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Refactor to use ai/rsc (#253)

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@ -26,7 +26,7 @@
- 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)
- Chat History, rate limiting, and session storage with [Vercel KV](https://vercel.com/storage/kv) and [Vercel Postgres](https://vercel.com/docs/storage/vercel-postgres)
- [NextAuth.js](https://github.com/nextauthjs/next-auth) for authentication
## Model Providers
@ -37,7 +37,7 @@ This template ships with OpenAI `gpt-3.5-turbo` as the default. However, thanks
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%2Fai-chatbot&from=templates&skippable-integrations=1&env=OPENAI_API_KEY%2CAUTH_GITHUB_ID%2CAUTH_GITHUB_SECRET%2CAUTH_SECRET&envDescription=How+to+get+these+env+vars&envLink=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&teamCreateStatus=hidden&stores=[{"type":"kv"}])
[![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%2Fai-chatbot&from=templates&skippable-integrations=1&env=OPENAI_API_KEY%2CAUTH_SECRET&envDescription=How+to+get+these+env+vars&envLink=https%3A%2F%2Fgithub.com%2Fvercel-labs%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&teamCreateStatus=hidden&stores=[{"type":"kv"},{"type":"postgres"}])
## Creating a KV Database Instance
@ -45,6 +45,12 @@ Follow the steps outlined in the [quick start guide](https://vercel.com/docs/sto
Remember to update your environment variables (`KV_URL`, `KV_REST_API_URL`, `KV_REST_API_TOKEN`, `KV_REST_API_READ_ONLY_TOKEN`) in the `.env` file with the appropriate credentials provided during the KV database setup.
## Create a Postgres Database Instance
Similarly, follow the steps outline in the [quick start guide](https://vercel.com/docs/storage/vercel-postgres/quickstart) provided by Vercel. This guide will assist you in creating and configuring your Postgres database instance on Vercel, enabling your application to interact with it.
Remember to update your environment variables (`POSTGRES_URL`, `POSTGRES_PRISMA_URL`, `POSTGRES_URL_NO_SSL`, `POSTGRES_URL_NON_POOLING`, `POSTGRES_USER`, `POSTGRES_HOST`, `POSTGRES_PASSWORD`, `POSTGRES_DATABASE`) in the `.env` file with the appropriate credentials provided during the Postgres database setup.
## 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.
@ -57,6 +63,7 @@ You will need to use the environment variables [defined in `.env.example`](.env.
```bash
pnpm install
pnpm seed
pnpm dev
```