-
- )}
- Loading model and database...
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/extension/src/popup.js b/examples/extension/src/popup.js
deleted file mode 100644
index 720304c1a..000000000
--- a/examples/extension/src/popup.js
+++ /dev/null
@@ -1,21 +0,0 @@
-// popup.js - handles interaction with the extension's popup, sends requests to the
-// service worker (background.js), and updates the popup's UI (popup.html) on completion.
-
-const inputElement = document.getElementById('text');
-const outputElement = document.getElementById('output');
-
-// Listen for changes made to the textbox.
-inputElement.addEventListener('input', (event) => {
-
- // Bundle the input data into a message.
- const message = {
- action: 'classify',
- text: event.target.value,
- }
-
- // Send this message to the service worker.
- chrome.runtime.sendMessage(message, (response) => {
- // Handle results returned by the service worker (`background.js`) and update the popup's UI.
- outputElement.innerText = JSON.stringify(response, null, 2);
- });
-});
diff --git a/examples/extension/webpack.config.js b/examples/extension/webpack.config.js
deleted file mode 100644
index 8e96f29d6..000000000
--- a/examples/extension/webpack.config.js
+++ /dev/null
@@ -1,42 +0,0 @@
-
-import path from 'path';
-import { fileURLToPath } from 'url';
-
-import HtmlWebpackPlugin from 'html-webpack-plugin';
-import CopyPlugin from 'copy-webpack-plugin';
-
-const __dirname = path.dirname(fileURLToPath(import.meta.url));
-
-const config = {
- mode: 'development',
- devtool: 'inline-source-map',
- entry: {
- background: './src/background.js',
- popup: './src/popup.js',
- content: './src/content.js',
- },
- output: {
- path: path.resolve(__dirname, 'build'),
- filename: '[name].js',
- },
- plugins: [
- new HtmlWebpackPlugin({
- template: './src/popup.html',
- filename: 'popup.html',
- }),
- new CopyPlugin({
- patterns: [
- {
- from: "public",
- to: "." // Copies to build folder
- },
- {
- from: "src/popup.css",
- to: "popup.css"
- }
- ],
- })
- ],
-};
-
-export default config;
diff --git a/examples/florence2-webgpu/.eslintrc.cjs b/examples/florence2-webgpu/.eslintrc.cjs
deleted file mode 100644
index 3e212e1d4..000000000
--- a/examples/florence2-webgpu/.eslintrc.cjs
+++ /dev/null
@@ -1,21 +0,0 @@
-module.exports = {
- root: true,
- env: { browser: true, es2020: true },
- extends: [
- 'eslint:recommended',
- 'plugin:react/recommended',
- 'plugin:react/jsx-runtime',
- 'plugin:react-hooks/recommended',
- ],
- ignorePatterns: ['dist', '.eslintrc.cjs'],
- parserOptions: { ecmaVersion: 'latest', sourceType: 'module' },
- settings: { react: { version: '18.2' } },
- plugins: ['react-refresh'],
- rules: {
- 'react/jsx-no-target-blank': 'off',
- 'react-refresh/only-export-components': [
- 'warn',
- { allowConstantExport: true },
- ],
- },
-}
diff --git a/examples/florence2-webgpu/.gitignore b/examples/florence2-webgpu/.gitignore
deleted file mode 100644
index a547bf36d..000000000
--- a/examples/florence2-webgpu/.gitignore
+++ /dev/null
@@ -1,24 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
diff --git a/examples/florence2-webgpu/README.md b/examples/florence2-webgpu/README.md
deleted file mode 100644
index f768e33fc..000000000
--- a/examples/florence2-webgpu/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# React + Vite
-
-This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
-
-Currently, two official plugins are available:
-
-- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.io/) for Fast Refresh
-- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
diff --git a/examples/florence2-webgpu/index.html b/examples/florence2-webgpu/index.html
deleted file mode 100644
index 77f8f0a0c..000000000
--- a/examples/florence2-webgpu/index.html
+++ /dev/null
@@ -1,12 +0,0 @@
-
-
-
-
-
- Transformers.js
-Run 🤗 Transformers in a Browser Extension!
