Val Town Code SearchReturn to Val Town

1import blogPostEmbeddingsDimensionalityReduction from "https://esm.town/v/janpaul123/blogPostEmbeddingsDimensionalityReduction";
2
3export async function semanticSearchBlogPostPlot() {
4  const Plot = await import("https://cdn.jsdelivr.net/npm/@observablehq/plot@0.6.14/+esm");
5  const d3 = await import("https://cdn.jsdelivr.net/npm/d3@7/+esm");

9import OpenAI from "npm:openai";
10
11export default async function blogPostEmbeddingsDimensionalityReduction() {
12  const points = [
13    "animal that barks",
24
25  const openai = new OpenAI();
26  async function getEmbedding(str) {
27    return (await openai.embeddings.create({
28      model: "text-embedding-3-large",

22const openai = new OpenAI();
23const cache = {};
24async function getEmbedding(str) {
25  cache[str] = cache[str] || (await openai.embeddings.create({
26    model: "text-embedding-3-large",

1export default async function(req: Request): Promise<Response> {
2  return new Response(
3    JSON.stringify(

16const promptKey = 'imagePromptValue';
17
18export function updateForm() {
19    const model = document.getElementById('model').value;
20    const modelParams = document.getElementById('modelParams');
41}
42
43export async function handleFormSubmit(event) {
44    event.preventDefault();
45
131}
132
133function handleImageResponse(data, imageSize, model) {
134    const resultDiv = document.getElementById('result');
135
159}
160
161export function handleReset() {
162    const resultDiv = document.getElementById('result');
163    if (resultDiv) {

17const existingEmbeddingsIds = new Set(Object.keys(allValsBlobEmbeddingsMeta));
18
19function idForVal(val: any): string {
20  return `${val.author_username}!!${val.name}!!${val.version}`;
21}

8const githubQuery = (query: string) => encodeURIComponent(`${query} repo:pomdtr/val-town-mirror path:vals/`);
9
10async function handler(req: Request) {
11  const url = new URL(req.url);
12
30  }
31
32  function form(query, type) {
33    return (
34      <form method="GET" action="/search">

7const dimensions = 1536;
8
9export default async function semanticSearchPublicVals(query) {
10  const client = new Client(Deno.env.get("NEON_URL_VALSEMBEDDINGS"));
11  await client.connect();

10// CREATE TABLE vals_embeddings (id TEXT PRIMARY KEY, embedding VECTOR(1536));
11
12export default async function() {
13  const dimensions = 1536;
14
24  );
25
26  function idForVal(val: any): string {
27    return `${val.author_username}!!${val.name}!!${val.version}`;
28  }

1import { db as allValsDb } from "https://esm.town/v/sqlite/db?v=9";
2
3export default async function getValCode(val) {
4  let code = undefined;
5  for (let attempt = 1; true; attempt++) {