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Requires you to put the React component in another val, in this case: https://www.val.town/v/stevekrouse/TodoApp

import ssr_hydrate from "https://esm.town/v/stevekrouse/ssr_hydrate_react";

export default ssr_hydrate("stevekrouse", "TodoApp");

import React, { useState, useEffect, useRef } from "https://esm.sh/react@18.2.0";

import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";

import { marked } from "https://esm.sh/marked@4.3.0";

score += Math.min(tagScore, 0.3); // Cap tag score at 0.3

// Consider channel relevance

if (videoData.channelTitle.toLowerCase().includes(sport.toLowerCase())) {

import confetti from "https://esm.sh/canvas-confetti";

import React, { useEffect, useState } from "https://esm.sh/react";

import { createRoot } from "https://esm.sh/react-dom/client";

function slugify(text: string): string {

const termCount = terms.split("\n").filter(t => t.trim()).length;

const handleSubmit = async (e: React.FormEvent) => {

e.preventDefault();

origin: { y: 0.6 },

// Fire again from the sides after a small delay

setTimeout(() => {

localStorage.setItem(`bingo-${gameId}-${playerId}`, JSON.stringify(newChecked));

const handleNameChange = (e: React.ChangeEvent<HTMLInputElement>) => {

const newName = e.target.value;

</div>

function client() {

const root = document.getElementById("root");

<BingoCard gameId={gameId} playerId={playerId} name={name} terms={terms} />,

if (typeof document !== "undefined") { client(); }

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

import confetti from "https://esm.sh/canvas-confetti@1.6.0";

import React, { useEffect, useState } from "https://esm.sh/react";

import { createRoot } from "https://esm.sh/react-dom/client";

function AlbertiCipherDisk({ outerRotation, innerRotation, onRotate }) {

<h2 className="text-3xl font-bold mb-6">Advanced Password Generation System: Usage Instructions</h2>

<ol className="list-decimal list-inside space-y-4 mb-6 text-lg">

<li>

<li>Utilize the Alberti Cipher Disk to introduce an additional layer of cryptographic complexity:</li>

<ul className="list-disc list-inside ml-6 space-y-2">

<li>

</div>

function client() {

createRoot(document.getElementById("root")).render(<App />);

if (typeof document !== "undefined") {

client();

async function server(request: Request): Promise<Response> {

* `import { LoginWithGoogleButton } from "https://esm.town/v/stevekrouse/LoginWithGoogleButton"`

* Use the <LoginWithGoogleButton /> React Component, optionally supplying the `text` attribute

* Add "via LastLogin" underneat LoginWithGoogleButton, centered, secondary text, linking to https://lastlogin.io/

* Pass the email from the server to the client-side code if using React hydration or similar techniques.

1. Your users click on the <LoginWithGoogleButton /> React Component in your app

2. The <LoginWithGoogleButton /> opens a new window to /auth/login?provider=google in your app

* If no email, add a link to "Login or Sign Up" to "/auth/login"

* Pass the email from the server to the client-side code if using React hydration or similar techniques.

const url = new URL(req.url);

const clientID = `${url.protocol}//${url.host}/`;

const redirectUri = `${url.protocol}//${url.host}/auth/callback`;

const tokenUrl = new URL("https://lastlogin.net/token");

tokenUrl.searchParams.set("client_id", clientID);

tokenUrl.searchParams.set("code", code);

const provider = url.searchParams.get("provider");

authUrl.searchParams.set("client_id", clientID);

authUrl.searchParams.set("redirect_uri", redirectUri);

import { createFalClient } from "https://esm.sh/@fal-ai/client";

import React, { useEffect, useState } from "https://esm.sh/react";

import { createRoot } from "https://esm.sh/react-dom/client";

const swiftEras = [

console.error("Error fetching images:", error);

const generateImage = async (e?: React.FormEvent) => {

e?.preventDefault();

try {

// Enhance the prompt using the server-side endpoint

const enhancedPromptResponse = await fetch("/api/enhance-prompt", {

console.log("Enhanced Prompt:", enhancedPrompt);

const fal = createFalClient({

proxyUrl: "/api/fal/proxy",

</div>

function client() {

createRoot(document.getElementById("root")).render(<App />);

if (typeof document !== "undefined") { client(); }

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

import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";

import React, { useState } from "https://esm.sh/react@18.2.0";

function ACCalculator() {

baseBTU += ((height - 2.4) * 3.28084) * length * width * 2.5;

// Regional and efficiency considerations

const adjustedBTU = baseBTU * regionFactor.heating;