- - -
-
- {status === 'loading' && (
-
)
- : (
-
- )}
-
-
- {loadingMessage}
- {progressItems.map(({ file, progress, total }, i) => ( - - ))} -
-
-
-
-
-
- Florence2 WebGPU
-Powerful vision foundation model running locally in your browser.
-
-
-
-
- You are about to download Florence-2-base-ft,
- a 230 million parameter vision foundation model that uses a prompt-based approach to handle a wide range of vision and vision-language tasks like captioning, object detection, and segmentation.
- Once loaded, the model (340 MB) will be cached and reused when you revisit the page.
-
- Everything runs locally in your browser using 🤗 Transformers.js and ONNX Runtime Web,
- meaning no API calls are made to a server for inference. You can even disconnect from the internet after the model has loaded!
-
-
-
-
-
-
-
- Task
-
-
-
- Input Image
- {
- worker.current.postMessage({ type: 'reset' }); // Reset image cache
- setResult(null);
- setImage(result);
- }} />
-
-
- {
- task === ''
- && (
-
- Text input
- setText(e.target.value)}
- />
-
)
- }
-
-
- Output
-
-
- {result?.[task] && (<>
- {
- typeof result[task] === 'string'
- ?
-
- {result[task]}
- :
- {JSON.stringify(result[task], null, 2)}
-
- }
- {
- time && Execution time: {time.toFixed(2)} ms
- } - ) - } -WebGPU is not supported
by this browser :(
)
- )
-}
-
-export default App
diff --git a/examples/florence2-webgpu/src/components/ImageInput.jsx b/examples/florence2-webgpu/src/components/ImageInput.jsx
deleted file mode 100644
index 9f24d9d5b..000000000
--- a/examples/florence2-webgpu/src/components/ImageInput.jsx
+++ /dev/null
@@ -1,68 +0,0 @@
-import { useState, useRef } from 'react';
-
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/beetle.png';
-
-const ImageInput = ({ onImageChange, ...props }) => {
- const [imagePreview, setImagePreview] = useState(null);
- const fileInputRef = useRef(null);
-
- const readFile = (file) => {
- if (!file) return;
- const reader = new FileReader();
- reader.onloadend = () => {
- setImagePreview(reader.result);
- if (onImageChange) {
- onImageChange(file, reader.result);
- }
- };
- reader.readAsDataURL(file);
- }
-
- const handleImageChange = (event) => {
- readFile(event.target.files[0]);
- };
-
- const handleDragOver = (event) => {
- event.preventDefault();
- };
-
- const handleDrop = (event) => {
- event.preventDefault();
- readFile(event.dataTransfer.files[0]);
- };
-
- const handleClick = () => {
- fileInputRef.current.click();
- };
-
- return (
- by this browser :(
-
- {imagePreview ? (
- 
- ) : (
-
- );
-};
-
-export default ImageInput;
diff --git a/examples/florence2-webgpu/src/components/Progress.jsx b/examples/florence2-webgpu/src/components/Progress.jsx
deleted file mode 100644
index 9ce024cc8..000000000
--- a/examples/florence2-webgpu/src/components/Progress.jsx
+++ /dev/null
@@ -1,15 +0,0 @@
-function formatBytes(size) {
- const i = size == 0 ? 0 : Math.floor(Math.log(size) / Math.log(1024));
- return +((size / Math.pow(1024, i)).toFixed(2)) * 1 + ['B', 'kB', 'MB', 'GB', 'TB'][i];
-}
-
-export default function Progress({ text, percentage, total }) {
- percentage ??= 0;
- return (
-
- Drag & drop or click
to select an image - { - e.stopPropagation(); - setImagePreview(EXAMPLE_URL); - onImageChange(null, EXAMPLE_URL); - }}>(or try an example) -
- )}
- to select an image - { - e.stopPropagation(); - setImagePreview(EXAMPLE_URL); - onImageChange(null, EXAMPLE_URL); - }}>(or try an example) -
-
- );
-}
diff --git a/examples/florence2-webgpu/src/index.css b/examples/florence2-webgpu/src/index.css
deleted file mode 100644
index c4a1285e0..000000000
--- a/examples/florence2-webgpu/src/index.css
+++ /dev/null
@@ -1,21 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer utilities {
