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Extrapolate – AI Aging App

Age transformation AI app powered by Next.js, Replicate, Upstash, and Cloudflare R2 + Workers.

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Extrapolate

See how well you age with AI

Introduction · Features · Deploy Your Own · Author


--NEW README COMING SOON--

Introduction

Extrapolate is an app for you to see how well you age by transforming your face with Artificial Intelligence.

https://user-images.githubusercontent.com/28986134/213781048-d215894d-2286-4176-a200-f745b255ecbe.mp4

Features

  • 3s GIF of your face as it ages through time 🧓
  • Store & retrieve photos from Cloudflare R2 using Workers

Deploy Your Own

You can deploy this template to Vercel with the button below:

Note that you'll need to:

  • Set up a ReplicateHQ account to get the REPLICATE_API_TOKEN env var.
  • Set up an Upstash account to get the Upstash Redis env vars.
  • Create a Cloudflare R2 instance and set up a Cloudflare Worker to handle uploads & reads (instructions below).

Cloudflare R2 setup instructions

  1. Go to Cloudflare and create an R2 bucket.
  2. Create a Cloudflare Worker using the code snippet below.
  3. Bind your worker to your R2 instance under Settings > R2 Bucket Bindings.
  4. For extra security, set an AUTH_KEY_SECRET variable under Settings > Environment Variables (you can generate a random secret here).
  5. Replace all instances of images.extrapolate.workers.dev in the codebase with your Cloudflare Worker endpoint.
Cloudflare Worker Code
// Check requests for a pre-shared secret
const hasValidHeader = (request, env) => {
return request.headers.get("X-CF-Secret") === env.AUTH_KEY_SECRET;
};
function authorizeRequest(request, env, key) {
switch (request.method) {
case "PUT":
case "DELETE":
return hasValidHeader(request, env);
case "GET":
return true;
default:
return false;
}
}
export default {
async fetch(request, env) {
const url = new URL(request.url);
const key = url.pathname.slice(1);
if (!authorizeRequest(request, env, key)) {
return new Response("Forbidden", { status: 403 });
}
switch (request.method) {
case "PUT":
await env.MY_BUCKET.put(key, request.body);
return new Response(`Put ${key} successfully!`);
case "GET":
const object = await env.MY_BUCKET.get(key);
if (object === null) {
return new Response("Object Not Found", { status: 404 });
}
const headers = new Headers();
object.writeHttpMetadata(headers);
headers.set("etag", object.httpEtag);
return new Response(object.body, {
headers,
});
case "DELETE":
await env.MY_BUCKET.delete(key);
return new Response("Deleted!");
default:
return new Response("Method Not Allowed", {
status: 405,
headers: {
Allow: "PUT, GET, DELETE",
},
});
}
},
};

Author

  • Steven Tey (@steventey)
GitHub
Ownersteven-tey
Repositoryextrapolate
Use Cases
AI
Stack
Next.js
Tailwind
Database
Upstash

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