Text generation can sometimes take a long time to complete, especially when you're generating a couple of paragraphs. In such cases, it is useful to stream the text generation process to the client in real-time. This allows the client to display the generated text as it is being generated, rather than have users wait for it to complete before displaying the result.
Let's create a simple React component that imports the useCompletion
hook from the ai/react
module. The useCompletion
hook will call the /api/completion
endpoint when a button is clicked. The endpoint will generate text based on the input prompt and stream it to the client.
'use client';
import { useCompletion } from 'ai/react';
export default function Page() { const { completion, complete } = useCompletion({ api: '/api/completion', });
return ( <div> <div onClick={async () => { await complete('Why is the sky blue?'); }} > Generate </div>
{completion} </div> );}
Let's create a route handler for /api/completion
that will generate text based on the input prompt. The route will call the streamText
function from the ai
module, which will then generate text based on the input prompt and stream it to the client.
import { streamText } from 'ai';import { openai } from '@ai-sdk/openai';
export async function POST(req: Request) { const { prompt }: { prompt: string } = await req.json();
const result = streamText({ model: openai('gpt-4'), system: 'You are a helpful assistant.', prompt, });
return result.toDataStreamResponse();}