation assistant! + Welcome to LauzCom Assistance, your Swisscom revolutionising customer assistant!

    - Enter a query related to the information in the documentation you - selected to receive -
    and we will provide you with the most relevant answers. -

    -

    - Start by entering your query in the input field below and we will do + Start by entering your query about any of our products in the input field below and we will do the rest!

    @@ -53,9 +48,6 @@ export default function Hero({ className = '' }: { className?: string }) { alt="lock" className="h-[24px] w-[24px] " /> -

    - Chat with Your Data -

    ) : ( <> @@ -64,23 +56,9 @@ export default function Hero({ className = '' }: { className?: string }) { alt="lock" className="h-[24px] w-[24px]" /> -

    - Chat with Your Data -

    )} -

    - 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 - provided data. -

    + {/* second */} @@ -113,7 +91,7 @@ export default function Hero({ className = '' }: { className?: string }) { : `w-[250px] text-xs text-gray-500` } > - The security of your data is our top priority. DocsGPT ensures the + The security of your data is our top priority. LauzCom Assistance ensures the utmost protection for your sensitive information. With secure data storage and privacy measures in place, you can trust that your data is kept safe and confidential. @@ -158,7 +136,7 @@ export default function Hero({ className = '' }: { className?: string }) { : `w-[250px] text-xs text-gray-500` } > - DocsGPT is built on open source principles, promoting transparency + LauzCom Assistance 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 their specific needs. diff --git a/frontend/src/Navigation.tsx b/frontend/src/Navigation.tsx index d3df8b44..6afe4eba 100644 --- a/frontend/src/Navigation.tsx +++ b/frontend/src/Navigation.tsx @@ -1,7 +1,7 @@ import { useEffect, useRef, useState } from 'react'; import { useDispatch, useSelector } from 'react-redux'; import { NavLink, useNavigate } from 'react-router-dom'; -import DocsGPT3 from './assets/cute_docsgpt3.svg'; +import DocsGPT3 from './assets/swisscom-vector.svg'; import Documentation from './assets/documentation.svg'; import Discord from './assets/discord.svg'; import Arrow2 from './assets/dropdown-arrow.svg'; @@ -198,7 +198,7 @@ export default function Navigation({ navOpen, setNavOpen }: NavigationProps) { >
    -

    DocsGPT

    +

    LauzCom Assistance

    -
    -

    About DocsGPT

    - DocsGPT -
    -

    - Find the information in your documentation through AI-powered - - {' '} - open-source{' '} - - chatbot. Powered by GPT-3, Faiss and LangChain. -

    -
    -

    - If you want to add your own documentation, please follow the - instruction below: -

    -

    - 1. Navigate to{' '} - /application folder -

    -

    - 2. Install dependencies from{' '} - - pip install -r requirements.txt - -

    -

    - 3. Prepare a .env file. - Copy .env_sample and - create .env with your - OpenAI API token -

    - 4. Run the app with{' '} - python app.py + + We've come up with a genius retrieval system that can extract Swisscom's juiciest + secrets faster than you can say "chocolate fondue" at a Swiss ski lodge. + This innovative solution empowers our support team to respond + to customer queries swiftly, elevating the overall user experience. In implementing this project, + we utilized cutting-edge technologies, including langchain, tiktoken, nltk, + and the ever-so-mysterious huggingface_sentence-transformers/all-mpnet-base-v2. + + So, while we're not guaranteeing a lifetime supply of Swiss chocolate, our system is here to make + customer support as sweet as a box of assorted pralines. Just don't ask us to yodel, that's a whole + different kind of Swiss expertise! πŸ«πŸ”οΈπŸ‡¨πŸ‡­

    - -

    - Currently It uses{' '} - DocsGPT{' '} - documentation, so it will respond to information relevant to{' '} - DocsGPT. If you - want to train it on different documentation - please follow - - {' '} - this guide - - . -

    - -

    - If you want to launch it on your own server - follow - - {' '} - this guide - - . -

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