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import { ofStyle } from "https://esm.town/v/tmcw/ofStyle";

import { Context } from "npm:hono@3.8.1";

export function styleSystem() {

function StyleTag() {

return (

<style

dangerouslySetInnerHTML={{ __html: ofStyle }}

const styleRoute = (c: Context) => {

return c.body(null);

return { styleRoute, StyleTag };

const vt = new ValTown({ bearerToken: Deno.env.get("valtown") });

const username = "janpaul123";

const app = new Hono();

const jsxResponse = (jsx) => {

return new Response(renderToString(jsx), { headers: { "Content-Type": "text/html" } });

const systemprompt = `The conversation below is your recent interaction with the user. Your entire response should only be TypeScript. Your response should start with \`\`\`ts and end with \`\`\`. Make an HTTP val (other vals are currently not supported to run, even though we have examples for them). Start your response with a comment explaining how your approach will work, what libraries or API calls you will use, and any tradeoffs you're making. Then write the code in a consise way, the simplest way to achieve the goal, though you can add some inline comments to explain your reasoning (not for every line, but for major groups of lines). Don't use any environment variables unless strictly necessary, for example use APIs that don't require a key, prefer internal function imports (using esm.town), and prefer putting API keys as inline variables. Use built-in Deno functions where possible. Unless specified, don't add error handling, make sure that errors bubble up to the caller. There should be no comments like "more content here", it should be complete and directly runnable. The val should create a "export default async function main" which is the main function that gets executed on every HTTP request. `.replace("\n", " ");

const systemprompt2 = `Since your last response the user might have changed the code. The current version of the code is below. Keep your response as close to their current code as possible, only changing things that are strictly necessary to change.`.replace("\n", "");

const makeBubbleHeader = (emoji: string, id?: string, spin?: boolean) => {

export default async function(req: Request): Promise<Response> {

return new Response(

renderToString(

<script type="module" src="https://esm.town/v/saolsen/codemirrorTsBrowserEmacs" />

<form>

<textarea id="editorSource" className="for-codemirror" name="editorSource">

{`let hasAnError: string = 10;

function increment(num: number) {

return num + 1;

Generate fake doc pages for testing in [Starlight](https://starlight.astro.build/) with its built in [components](https://starlight.astro.build/guides/components/) and [hacker jargon](https://fakerjs.dev/api/hacker) from [Faker](https://fakerjs.dev/).

If you are looking to add the required `title` frontmatter for a batch of files you can use [this python script](https://gist.github.com/kmalloy24/6a4e20d30a773a7fc13ebdd4331cc73d) to interpret the `title` from the filename.

function App() {

const [markdown, setMarkdown] = useState("");

const generateLoremIpsum = () => {

const validIconNames = [

'up-caret', 'down-caret', 'right-caret', 'right-arrow', 'left-arrow', 'bars', 'translate', 'pencil', 'pen', 'document',

'add-document', 'setting', 'external', 'moon', 'sun', 'laptop', 'open-book', 'information', 'magnifier', 'forward-slash',

'close', 'error', 'warning', 'approve-check-circle', 'approve-check', 'rocket', 'star', 'puzzle', 'list-format', 'random',

export async function getSampleDocuments() {

const { Document } = await import("npm:langchain/document");

const docs = [

new Document({

metadata: { foo: "bar" },

pageContent: "pinecone is a vector db",

new Document({

metadata: { foo: "bar" },

pageContent: "the quick brown fox jumped over the lazy dog",

new Document({

export const d3 = (() => {

const _ = import("npm:d3");

return _;

export let dynamicImportTypeExample = async (col: import("npm:xlsx").ColInfo) => {

col.width; // typed

export const internalStreamThesephistComRSS = (async () => {

const { DOMParser } = await import(

"https://deno.land/x/deno_dom/deno-dom-wasm.ts"

const { default: he } = await import("npm:he");

async function getRss() {

return fetch("https://stream.thesephist.com/?n=25")

.then(function (response) {

return response.text();

.then(function (html) {

var parser = new DOMParser();

Generate custom builds for my CSS-only tooltip library, [cuetip](https://github.com/Pinjasaur/cuetip). [Read more](https://paul.af/val-town).

Try it out: <https://pinjasaur.github.io/cuetip/customize>

const cors = {

"Access-Control-Allow-Origin": "*",

"Access-Control-Allow-Headers": "*",

const getJSON = async url => (await fetch(url)).json();

const getText = async url => (await fetch(url)).text();

export default (req: Request) => {

return new Response(

renderToString(

<html>

<link rel="stylesheet" href="https://unpkg.com/missing.css@1.1.1" />

<main>

<h1>Hello atlted!</h1>

<p>This is your first val. Edit this text!</p>

</main>

export default (req: Request) => {

return new Response(

renderToString(

<html>

<head>

<title>Guillermo Rauch's val</title>

<meta name="viewport" content="width=device-width, initial-scale=1" />

<meta name="theme-color" content="#000" />

<style>

const DIAMOND_LEAGUE_EVENT_URL = "https://shanghai.diamondleague.com/programme-results/programme-results-shanghai/";

function normalizeURL(url: string) {

return url.startsWith("http://") || url.startsWith("https://")

? url

: "http://" + url;

async function fetchText(url: string, options?: any) {

const response = await fetch(normalizeURL(url), {

redirect: "follow",

...(options || {}),

return response.text();

- [[https://www.val.town/v/all/promptGen]]

- [[https://www.val.town/v/stevekrouse/valwriter]]

- _Note_: It looks like openai enhancement was dropped at some point when adding all the gizmos;

* This val creates a website called TownGen that generates optimized prompts for Hono and Deno based on user input.

* It uses a simulated API for Hono and Deno features and incorporates a loading animation.

* The prompt is tested and debugged using a simulated API before presenting to the user.

* It includes a pill box multi-select for enhanced features from npm packages, organized into categories.

* A large submit button and a 10-second animation are added when generating the prompt.

* Categories have been updated to focus on specific areas as requested.

import { render } from "npm:preact-render-to-string";

export const preactExample = () =>

new Response(render(<div>Test {1 + 1}</div>), {

headers: {

"Content-Type": "text/html",

This is very experimental, more of a prototype of an architecture, than a true framework

Example: https://www.val.town/v/stevekrouse/TodoApp

export const Button = (props) => {

const [clientHydrated, setClientHydrated] = useState(false);

useEffect(() => setClientHydrated(true), []);

return <button disabled={!clientHydrated} {...props}></button>;

export const Form = ({ onSubmit, ...props }: any) => {