| <!DOCTYPE html> |
| <html> |
| <head> |
| <meta charset="UTF-8" /> |
| <meta name="viewport" content="width=device-width, initial-scale=1.0" /> |
| <style> |
| @import url("https://fonts.googleapis.com/css2?family=Source+Code+Pro:wght@200;300;400&family=Source+Sans+3:wght@100;200;300;400;500;600;700;800;900&display=swap"); |
| html, |
| body { |
| font-family: "Source Sans 3", sans-serif; |
| } |
| </style> |
| <title>Candle Blip Image Captioning Demo</title> |
| <script src="https://cdn.tailwindcss.com/3.4.3"></script> |
| <script type="module" src="./code.js"></script> |
| <script type="module"> |
| const MODELS = { |
| blip_image_quantized_q4k: { |
| base_url: "https://huggingface.co/lmz/candle-blip/resolve/main/", |
| model: "blip-image-captioning-large-q4k.gguf", |
| config: "config.json", |
| tokenizer: "tokenizer.json", |
| quantized: true, |
| size: "271 MB", |
| }, |
| blip_image_quantized_q80: { |
| base_url: "https://huggingface.co/lmz/candle-blip/resolve/main/", |
| model: "blip-image-captioning-large-q80.gguf", |
| config: "config.json", |
| tokenizer: "tokenizer.json", |
| quantized: true, |
| size: "505 MB", |
| }, |
| blip_image_large: { |
| base_url: |
| "https://huggingface.co/Salesforce/blip-image-captioning-large/resolve/refs%2Fpr%2F18/", |
| model: "model.safetensors", |
| config: "config.json", |
| tokenizer: "tokenizer.json", |
| quantized: false, |
| size: "1.88 GB", |
| }, |
| }; |
| |
| const blipWorker = new Worker("./blipWorker.js", { |
| type: "module", |
| }); |
| |
| const outputStatusEl = document.querySelector("#output-status"); |
| const outputCaptionEl = document.querySelector("#output-caption"); |
| const modelSelectEl = document.querySelector("#model"); |
| const clearBtn = document.querySelector("#clear-btn"); |
| const fileUpload = document.querySelector("#file-upload"); |
| const dropArea = document.querySelector("#drop-area"); |
| const imagesExamples = document.querySelector("#image-select"); |
| const canvas = document.querySelector("#canvas"); |
| const ctxCanvas = canvas.getContext("2d"); |
| |
| let isCaptioning = false; |
| let currentImageURL = null; |
| clearBtn.addEventListener("click", () => { |
| clearImageCanvas(); |
| }); |
| modelSelectEl.addEventListener("change", () => { |
| if (currentImageURL) { |
| runInference(currentImageURL); |
| } |
| }); |
| |
| |
| fileUpload.addEventListener("input", async (e) => { |
| const target = e.target; |
| if (target.files.length > 0) { |
| const href = URL.createObjectURL(target.files[0]); |
| clearImageCanvas(); |
| await drawImageCanvas(href); |
| runInference(href); |
| } |
| }); |
| |
| dropArea.addEventListener("dragenter", (e) => { |
| e.preventDefault(); |
| dropArea.classList.add("border-blue-700"); |
| }); |
| dropArea.addEventListener("dragleave", (e) => { |
| e.preventDefault(); |
| dropArea.classList.remove("border-blue-700"); |
| }); |
| dropArea.addEventListener("dragover", (e) => { |
| e.preventDefault(); |
| }); |
| dropArea.addEventListener("drop", async (e) => { |
| e.preventDefault(); |
| dropArea.classList.remove("border-blue-700"); |
| const url = e.dataTransfer.getData("text/uri-list"); |
| const files = e.dataTransfer.files; |
| |
| if (files.length > 0) { |
| const href = URL.createObjectURL(files[0]); |
| clearImageCanvas(); |
| await drawImageCanvas(href); |
| runInference(href); |
| } else if (url) { |
| clearImageCanvas(); |
| await drawImageCanvas(url); |
| runInference(url); |
| } |
| }); |
| |
| imagesExamples.addEventListener("click", async (e) => { |
| if (isCaptioning) { |
| return; |
| } |
| const target = e.target; |
| if (target.nodeName === "IMG") { |
| const href = target.src; |
| clearImageCanvas(); |
| await drawImageCanvas(href); |
| runInference(href); |
| } |
| }); |
| function clearImageCanvas() { |
| ctxCanvas.clearRect(0, 0, canvas.width, canvas.height); |