- .scrollbar-thin::-webkit-scrollbar {
- @apply w-2;
- }
-
- .scrollbar-thin::-webkit-scrollbar-track {
- @apply rounded-full bg-gray-100 dark:bg-gray-700;
- }
-
- .scrollbar-thin::-webkit-scrollbar-thumb {
- @apply rounded-full bg-gray-300 dark:bg-gray-600;
- }
-
- .scrollbar-thin::-webkit-scrollbar-thumb:hover {
- @apply bg-gray-500;
- }
-}
diff --git a/examples/florence2-webgpu/src/main.jsx b/examples/florence2-webgpu/src/main.jsx
deleted file mode 100644
index 54b39dd1d..000000000
--- a/examples/florence2-webgpu/src/main.jsx
+++ /dev/null
@@ -1,10 +0,0 @@
-import React from 'react'
-import ReactDOM from 'react-dom/client'
-import App from './App.jsx'
-import './index.css'
-
-ReactDOM.createRoot(document.getElementById('root')).render(
-
- {text} ({percentage.toFixed(2)}%{isNaN(total) ? '' : ` of ${formatBytes(total)}`})
-
-
-
- );
-};
-
-export default App;
diff --git a/examples/musicgen-web/src/index.css b/examples/musicgen-web/src/index.css
deleted file mode 100644
index bd6213e1d..000000000
--- a/examples/musicgen-web/src/index.css
+++ /dev/null
@@ -1,3 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
\ No newline at end of file
diff --git a/examples/musicgen-web/src/main.jsx b/examples/musicgen-web/src/main.jsx
deleted file mode 100644
index 54b39dd1d..000000000
--- a/examples/musicgen-web/src/main.jsx
+++ /dev/null
@@ -1,10 +0,0 @@
-import React from 'react'
-import ReactDOM from 'react-dom/client'
-import App from './App.jsx'
-import './index.css'
-
-ReactDOM.createRoot(document.getElementById('root')).render(
- MusicGen Web
-In-browser text-to-music w/ 🤗 Transformers.js! -
- - {/* Text input for user */} - setTextInput(e.target.value)} - className="border border-gray-300 p-2 mb-4 w-full rounded" - /> - - {/* Example buttons */} -
- {EXAMPLES.map((example, i) => (
-
- ))}
-
-
- {/* Generation parameters */}
-
- {/* Duration */}
-
-
- {/* Button to generate music */}
-
-
- {/* Progress bar */}
-
-
- setDuration(e.target.value)} />
-
-
- {/* Guidance Scale */}
- {`${duration} second${duration > 1 ? 's' : ''}`}
-
-
- setGuidanceScale(e.target.value)} />
-
-
- {/* Temperature */}
- {guidance_scale}
-
-
- setTemperature(e.target.value)} />
-
- {temperature}
-
-
-
- {/* Audio player */}
- {
-
-
- {statusText}
-
-
- {SHARING_ENABLED && result &&
-
- }
-
}
- Background Removal w/ 🤗 Transformers.js -
-Runs locally in your browser, powered by the RMBG V1.4 model from BRIA AI -
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/remove-background-client/main.js b/examples/remove-background-client/main.js
deleted file mode 100644
index 31eb7080e..000000000
--- a/examples/remove-background-client/main.js
+++ /dev/null
@@ -1,112 +0,0 @@
-import './style.css';
-
-import { AutoModel, AutoProcessor, env, RawImage } from '@xenova/transformers';
-
-// Since we will download the model from the Hugging Face Hub, we can skip the local model check
-env.allowLocalModels = false;
-
-// Proxy the WASM backend to prevent the UI from freezing
-env.backends.onnx.wasm.proxy = true;
-
-// Constants
-const EXAMPLE_URL = 'https://images.pexels.com/photos/5965592/pexels-photo-5965592.jpeg?auto=compress&cs=tinysrgb&w=1024';
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const fileUpload = document.getElementById('upload');
-const imageContainer = document.getElementById('container');
-const example = document.getElementById('example');
-
-// Load model and processor
-status.textContent = 'Loading model...';
-
-const model = await AutoModel.from_pretrained('briaai/RMBG-1.4', {
- // Do not require config.json to be present in the repository
- config: { model_type: 'custom' },
-});
-
-const processor = await AutoProcessor.from_pretrained('briaai/RMBG-1.4', {
