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1export default async function (req: Request): Promise<Response> {
2  return Response.json({ ok: true })
3}

81          dangerouslySetInnerHTML={{
82            __html: `
83            function copyToClipboard(codeEl) {
84              navigator.clipboard.writeText(codeEl.innerText);
85              codeEl.classList.add('hl');

38console.log(text);
39
40export async function weatherGPT() {
41  await email({ subject: "Weather Today", text });
42}

3import { render } from "npm:preact-render-to-string";
4
5function Car(props) {
6  return <h2>Hi, I am a {props.color} component Car!</h2>;
7}
8
9function Garage() {
10  return (
11    <>

2import { z } from "npm:zod";
3
4// Function to handle image and text input using OpenAI's GPT-4-turbo
5async function handleImageChat() {
6  const initialMessages = [
7    { role: "system", content: "You are a helpful assistant." },
30}
31
32// Run the function
33await handleImageChat();
34

7const cacheKey = location => "easyAQI_locationID_cache_" + encodeURIComponent(location);
8
9export async function easyAQI({ location }: {
10  location: string;
11}) {

7const cacheKey = location => "easyAQI_locationID_cache_" + encodeURIComponent(location);
8
9export async function easyAQI({ location }: {
10  location: string;
11}) {

94};
95
96async function handler(req: Request): Promise<Response> {
97  const url = new URL(req.url);
98  if (req.method === "GET" && url.pathname === "/event") {

31console.log(text);
32
33export async function weatherGPT() {
34  await email({ subject: "Weather Today", text });
35}

10const dimensions = 1536;
11
12export default async function semanticSearchPublicVals(query) {
13  const allValsBlobEmbeddingsMeta = (await blob.getJSON(`allValsBlob${dimensions}EmbeddingsMeta`)) ?? {};
14  const allBatchDataIndexes = _.uniq(Object.values(allValsBlobEmbeddingsMeta).map((item: any) => item.batchDataIndex));