extrapolate

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

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Extrapolate is an app that uses Artificial Intelligence to show you how your face ages over time. It generates a 3-second GIF of your aging face and allows you to store and retrieve photos from Cloudflare R2 using Workers. Users can deploy their own version of Extrapolate on Vercel by setting up ReplicateHQ and Upstash accounts, as well as creating a Cloudflare R2 instance with a Cloudflare Worker to handle uploads and reads. The tool provides a fun and interactive way to visualize the aging process through AI technology.

README:

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

Go to Cloudflare and create an R2 bucket.
Create a Cloudflare Worker using the code snippet below.
Bind your worker to your R2 instance under Settings > R2 Bucket Bindings.
For extra security, set an AUTH_KEY_SECRET variable under Settings > Environment Variables (you can generate a random secret here).
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)

For Tasks:

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