- // Do not require config.json to be present in the repository
- config: {
- do_normalize: true,
- do_pad: false,
- do_rescale: true,
- do_resize: true,
- image_mean: [0.5, 0.5, 0.5],
- feature_extractor_type: "ImageFeatureExtractor",
- image_std: [1, 1, 1],
- resample: 2,
- rescale_factor: 0.00392156862745098,
- size: { width: 1024, height: 1024 },
- }
-});
-
-status.textContent = 'Ready';
-
-example.addEventListener('click', (e) => {
- e.preventDefault();
- predict(EXAMPLE_URL);
-});
-
-fileUpload.addEventListener('change', function (e) {
- const file = e.target.files[0];
- if (!file) {
- return;
- }
-
- const reader = new FileReader();
-
- // Set up a callback when the file is loaded
- reader.onload = e2 => predict(e2.target.result);
-
- reader.readAsDataURL(file);
-});
-
-// Predict foreground of the given image
-async function predict(url) {
- // Read image
- const image = await RawImage.fromURL(url);
-
- // Update UI
- imageContainer.innerHTML = '';
- imageContainer.style.backgroundImage = `url(${url})`;
-
- // Set container width and height depending on the image aspect ratio
- const ar = image.width / image.height;
- const [cw, ch] = (ar > 720 / 480) ? [720, 720 / ar] : [480 * ar, 480];
- imageContainer.style.width = `${cw}px`;
- imageContainer.style.height = `${ch}px`;
-
- status.textContent = 'Analysing...';
-
- // Preprocess image
- const { pixel_values } = await processor(image);
-
- // Predict alpha matte
- const { output } = await model({ input: pixel_values });
-
- // Resize mask back to original size
- const mask = await RawImage.fromTensor(output[0].mul(255).to('uint8')).resize(image.width, image.height);
-
- // Create new canvas
- const canvas = document.createElement('canvas');
- canvas.width = image.width;
- canvas.height = image.height;
- const ctx = canvas.getContext('2d');
-
- // Draw original image output to canvas
- ctx.drawImage(image.toCanvas(), 0, 0);
-
- // Update alpha channel
- const pixelData = ctx.getImageData(0, 0, image.width, image.height);
- for (let i = 0; i < mask.data.length; ++i) {
- pixelData.data[4 * i + 3] = mask.data[i];
- }
- ctx.putImageData(pixelData, 0, 0);
-
- // Update UI
- imageContainer.append(canvas);
- imageContainer.style.removeProperty('background-image');
- imageContainer.style.background = `url("data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQBAMAAADt3eJSAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAGUExURb+/v////5nD/3QAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAAUSURBVBjTYwABQSCglEENMxgYGAAynwRB8BEAgQAAAABJRU5ErkJggg==")`;
- status.textContent = 'Done!';
-}
diff --git a/examples/remove-background-client/package-lock.json b/examples/remove-background-client/package-lock.json
deleted file mode 100644
index 95fc5ed41..000000000
--- a/examples/remove-background-client/package-lock.json
+++ /dev/null
@@ -1,1466 +0,0 @@
-{
- "name": "remove-background-client",
- "version": "0.0.0",
- "lockfileVersion": 3,
- "requires": true,
- "packages": {
- "": {
- "name": "remove-background-client",
- "version": "0.0.0",
- "dependencies": {
- "@xenova/transformers": "^2.15.0"
- },
- "devDependencies": {
- "vite": "^5.0.13"
- }
- },
- "node_modules/@esbuild/aix-ppc64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/aix-ppc64/-/aix-ppc64-0.19.12.tgz",
- "integrity": "sha512-bmoCYyWdEL3wDQIVbcyzRyeKLgk2WtWLTWz1ZIAZF/EGbNOwSA6ew3PftJ1PqMiOOGu0OyFMzG53L0zqIpPeNA==",
- "cpu": [
- "ppc64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "aix"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/android-arm": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm/-/android-arm-0.19.12.tgz",
- "integrity": "sha512-qg/Lj1mu3CdQlDEEiWrlC4eaPZ1KztwGJ9B6J+/6G+/4ewxJg7gqj8eVYWvao1bXrqGiW2rsBZFSX3q2lcW05w==",
