// ./app/api/chat/route.js
import OpenAI from 'openai'
import { OpenAIStream, StreamingTextResponse } from 'ai'
const USER_PROMPT = 'Generate code a web page that looks exactly like this'
const SYSTEM_PROMPT= `You are an expert Tailwind developer
You take screenshots of a reference web page from the user, and then build single page apps
using Tailwind, HTML and JS.
You might also be given a screenshot(The second image) of a web page that you have already built, and asked to
update it to look more like the reference image(The first image).
- Make sure the app looks exactly like the screenshot.
- Pay close attention to background color, text color, font size, font family,
padding, margin, border, etc. Match the colors and sizes exactly.
- Use the exact text from the screenshot.
- Do not add comments in the code such as "" and "" in place of writing the full code. WRITE THE FULL CODE.
- Repeat elements as needed to match the screenshot. For example, if there are 15 items, the code should have 15 items. DO NOT LEAVE comments like "" or bad things will happen.
- For images, use placeholder images from https://placehold.co and include a detailed description of the image in the alt text so that an image generation AI can generate the image later.
In terms of libraries,
- Use this script to include Tailwind:
- You can use Google Fonts
- Font Awesome for icons:
Return only the full code in tags.
Do not include markdown "\`\`\`" or "\`\`\`html" at the start or end.`
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
})
export const runtime = 'edge' //vs cloud. Edge is faster but more expensive
export async function POST(req: Request) {
const { url } = await req.json()
const response = await openai.chat.completions.create({
model: 'gpt-4-vision-preview',
stream: true,
max_tokens: 4096,
messages: [
{
role: 'system',
content: SYSTEM_PROMPT,
},
{
role: 'user',
content: [
{
type: 'text',
text: USER_PROMPT,
},
{
type: 'image_url',
image_url: url
},
],
}
],
});
const stream = OpenAIStream(response)
return new StreamingTextResponse(stream)
}