/** @jsxImportSource https://esm.sh/react */ import React, { useState, useEffect, useRef } from "https://esm.sh/react"; import { createRoot } from "https://esm.sh/react-dom/client"; import Cerebras from "https://esm.sh/@cerebras/cerebras_cloud_sdk"; const MODELS = ["llama3.1-8b", "llama3.1-70b"]; function App() { const [messages, setMessages] = useState>([]); const [edits, setEdits] = useState>( [] ); const [input, setInput] = useState(""); const [isLoading, setIsLoading] = useState(false); const [htmlOutput, setHtmlOutput] = useState(""); const [selectedModel, setSelectedModel] = useState(MODELS[0]); const messagesEndRef = useRef(null); const iframeRef = useRef(null); useEffect(() => { if (iframeRef.current) { const iframeDoc = iframeRef.current.contentDocument; iframeDoc?.open(); iframeDoc?.write(htmlOutput); iframeDoc?.close(); } }, [htmlOutput]); const sendMessage = async (e?: React.FormEvent) => { e?.preventDefault(); if (input.trim() === "") return; const newMessages = [ { role: "system", content: "You are a helpful assistant. Respond only with HTML code wrapped in ```html ``` code fences. The HTML should be a complete, valid document including , , , and tags." }, ...messages, { role: "user", content: input } ]; setMessages(newMessages); setInput(""); setIsLoading(true); try { const response = await fetch("/api/chat", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ messages: newMessages, model: selectedModel }), }); const data = await response.json(); // Parse out the HTML content const htmlMatch = data.content.match(/```html\s*([\s\S]*?)\s*```/); if (htmlMatch && htmlMatch[1]) { setHtmlOutput(htmlMatch[1].trim()); } else { setHtmlOutput("

No valid HTML found in the response.

"); } setMessages([...newMessages, { role: "assistant", content: data.content }]); if (input.trim() !== "") { setEdits([...edits, { id: Date.now(), content: input }]); } } catch (error) { console.error("Error:", error); } finally { setIsLoading(false); } }; return (

HTML Editor with Llama 8B/70B

{edits.map((edit) => (

{edit.content}

))}

{isLoading && (

AI is thinking...

)}

View Source

HTML Output

); } function client() { createRoot(document.getElementById("root")).render(); } if (typeof document !== "undefined") { client(); } async function server(request: Request): Promise { if (request.method === "POST" && new URL(request.url).pathname === "/api/chat") { const { messages, model } = await request.json(); const client = new Cerebras(); try { const completionCreateResponse = await client.chat.completions.create({ messages, model: "llama3.1-70b", }); return new Response(JSON.stringify({ content: completionCreateResponse.choices[0].message.content }), { headers: { "Content-Type": "application/json" }, }); } catch (error) { return new Response(JSON.stringify({ error: "Failed to get AI response" }), { status: 500, headers: { "Content-Type": "application/json" }, }); } } return new Response( ` Chat with Llama 8B

`, { headers: { "content-type": "text/html", }, } ); } export default server;

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