https://github.com/ajay-dhangar/gemini-ai-chatbot

Gemini AI Chabot
https://github.com/ajay-dhangar/gemini-ai-chatbot

ai chatbot gemini gemini-ai-chatbot gemini-api

Last synced: 2 months ago
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Gemini AI Chabot

• Host: GitHub
• URL: https://github.com/ajay-dhangar/gemini-ai-chatbot
• Owner: ajay-dhangar
• License: apache-2.0
• Created: 2024-04-16T04:39:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-09-18T08:30:10.000Z (about 1 year ago)
• Last Synced: 2024-12-06T22:52:14.430Z (11 months ago)
• Topics: ai, chatbot, gemini, gemini-ai-chatbot, gemini-api
• Language: TypeScript
• Homepage: https://code-harbor-hub-gemini-ai-chatbot.vercel.app/
• Size: 8.98 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          


  

  
Gemini AI Chatbot






  An open-source AI chatbot app template built with Next.js, the Vercel AI SDK, Google Gemini, and Vercel KV.





  Features ·

  Running locally ·






## Features

- [Next.js](https://nextjs.org) App Router

- React Server Components (RSCs), Suspense, and Server Actions

- [Vercel AI SDK](https://sdk.vercel.ai/docs) for streaming chat UI

- Support for Google Gemini (default), OpenAI, Anthropic, Cohere, Hugging Face, or custom AI chat models and/or LangChain

- [shadcn/ui](https://ui.shadcn.com)

  - Styling with [Tailwind CSS](https://tailwindcss.com)

  - [Radix UI](https://radix-ui.com) for headless component primitives

  - Icons from [Phosphor Icons](https://phosphoricons.com)

- Chat History, rate limiting, and session storage with [Vercel KV](https://vercel.com/storage/kv)

- [NextAuth.js

## Running locally

You will need to use the environment variables [defined in `.env.example`](.env.example) to run Next.js AI Chatbot. It's recommended you use [Vercel Environment Variables](https://vercel.com/docs/projects/environment-variables) for this, but a `.env` file is all that is necessary.

> Note: You should not commit your `.env` file or it will expose secrets that will allow others to control access to your various Google Cloud and authentication provider accounts.

```bash

pnpm install

pnpm dev

```

Your app template should now be running on [localhost:3000](http://localhost:3000/).