- "cpu": [
- "arm"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/android-arm64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/android-arm64/-/android-arm64-0.19.12.tgz",
- "integrity": "sha512-P0UVNGIienjZv3f5zq0DP3Nt2IE/3plFzuaS96vihvD0Hd6H/q4WXUGpCxD/E8YrSXfNyRPbpTq+T8ZQioSuPA==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/android-x64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/android-x64/-/android-x64-0.19.12.tgz",
- "integrity": "sha512-3k7ZoUW6Q6YqhdhIaq/WZ7HwBpnFBlW905Fa4s4qWJyiNOgT1dOqDiVAQFwBH7gBRZr17gLrlFCRzF6jFh7Kew==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "android"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/darwin-arm64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-arm64/-/darwin-arm64-0.19.12.tgz",
- "integrity": "sha512-B6IeSgZgtEzGC42jsI+YYu9Z3HKRxp8ZT3cqhvliEHovq8HSX2YX8lNocDn79gCKJXOSaEot9MVYky7AKjCs8g==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/darwin-x64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/darwin-x64/-/darwin-x64-0.19.12.tgz",
- "integrity": "sha512-hKoVkKzFiToTgn+41qGhsUJXFlIjxI/jSYeZf3ugemDYZldIXIxhvwN6erJGlX4t5h417iFuheZ7l+YVn05N3A==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "darwin"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/freebsd-arm64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-arm64/-/freebsd-arm64-0.19.12.tgz",
- "integrity": "sha512-4aRvFIXmwAcDBw9AueDQ2YnGmz5L6obe5kmPT8Vd+/+x/JMVKCgdcRwH6APrbpNXsPz+K653Qg8HB/oXvXVukA==",
- "cpu": [
- "arm64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/freebsd-x64": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/freebsd-x64/-/freebsd-x64-0.19.12.tgz",
- "integrity": "sha512-EYoXZ4d8xtBoVN7CEwWY2IN4ho76xjYXqSXMNccFSx2lgqOG/1TBPW0yPx1bJZk94qu3tX0fycJeeQsKovA8gg==",
- "cpu": [
- "x64"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "freebsd"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-arm": {
- "version": "0.19.12",
- "resolved": "https://registry.npmjs.org/@esbuild/linux-arm/-/linux-arm-0.19.12.tgz",
- "integrity": "sha512-J5jPms//KhSNv+LO1S1TX1UWp1ucM6N6XuL6ITdKWElCu8wXP72l9MM0zDTzzeikVyqFE6U8YAV9/tFyj0ti+w==",
- "cpu": [
- "arm"
- ],
- "dev": true,
- "optional": true,
- "os": [
- "linux"
- ],
- "engines": {
- "node": ">=12"
- }
- },
- "node_modules/@esbuild/linux-arm64": {
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diff --git a/examples/remove-background-client/package.json b/examples/remove-background-client/package.json
deleted file mode 100644
index b5669082d..000000000
--- a/examples/remove-background-client/package.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
- "name": "remove-background-client",
- "private": true,
- "version": "0.0.0",
- "type": "module",
- "scripts": {
- "dev": "vite",
- "build": "vite build",
- "preview": "vite preview"
- },
- "devDependencies": {
- "vite": "^5.0.13"
- },
- "dependencies": {
- "@xenova/transformers": "^2.15.0"
- }
-}
diff --git a/examples/remove-background-client/style.css b/examples/remove-background-client/style.css
deleted file mode 100644
index f3016c246..000000000
--- a/examples/remove-background-client/style.css
+++ /dev/null
@@ -1,83 +0,0 @@
-* {
- box-sizing: border-box;
- padding: 0;
- margin: 0;
- font-family: sans-serif;
-}
-
-html,
-body {
- height: 100%;
-}
-
-body {
- padding: 16px 32px;
-}
-
-body,
-#container,
-#upload-button {
- display: flex;
- flex-direction: column;
- justify-content: center;
- align-items: center;
-}
-
-h1,
-h4 {
- text-align: center;
-}
-
-h4 {
- margin-top: 0.5rem;
-}
-
-#container {
- position: relative;
- width: 720px;
- height: 480px;
- max-width: 100%;
- max-height: 100%;
- border: 2px dashed #D1D5DB;
- border-radius: 0.75rem;
- overflow: hidden;