| isCaptioning = false; |
| clearBtn.disabled = true; |
| canvas.parentElement.style.height = "auto"; |
| outputStatusEl.hidden = false; |
| outputCaptionEl.hidden = true; |
| outputStatusEl.innerText = "Please select an image"; |
| currentImageURL = null; |
| } |
| |
| async function drawImageCanvas(imgURL) { |
| if (!imgURL) { |
| throw new Error("No image URL provided"); |
| } |
| return new Promise((resolve, reject) => { |
| ctxCanvas.clearRect(0, 0, canvas.width, canvas.height); |
| ctxCanvas.clearRect(0, 0, canvas.width, canvas.height); |
| |
| const img = new Image(); |
| img.crossOrigin = "anonymous"; |
| img.onload = () => { |
| canvas.width = img.width; |
| canvas.height = img.height; |
| ctxCanvas.drawImage(img, 0, 0); |
| canvas.parentElement.style.height = canvas.offsetHeight + "px"; |
| clearBtn.disabled = false; |
| resolve(img); |
| }; |
| img.src = imgURL; |
| currentImageURL = imgURL; |
| }); |
| } |
| |
| document.addEventListener("DOMContentLoaded", () => { |
| for (const [id, model] of Object.entries(MODELS)) { |
| const option = document.createElement("option"); |
| option.value = id; |
| option.innerText = `${id} (${model.size})`; |
| modelSelectEl.appendChild(option); |
| } |
| }); |
| async function getImageCaption( |
| worker, |
| weightsURL, |
| tokenizerURL, |
| configURL, |
| modelID, |
| imageURL, |
| quantized, |
| updateStatus = null |
| ) { |
| return new Promise((resolve, reject) => { |
| worker.postMessage({ |
| weightsURL, |
| tokenizerURL, |
| configURL, |
| modelID, |
| imageURL, |
| quantized, |
| }); |
| function messageHandler(event) { |
| if ("error" in event.data) { |
| worker.removeEventListener("message", messageHandler); |
| reject(new Error(event.data.error)); |
| } |
| if (event.data.status === "complete") { |
| worker.removeEventListener("message", messageHandler); |
| resolve(event.data); |
| } |
| if (updateStatus) updateStatus(event.data); |
| } |
| worker.addEventListener("message", messageHandler); |
| }); |
| } |
| function updateStatus(data) { |
| if (data.status === "status") { |
| outputStatusEl.innerText = data.message; |
| } |
| } |
| async function runInference(imageURL) { |
| if (isCaptioning || !imageURL) { |
| alert("Please select an image first"); |
| return; |
| } |
| |
| outputStatusEl.hidden = false; |
| outputCaptionEl.hidden = true; |
| clearBtn.disabled = true; |
| modelSelectEl.disabled = true; |
| isCaptioning = true; |
| const selectedModel = modelSelectEl.value; |
| const model = MODELS[selectedModel]; |
| const weightsURL = `${model.base_url}${model.model}`; |
| const tokenizerURL = `${model.base_url}${model.tokenizer}`; |
| const configURL = `${model.base_url}${model.config}`; |
| const quantized = model.quantized; |
| try { |
| const time = performance.now(); |
| const caption = await getImageCaption( |
| blipWorker, |
| weightsURL, |
| tokenizerURL, |
| configURL, |
| selectedModel, |
| imageURL, |
| quantized, |
| updateStatus |
| ); |
| outputStatusEl.hidden = true; |
| outputCaptionEl.hidden = false; |
| const totalTime = ((performance.now() - time)/1000).toFixed(2); |
| outputCaptionEl.innerHTML = `${ |
| caption.output |
| }<br/><span class="text-xs">Inference time: ${totalTime} s</span>`; |
| } catch (err) { |
| console.error(err); |
| outputStatusEl.hidden = false; |
| outputCaptionEl.hidden = true; |
| outputStatusEl.innerText = err.message; |
| } |
| clearBtn.disabled = false; |
| modelSelectEl.disabled = false; |
| isCaptioning = false; |
| } |
| </script> |
| </head> |
| <body class="container max-w-4xl mx-auto p-4"> |
| <main class="grid grid-cols-1 gap-5 relative"> |
| <span class="absolute text-5xl -ml-[1em]"> 🕯️ </span> |
| <div> |
| <h1 class="text-5xl font-bold">Candle BLIP Image Captioning</h1> |
| <h2 class="text-2xl font-bold">Rust/WASM Demo</h2> |
| <p class="max-w-lg"> |
| <a |
| href="https://huggingface.co/Salesforce/blip-image-captioning-large" |
