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https://github.com/goriens/gemini-ai-chatbot
https://github.com/goriens/gemini-ai-chatbot
Last synced: 1 day ago
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- Host: GitHub
- URL: https://github.com/goriens/gemini-ai-chatbot
- Owner: goriens
- License: other
- Created: 2024-08-04T17:52:57.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-08-04T17:53:04.000Z (3 months ago)
- Last Synced: 2024-09-14T01:30:19.453Z (2 months ago)
- Language: TypeScript
- Size: 8.76 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
An open-source AI chatbot app template built with Next.js, the Vercel AI SDK, Google Gemini, and Vercel KV.
Features ·
Model Providers ·
Deploy Your Own ·
Running locally ·
Authors
## 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](https://github.com/nextauthjs/next-auth) for authentication## Model Providers
This template ships with Google Gemini `models/gemini-1.0-pro-001` as the default. However, thanks to the [Vercel AI SDK](https://sdk.vercel.ai/docs), you can switch LLM providers to [OpenAI](https://openai.com), [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), [Hugging Face](https://huggingface.co), or using [LangChain](https://js.langchain.com) with just a few lines of code.
## Deploy Your Own
You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?demo-title=Next.js+Chat&demo-description=A+full-featured%2C+hackable+Next.js+AI+chatbot+built+by+Vercel+Labs&demo-url=https%3A%2F%2Fchat.vercel.ai%2F&demo-image=%2F%2Fimages.ctfassets.net%2Fe5382hct74si%2F4aVPvWuTmBvzM5cEdRdqeW%2F4234f9baf160f68ffb385a43c3527645%2FCleanShot_2023-06-16_at_17.09.21.png&project-name=Next.js+Chat&repository-name=nextjs-chat&repository-url=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fgemini-chatbot&from=templates&skippable-integrations=1&env=GOOGLE_GENERATIVE_AI_API_KEY%2CAUTH_SECRET&envDescription=How+to+get+these+env+vars&envLink=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fgemini-chatbot%2Fblob%2Fmain%2F.env.example&teamCreateStatus=hidden&stores=[{%22type%22:%22kv%22}])
## 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.
1. Install Vercel CLI: `npm i -g vercel`
2. Link local instance with Vercel and GitHub accounts (creates `.vercel` directory): `vercel link`
3. Download your environment variables: `vercel env pull````bash
pnpm install
pnpm dev
```Your app template should now be running on [localhost:3000](http://localhost:3000/).
## Authors
This library is created by [Vercel](https://vercel.com) and [Next.js](https://nextjs.org) team members, with contributions from:
- Jared Palmer ([@jaredpalmer](https://twitter.com/jaredpalmer)) - [Vercel](https://vercel.com)
- Shu Ding ([@shuding\_](https://twitter.com/shuding_)) - [Vercel](https://vercel.com)
- shadcn ([@shadcn](https://twitter.com/shadcn)) - [Vercel](https://vercel.com)
- Jeremy Philemon ([@jrmyphlmn](https://twitter.com/jrmyphlmn)) - [Vercel](https://vercel.com)