hts/apps/migrant/components-ai/empty-screen.tsx

54 lines
1.7 KiB
TypeScript

// import { UseChatHelpers } from '@aigxion/isdk'
import { Button } from './ui/button'
import { ExternalLink } from './external-link'
import { IconArrowRight } from './ui/icons'
const exampleMessages = [
{
heading: 'Explain technical concepts',
message: `What is a "serverless function"?`
},
{
heading: 'Summarize an article',
message: 'Summarize the following article for a 2nd grader: \n'
},
{
heading: 'Draft an email',
message: `Draft an email to my boss about the following: \n`
}
]
export function EmptyScreen() {
return (
<div className="mx-auto max-w-2xl px-4">
<div className="flex flex-col gap-2 rounded-lg border bg-background p-8">
<h1 className="text-lg font-semibold">
Welcome to Next.js AI Chatbot!
</h1>
<p className="leading-normal text-muted-foreground">
This is an open source AI chatbot app template built with{' '}
<ExternalLink href="https://nextjs.org">Next.js</ExternalLink>, the{' '}
<ExternalLink href="https://sdk.vercel.ai">
Vercel AI SDK
</ExternalLink>
, and{' '}
<ExternalLink href="https://vercel.com/storage/kv">
Vercel KV
</ExternalLink>
.
</p>
<p className="leading-normal text-muted-foreground">
It uses{' '}
<ExternalLink href="https://vercel.com/blog/ai-sdk-3-generative-ui">
React Server Components
</ExternalLink>{' '}
to combine text with generative UI as output of the LLM. The UI state
is synced through the SDK so the model is aware of your interactions
as they happen.
</p>
</div>
</div>
)
}