- margin-top: 1rem;
- background-size: 100% 100%;
- background-position: center;
- background-repeat: no-repeat;
-}
-
-#upload-button {
- gap: 0.4rem;
- font-size: 18px;
- cursor: pointer;
-}
-
-#upload {
- display: none;
-}
-
-svg {
- pointer-events: none;
-}
-
-#example {
- font-size: 14px;
- text-decoration: underline;
- cursor: pointer;
-}
-
-#example:hover {
- color: #2563EB;
-}
-
-canvas {
- position: absolute;
- width: 100%;
- height: 100%;
-}
-
-#status {
- min-height: 16px;
- margin: 8px 0;
-}
\ No newline at end of file
diff --git a/examples/remove-background-client/vite.config.js b/examples/remove-background-client/vite.config.js
deleted file mode 100644
index 6c32f52df..000000000
--- a/examples/remove-background-client/vite.config.js
+++ /dev/null
@@ -1,6 +0,0 @@
-import { defineConfig } from 'vite';
-export default defineConfig({
- build: {
- target: 'esnext'
- }
-});
diff --git a/examples/segment-anything-client/.gitignore b/examples/segment-anything-client/.gitignore
deleted file mode 100644
index 1521c8b76..000000000
--- a/examples/segment-anything-client/.gitignore
+++ /dev/null
@@ -1 +0,0 @@
-dist
diff --git a/examples/segment-anything-client/index.css b/examples/segment-anything-client/index.css
deleted file mode 100644
index fc556bcac..000000000
--- a/examples/segment-anything-client/index.css
+++ /dev/null
@@ -1,116 +0,0 @@
-* {
- box-sizing: border-box;
- padding: 0;
- margin: 0;
- font-family: sans-serif;
-}
-
-html,
-body {
- height: 100%;
-}
-
-body {
- padding: 16px 32px;
-}
-
-body,
-#container,
-#upload-button {
- display: flex;
- flex-direction: column;
- justify-content: center;
- align-items: center;
-}
-
-h1, h3 {
- text-align: center;
-}
-
-#container {
- position: relative;
- width: 640px;
- height: 420px;
- max-width: 100%;
- max-height: 100%;
- border: 2px dashed #D1D5DB;
- border-radius: 0.75rem;
- overflow: hidden;
- cursor: pointer;
- margin-top: 1rem;
- background-size: 100% 100%;
- background-position: center;
- background-repeat: no-repeat;
-}
-
-#mask-output {
- position: absolute;
- width: 100%;
- height: 100%;
- pointer-events: none;
-}
-
-#upload-button {
- gap: 0.4rem;
- font-size: 18px;
- cursor: pointer;
-}
-
-#upload {
- display: none;
-}
-
-svg {
- pointer-events: none;
-}
-
-#example {
- font-size: 14px;
- text-decoration: underline;
- cursor: pointer;
-}
-
-#example:hover {
- color: #2563EB;
-}
-
-canvas {
- position: absolute;
- width: 100%;
- height: 100%;
- opacity: 0.6;
-}
-
-#status {
- min-height: 16px;
- margin: 8px 0;
-}
-
-.icon {
- height: 16px;
- width: 16px;
- position: absolute;
- transform: translate(-50%, -50%);
-}
-
-#controls>button {
- padding: 6px 12px;
- background-color: #3498db;
- color: white;
- border: 1px solid #2980b9;
- border-radius: 5px;
- cursor: pointer;
- font-size: 16px;
-}
-
-#controls>button:disabled {
- background-color: #d1d5db;
- color: #6b7280;
- border: 1px solid #9ca3af;
- cursor: not-allowed;
-}
-
-#information {
- margin-top: 0.25rem;
- font-size: 15px;
-}
\ No newline at end of file
diff --git a/examples/segment-anything-client/index.html b/examples/segment-anything-client/index.html
deleted file mode 100644
index 9dba925fe..000000000
--- a/examples/segment-anything-client/index.html
+++ /dev/null
@@ -1,42 +0,0 @@
-
-
-
-
-
-
-
-
- Segment Anything WebGPU
-In-browser image segmentation w/ 🤗 - Transformers.js
-
-
-
-
-
-
-
-
-
-
- - Left click = positive points, right click = negative points. -
