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Create image2text.html

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+ <!DOCTYPE html>
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+ <html>
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+ <head>
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+ <meta charset="UTF-8" />
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
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+ <script src="https://cdn.tailwindcss.com"></script>
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+ <!-- polyfill for firefox + import maps -->
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+ <script src="https://unpkg.com/[email protected]/dist/es-module-shims.js"></script>
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+ <script type="importmap">
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+ {
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+ "imports": {
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+ "@huggingface/inference": "https://cdn.jsdelivr.net/npm/@huggingface/[email protected]/+esm"
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+ }
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+ }
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+ </script>
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+ </head>
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+ <body>
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+ <form class="w-[90%] mx-auto pt-8" onsubmit="launch(); return false;">
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+ <h1 class="text-3xl font-bold">
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+ <span
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+ class="bg-clip-text text-transparent bg-gradient-to-r from-pink-500 to-violet-500"
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+ >
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+ Image to text demo with
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+ <a href="https://github.com/huggingface/huggingface.js">
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+ <kbd>@huggingface/inference</kbd>
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+ </a>
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+ </span>
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+ </h1>
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+
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+ <p class="mt-8">
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+ First, input your token if you have one! Otherwise, you may encounter
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+ rate limiting. You can create a token for free at
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+ <a
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+ target="_blank"
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+ href="https://huggingface.co/settings/tokens"
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+ class="underline text-blue-500"
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+ >hf.co/settings/tokens</a
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+ >
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+ </p>
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+
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+ <input
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+ type="text"
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+ id="token"
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+ class="rounded border-2 border-blue-500 shadow-md px-3 py-2 w-96 mt-6"
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+ placeholder="token (optional)"
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+ />
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+
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+ <p class="mt-8">
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+ Pick the model you want to run. Check out over 100 models for image to text
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+ <a
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+ href="https://huggingface.co/tasks/image-to-text"
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+ class="underline text-blue-500"
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+ target="_blank"
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+ >
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+ here</a
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+ >. The default model is for image captioning, but you can do text extraction, ...
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+ </p>
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+
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+ <!-- Default model: https://huggingface.co/nlpconnect/vit-gpt2-image-captioning -->
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+ <input
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+ type="text"
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+ id="model"
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+ class="rounded border-2 border-blue-500 shadow-md px-3 py-2 w-96 mt-6"
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+ value="nlpconnect/vit-gpt2-image-captioning"
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+ required
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+ />
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+
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+ <p class="mt-8">Finally the input image</p>
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+
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+ <input type="file" required accept="image/*"
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+ class="rounded border-blue-500 shadow-md px-3 py-2 w-96 mt-6 block"
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+ rows="5"
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+ id="prompt"
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+ />
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+
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+ <button
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+ id="submit"
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+ class="my-8 bg-green-500 rounded py-3 px-5 text-white shadow-md disabled:bg-slate-300"
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+ >
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+ Run
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+ </button>
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+
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+ <p class="text-gray-400 text-sm">Output logs</p>
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+ <div id="logs" class="bg-gray-100 rounded p-3 mb-8 text-sm">
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+ Output will be here
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+ </div>
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+
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+ <p>Check out the <a class="underline text-blue-500" href="https://huggingface.co/spaces/huggingfacejs/image-to-text/blob/main/index.html" target="_blank">source code</a></p>
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+ </form>
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+
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+ <script type="module">
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+ import { HfInference } from "@huggingface/inference";
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+ let running = false;
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+ async function launch() {
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+ if (running) {
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+ return;
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+ }
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+ running = true;
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+ try {
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+ const hf = new HfInference(
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+ document.getElementById("token").value.trim() || undefined
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+ );
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+ const model = document.getElementById("model").value.trim();
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+ const prompt = document.getElementById("prompt").files[0];
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+ document.getElementById("logs").textContent = "";
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+ const {generated_text} = await hf.imageToText({model, data: prompt});
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+ document.getElementById("logs").textContent = generated_text;
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+ } catch (err) {
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+ alert("Error: " + err.message);
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+ } finally {
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+ running = false;
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+ }
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+ }
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+ window.launch = launch;
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+ </script>
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+ </body>
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+ </html>