https://github.com/dennis-nichols/kobo-bot-ui

A user interface for a Kobo Toolbox support pages QnA bot.
https://github.com/dennis-nichols/kobo-bot-ui

Last synced: 15 days ago
JSON representation

A user interface for a Kobo Toolbox support pages QnA bot.

• Host: GitHub
• URL: https://github.com/dennis-nichols/kobo-bot-ui
• Owner: dennis-nichols
• Created: 2023-03-24T01:37:42.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-28T23:46:55.000Z (almost 2 years ago)
• Last Synced: 2023-08-02T22:14:22.284Z (over 1 year ago)
• Language: TypeScript
• Homepage: https://kobo-bot-ui.vercel.app
• Size: 2.33 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Kobo Toolbox Support Bot (KoboBot)

A ChatGPT-powered support bot for Kobo Toolbox - a "data collection, management, and visualization platform used globally for research and social good"

## Frontend

The UI is built with [Next.js](https://nextjs.org/), [Typescript](https://www.typescriptlang.org/), and [Tailwind CSS](https://tailwindcss.com/), and [React Table](https://react-table-v7.tanstack.com/). The frontend application is hosted on [Vercel](https://vercel.com/).

## Backend

The backend is built with [Python](https://www.python.org/), the [FastAPI](https://fastapi.tiangolo.com/) framework, and the OpenAI API. It is hosted on [Google Cloud Run](https://cloud.google.com/run). See the backend repo [here](https://github.com/dennis-nichols/kobo-chat-api).

## Features

- Chatbot is powered by the GPT-3.5-turbo model

- Context for answers is drawn from data scraped from the Kobo Toolbox Support Pages

- Advantage over ChatGPT is that ChatGPT's training data is only up to date as of September 2021 whereas the data for this app was scraped in March 2023

## Getting started

1. Clone the repository: `git clone https://github.com//kobo-bot-ui.git`

2. Navigate to the project directory: `cd business-search-tool`

3. Install the dependencies: `npm install`

4. Start the development server: `npm run dev`

5. Access the application at `http://localhost:3000`

## Deployment

The frontend is hosted on Vercel and the backend is hosted on Google Cloud Run. Follow the documentation for each platform to deploy the application.

## Contributing

This project is open for contributions. Feel free to open an issue or submit a pull request.