</div>

function client() {

createRoot(document.getElementById("root")).render(<ACCalculator />);

if (typeof document !== "undefined") { client(); }

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

import React, { useState } from "https://esm.sh/react";

import { createRoot } from "https://esm.sh/react-dom/client";

function App() {

</div>

function client() {

createRoot(document.getElementById("root")).render(<App />);

if (typeof document !== "undefined") { client(); }

function extractJSONFromMarkdown(markdown: string): string {

ingredients ? ` using some or all of these ingredients: ${ingredients}` : ""

dietaryRestrictions ? ` considering these dietary restrictions or allergies: ${dietaryRestrictions}` : ""

}. Be creative and prefer interesting rather than predictable dishes, unless the list of provided ingredients, if any, doesn't allow for it. Nevertheless, make sure the recipe makes sense and it's not just a bunch of random ingredients thrown together. For each recipe, provide an interesting name, a detailed ingredients list as an array of objects, and cooking instructions as an array of detailed steps. Format the response as a JSON array of objects, each with 'name', 'ingredients', and 'instructions' properties. The 'ingredients' property should be an array of objects, each with 'name', 'metric', and 'imperial' properties. The 'name' property should contain only the ingredient name. For ingredients with specific measurements, include 'metric' and 'imperial' properties with the quantity in the respective unit system. For ingredients with arbitrary quantities (e.g., "to taste" or "as needed"), use an 'arbitrary' property instead of 'metric' and 'imperial'. Ensure the recipes are diverse and not repetitive. Wrap the JSON in triple backticks with 'json' language specifier.`;

import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";

import { Prism as SyntaxHighlighter } from "https://esm.sh/react-syntax-highlighter";

import React, { useEffect, useState } from "https://esm.sh/react@18.2.0";

setPrompt: React.Dispatch<React.SetStateAction<string>>;

handleSubmit: (e: React.FormEvent) => void;

const previewRef = React.useRef<HTMLDivElement>(null);

async function handleSubmit(e: React.FormEvent | string) {

<React.Fragment key={iframeKey}>

</React.Fragment>

import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";

import { Prism as SyntaxHighlighter } from "https://esm.sh/react-syntax-highlighter";

import React, { useEffect, useState } from "https://esm.sh/react@18.2.0";

setPrompt: React.Dispatch<React.SetStateAction<string>>;

handleSubmit: (e: React.FormEvent) => void;

const previewRef = React.useRef<HTMLDivElement>(null);

async function handleSubmit(e: React.FormEvent | string) {

<React.Fragment key={iframeKey}>

</React.Fragment>

"highlights": [

"Built an event management platform with secure authentication and full CRUD capabilities, streamlining client operations.",

"Crafted a website for a food truck that captures their unique branding and playful image. The site features a fun, user-centric interface that facilitates online inquiries and enhances user engagement.",

"company": "Mindpool",

"Integrated GPT-3.5 for prompt enhancement, significantly improving image and video quality.",

"Overcame the challenge of running FFmpeg client-side in Next.js, enabling real-time video processing in the browser."

"url": "https://github.com/iamseeley/falbulous-minimovie"

"name": "Web Development",

"keywords": ["HTML5", "CSS", "Tailwind CSS", "React", "Next.js", "Vite", "FastAPI", "Hono", "Framer Motion"]

"name": "Programming",

export const TOWNIE_SYSTEM_PROMPT =

import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";

import { Prism as SyntaxHighlighter } from "https://esm.sh/react-syntax-highlighter";

import React, { useEffect, useState } from "https://esm.sh/react@18.2.0";

setPrompt: React.Dispatch<React.SetStateAction<string>>;

handleSubmit: (e: React.FormEvent) => void;

const previewRef = React.useRef<HTMLDivElement>(null);

async function handleSubmit(e: React.FormEvent | string) {

<React.Fragment key={iframeKey}>

</React.Fragment>

Instead of struggling to teach it, we built this val to be a wrapper around @std/sqlite that adheres to what the LLMs expect.

This val is also backwards-compatible with @std/sqlite, so we're considering merging it in.

import React, { useState } from "https://esm.sh/react";

import { createRoot } from "https://esm.sh/react-dom/client";

import { nanoid } from "https://esm.sh/nanoid";

</div>

window.initClient = function() {

const rootElement = document.getElementById("root");

if (typeof document !== "undefined") {

window.initClient();

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

<script>

window.initClient && window.initClient();

</script>

import { createRoot } from "https://esm.sh/react-dom@18.2.0/client";

import { Prism as SyntaxHighlighter } from "https://esm.sh/react-syntax-highlighter";

import React, { useEffect, useState } from "https://esm.sh/react@18.2.0";

setPrompt: React.Dispatch<React.SetStateAction<string>>;

handleSubmit: (e: React.FormEvent) => void;

const previewRef = React.useRef<HTMLDivElement>(null);

async function handleSubmit(e: React.FormEvent | string) {

<React.Fragment key={iframeKey}>

</React.Fragment>