Building a self-creating website with Supabase and AI

• echoes-of-creation

  1 2 8.8 Astro

GitHub repo

• random-sample

  1 2 6.0 JavaScript

  Sample elements from an array-like object.

  

We'll loop the list of 80 IDs, picking a random piece of art from the original ID list. I'm using stdlib's random-sample which uses Fisher-Yates as its algorithm to randomize entries as I didn't want to bloat my own code too much with these kind of helpers. Fetching the artwork data I unfortunately noticed that some of the artwork do not have images available. This meant that we'll need to loop the list until we have 80 pieces with images. For the main piece of the story we keep things simple and just pick the first one in the list. We store some metadata along the way, too, which we can/will use later.

• SurveyJS

  surveyjs.io featured

  Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.

  

• supabase

  768 66,167 10.0 TypeScript

  The open source Firebase alternative.

  

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

• replicate-javascript

  5 406 8.8 TypeScript

  Node.js client for Replicate

  

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

• esm.sh

  58 2,825 9.8 Go

  A fast, smart, & global CDN for modern(es2015+) web development.

  

/* eslint-disable @typescript-eslint/ban-ts-comment */ // Follow this setup guide to integrate the Deno language server with your editor: // https://deno.land/manual/getting_started/setup_your_environment // This enables autocomplete, go to definition, etc. import { corsHeaders } from "../_shared/cors.ts"; import { createClient } from "https://esm.sh/@supabase/[email protected]"; import randomSample from "https://esm.sh/@stdlib/[email protected]"; import Replicate from "https://esm.sh/[email protected]"; import { base64 } from "https://cdn.jsdelivr.net/gh/hexagon/base64@1/src/base64.js"; const supabaseClient = createClient( Deno.env.get("SUPABASE_URL") ?? "", Deno.env.get("SUPABASE_SERVICE_ROLE_KEY") ?? "" ); const replicate = new Replicate({ auth: Deno.env.get("REPLICATE_API_TOKEN") ?? "", }); // @ts-expect-error Deno.serve(async (req) => { if (req.method === "OPTIONS") { return new Response("ok", { headers: corsHeaders }); } const { record } = await req.json(); const thought_id = record.id; if (!thought_id) { return new Response("Missing thought_id", { status: 400, headers: { "Content-Type": "application/json", ...corsHeaders }, }); } const allObjectIDsResponse = await fetch( "https://collectionapi.metmuseum.org/public/collection/v1/objects?departmentIds=11", { method: "GET", headers: { "Content-Type": "application/json", Accept: "application/json", }, } ); const { objectIDs } = await allObjectIDsResponse.json(); const listOfArtworks = []; const addedIDs: number[] = []; while (listOfArtworks.length < 80) { const randomObjectID = randomSample(objectIDs, { size: 1 })[0]; if (addedIDs.includes(randomObjectID)) continue; const res = await fetch( `https://collectionapi.metmuseum.org/public/collection/v1/objects/${randomObjectID}`, { method: "GET", headers: { "Content-Type": "application/json", Accept: "application/json", }, } ); const artwork = await res.json(); if (!artwork.primaryImageSmall) continue; addedIDs.push(artwork.objectID); listOfArtworks.push({ image_url: artwork.primaryImageSmall, artist_name: artwork.artistDisplayName, title: artwork.title, is_main: listOfArtworks.length === 0, is_variant: false, thought_id, }); } const mainImage = listOfArtworks[0]; const output = await replicate.run( "yorickvp/llava-13b:b5f6212d032508382d61ff00469ddda3e32fd8a0e75dc39d8a4191bb742157fb", { input: { image: mainImage.image_url, top_p: 1, prompt: "Describe this painting by " + mainImage.artist_name, max_tokens: 1024, temperature: 0.2, }, } ); const file = await fetch(mainImage.image_url).then((res) => res.blob()); const promises = []; for (let i = 0; i < 8; i++) { const body = new FormData(); body.append( "prompt", output.join("") + `, a painting by ${mainImage.artist_name}` ); body.append("output_format", "jpeg"); body.append("mode", "image-to-image"); body.append("image", file); body.append("strength", clamp(Math.random(), 0.4, 0.7)); const request = fetch( `${Deno.env.get( "STABLE_DIFFUSION_HOST" )}/v2beta/stable-image/generate/sd3`, { method: "POST", headers: { Accept: "application/json", Authorization: `Bearer ${Deno.env.get("STABLE_DIFFUSION_API_KEY")}`, }, body, } ); promises.push(request); } const results = await Promise.all(promises); const variants = await Promise.all(results.map((res) => res.json())); await supabaseClient.from("artworks").insert(listOfArtworks); for (let i = 0; i < variants.length; i++) { const variant = variants[i]; const randomId = Math.random(); await supabaseClient.storage .from("variants") .upload( `${thought_id}/${randomId}.jpeg`, base64.toArrayBuffer(variant.image), { contentType: "image/jpeg", } ); await supabaseClient.from("artworks").insert({ image_url: `${Deno.env.get( "SUPABASE_URL" )}/storage/v1/object/public/variants/${thought_id}/${randomId}.jpeg`, artist_name: mainImage.artist_name, is_main: false, is_variant: true, thought_id, }); } await supabaseClient .from("thoughts") .update({ generating: false }) .eq("id", thought_id); return new Response(JSON.stringify({ main: mainImage }), { headers: { "Content-Type": "application/json", ...corsHeaders }, }); }); function clamp(value: number, min: number, max: number) { return Math.min(Math.max(value, min), max); }

• astro

  505 42,546 10.0 TypeScript

  The web framework for content-driven websites. ⭐️ Star to support our work!

  

Built with Supabase, Astro, Unreal Speech, Stable Diffusion, Replicate, Metropolitan Museum of Art

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