| target="_blank" |
| class="underline hover:text-blue-500 hover:no-underline" |
| >BLIP Image Captioning |
| </a> |
| running in the browser using |
| <a |
| href="https://github.com/huggingface/candle/" |
| target="_blank" |
| class="underline hover:text-blue-500 hover:no-underline" |
| >Candle</a |
| >, a minimalist ML framework for Rust. |
| </p> |
| <p class="text-xs max-w-lg py-2"> |
| <b>Note:</b> |
| The image captioning on the smallest model takes about ~50 seconds, it |
| will vary depending on your machine and model size. |
| </p> |
| </div> |
|
|
| <div> |
| <label for="model" class="font-medium block">Models Options: </label> |
| <select |
| id="model" |
| class="border-2 border-gray-500 rounded-md font-light interactive disabled:cursor-not-allowed w-full max-w-max" |
| ></select> |
| </div> |
| |
| <div class="grid gap-4 sm:grid-cols-2 py-4"> |
| <div class="relative max-w-lg"> |
| <div |
| class="absolute w-full bottom-full flex justify-between items-center" |
| > |
| <div class="flex gap-2 w-full"> |
| <button |
| id="clear-btn" |
| disabled |
| title="Clear Image" |
| class="ml-auto text-xs bg-white rounded-md disabled:opacity-50 flex gap-1 items-center" |
| > |
| <svg |
| class="" |
| xmlns="http://www.w3.org/2000/svg" |
| viewBox="0 0 13 12" |
| height="1em" |
| > |
| <path |
| d="M1.6.7 12 11.1M12 .7 1.6 11.1" |
| stroke="#2E3036" |
| stroke-width="2" |
| /> |
| </svg> |
| </button> |
| </div> |
| </div> |
| <div |
| id="drop-area" |
| class="flex flex-col items-center justify-center border-2 border-gray-300 border-dashed rounded-xl relative aspect-video w-full overflow-hidden" |
| > |
| <div |
| class="flex flex-col items-center justify-center space-y-1 text-center" |
| > |
| <svg |
| width="25" |
| height="25" |
| viewBox="0 0 25 25" |
| fill="none" |
| xmlns="http://www.w3.org/2000/svg" |
| > |
| <path |
| d="M3.5 24.3a3 3 0 0 1-1.9-.8c-.5-.5-.8-1.2-.8-1.9V2.9c0-.7.3-1.3.8-1.9.6-.5 1.2-.7 2-.7h18.6c.7 0 1.3.2 1.9.7.5.6.7 1.2.7 2v18.6c0 .7-.2 1.4-.7 1.9a3 3 0 0 1-2 .8H3.6Zm0-2.7h18.7V2.9H3.5v18.7Zm2.7-2.7h13.3c.3 0 .5 0 .6-.3v-.7l-3.7-5a.6.6 0 0 0-.6-.2c-.2 0-.4 0-.5.3l-3.5 4.6-2.4-3.3a.6.6 0 0 0-.6-.3c-.2 0-.4.1-.5.3l-2.7 3.6c-.1.2-.2.4 0 .7.1.2.3.3.6.3Z" |
| fill="#000" |
| /> |
| </svg> |
| <div class="flex text-sm text-gray-600"> |
| <label |
| for="file-upload" |
| class="relative cursor-pointer bg-white rounded-md font-medium text-blue-950 hover:text-blue-700" |
| > |
| <span>Drag and drop y our image here</span> |
| <span class="block text-xs">or</span> |
| <span class="block text-xs">Click to upload</span> |
| </label> |
| </div> |
| <input |
| id="file-upload" |
| name="file-upload" |
| type="file" |
| class="sr-only" |
| /> |
| </div> |
| <canvas |
| id="canvas" |
| class="absolute pointer-events-none w-full" |
| ></canvas> |
| </div> |
| </div> |
| <div class=""> |
| <div |
| class="h-full bg-slate-100 text-gray-500 p-4 rounded-md flex flex-col gap-2" |
| > |
| <p |
| id="output-caption" |
| class="m-auto text-xl text-center p-2" |
| hidden |
| ></p> |
| <span id="output-status" class="m-auto font-light"> |
| Please select an image |
| </span> |
| </div> |
| </div> |
| </div> |
|
|
| <div> |
| <div |
| class="flex gap-3 items-center overflow-x-scroll" |
| id="image-select" |
| > |
| <h3 class="font-medium">Examples:</h3> |
|
|
| <img |
| src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/candle/examples/sf.jpg" |
| class="cursor-pointer w-24 h-24 object-cover" |
| /> |
| <img |
| src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/candle/examples/bike.jpeg" |
| class="cursor-pointer w-24 h-24 object-cover" |
| /> |
| <img |
| src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/candle/examples/000000000077.jpg" |
| class="cursor-pointer w-24 h-24 object-cover" |
| /> |
| </div> |
| </div> |
| </main> |
| </body> |
| </html> |
|
|