- - - - - - \ No newline at end of file diff --git a/examples/segment-anything-client/index.js b/examples/segment-anything-client/index.js deleted file mode 100644 index 979db0582..000000000 --- a/examples/segment-anything-client/index.js +++ /dev/null @@ -1,296 +0,0 @@ - -// Reference the elements we will use -const statusLabel = document.getElementById('status'); -const fileUpload = document.getElementById('upload'); -const imageContainer = document.getElementById('container'); -const example = document.getElementById('example'); -const maskCanvas = document.getElementById('mask-output'); -const uploadButton = document.getElementById('upload-button'); -const resetButton = document.getElementById('reset-image'); -const clearButton = document.getElementById('clear-points'); -const cutButton = document.getElementById('cut-mask'); - -// State variables -let lastPoints = null; -let isEncoded = false; -let isDecoding = false; -let isMultiMaskMode = false; -let modelReady = false; -let imageDataURI = null; - -// Constants -const BASE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/'; -const EXAMPLE_URL = BASE_URL + 'corgi.jpg'; - -// Create a web worker so that the main (UI) thread is not blocked during inference. -const worker = new Worker( - new URL('./worker.js', import.meta.url), - { type: 'module' } -); - -// Preload star and cross images to avoid lag on first click -const star = new Image(); -star.src = BASE_URL + 'star-icon.png'; -star.className = 'icon'; - -const cross = new Image(); -cross.src = BASE_URL + 'cross-icon.png'; -cross.className = 'icon'; - -// Set up message handler -worker.addEventListener('message', (e) => { - const { type, data } = e.data; - if (type === 'ready') { - modelReady = true; - statusLabel.textContent = 'Ready'; - - } else if (type === 'decode_result') { - isDecoding = false; - - if (!isEncoded) { - return; // We are not ready to decode yet - } - - if (!isMultiMaskMode && lastPoints) { - // Perform decoding with the last point - decode(); - lastPoints = null; - } - - const { mask, scores } = data; - - // Update canvas dimensions (if different) - if (maskCanvas.width !== mask.width || maskCanvas.height !== mask.height) { - maskCanvas.width = mask.width; - maskCanvas.height = mask.height; - } - - // Create context and allocate buffer for pixel data - const context = maskCanvas.getContext('2d'); - const imageData = context.createImageData(maskCanvas.width, maskCanvas.height); - - // Select best mask - const numMasks = scores.length; // 3 - let bestIndex = 0; - for (let i = 1; i < numMasks; ++i) { - if (scores[i] > scores[bestIndex]) { - bestIndex = i; - } - } - statusLabel.textContent = `Segment score: ${scores[bestIndex].toFixed(2)}`; - - // Fill mask with colour - const pixelData = imageData.data; - for (let i = 0; i < pixelData.length; ++i) { - if (mask.data[numMasks * i + bestIndex] === 1) { - const offset = 4 * i; - pixelData[offset] = 0; // red - pixelData[offset + 1] = 114; // green - pixelData[offset + 2] = 189; // blue - pixelData[offset + 3] = 255; // alpha - } - } - - // Draw image data to context - context.putImageData(imageData, 0, 0); - - } else if (type === 'segment_result') { - if (data === 'start') { - statusLabel.textContent = 'Extracting image embedding...'; - } else { - statusLabel.textContent = 'Embedding extracted!'; - isEncoded = true; - } - } -}); - -function decode() { - isDecoding = true; - worker.postMessage({ type: 'decode', data: lastPoints }); -} - -function clearPointsAndMask() { - // Reset state - isMultiMaskMode = false; - lastPoints = null; - - // Remove points from previous mask (if any) - document.querySelectorAll('.icon').forEach(e => e.remove()); - - // Disable cut button - cutButton.disabled = true; - - // Reset mask canvas - maskCanvas.getContext('2d').clearRect(0, 0, maskCanvas.width, maskCanvas.height); -} -clearButton.addEventListener('click', clearPointsAndMask); - -resetButton.addEventListener('click', () => { - // Update state - isEncoded = false; - imageDataURI = null; - - // Indicate to worker that we have reset the state - worker.postMessage({ type: 'reset' }); - - // Clear points and mask (if present) - clearPointsAndMask(); - - // Update UI - cutButton.disabled = true; - imageContainer.style.backgroundImage = 'none'; - uploadButton.style.display = 'flex'; - statusLabel.textContent = 'Ready'; -}); - -function segment(data) { - // Update state - isEncoded = false; - if (!modelReady) { - statusLabel.textContent = 'Loading model...'; - } - imageDataURI = data; - - // Update UI - imageContainer.style.backgroundImage = `url(${data})`; - uploadButton.style.display = 'none'; - cutButton.disabled = true; - - // Instruct worker to segment the image - worker.postMessage({ type: 'segment', data }); -} - -// Handle file selection -fileUpload.addEventListener('change', function (e) { - const file = e.target.files[0]; - if (!file) { - return; - } - - const reader = new FileReader(); - - // Set up a callback when the file is loaded - reader.onload = e2 => segment(e2.target.result); - - reader.readAsDataURL(file); -}); - -example.addEventListener('click', (e) => { - e.preventDefault(); - segment(EXAMPLE_URL); -}); - -function addIcon({ point, label }) { - const icon = (label === 1 ? star : cross).cloneNode(); - icon.style.left = `${point[0] * 100}%`; - icon.style.top = `${point[1] * 100}%`; - imageContainer.appendChild(icon); -} - -// Attach hover event to image container -imageContainer.addEventListener('mousedown', e => { - if (e.button !== 0 && e.button !== 2) { - return; // Ignore other buttons - } - if (!isEncoded) { - return; // Ignore if not encoded yet - } - if (!isMultiMaskMode) { - lastPoints = []; - isMultiMaskMode = true; - cutButton.disabled = false; - } - - const point = getPoint(e); - lastPoints.push(point); - - // add icon - addIcon(point); - - decode(); -}); - - -// Clamp a value inside a range [min, max] -function clamp(x, min = 0, max = 1) { - return Math.max(Math.min(x, max), min) -} - -function getPoint(e) { - // Get bounding box - const bb = imageContainer.getBoundingClientRect(); - - // Get the mouse coordinates relative to the container - const mouseX = clamp((e.clientX - bb.left) / bb.width); - const mouseY = clamp((e.clientY - bb.top) / bb.height); - - return { - point: [mouseX, mouseY], - label: e.button === 2 // right click - ? 0 // negative prompt - : 1, // positive prompt - } -} - -// Do not show context menu on right click -imageContainer.addEventListener('contextmenu', e => { - e.preventDefault(); -}); - -// Attach hover event to image container -imageContainer.addEventListener('mousemove', e => { - if (!isEncoded || isMultiMaskMode) { - // Ignore mousemove events if the image is not encoded yet, - // or we are in multi-mask mode - return; - } - lastPoints = [getPoint(e)]; - - if (!isDecoding) { - decode(); // Only decode if we are not already decoding - } -}); - -// Handle cut button click -cutButton.addEventListener('click', () => { - const [w, h] = [maskCanvas.width, maskCanvas.height]; - - // Get the mask pixel data - const maskContext = maskCanvas.getContext('2d'); - const maskPixelData = maskContext.getImageData(0, 0, w, h); - - // Load the image - const image = new Image(); - image.crossOrigin = 'anonymous'; - image.onload = async () => { - // Create a new canvas to hold the image - const imageCanvas = new OffscreenCanvas(w, h); - const imageContext = imageCanvas.getContext('2d'); - imageContext.drawImage(image, 0, 0, w, h); - const imagePixelData = imageContext.getImageData(0, 0, w, h); - - // Create a new canvas to hold the cut-out - const cutCanvas = new OffscreenCanvas(w, h); - const cutContext = cutCanvas.getContext('2d'); - const cutPixelData = cutContext.getImageData(0, 0, w, h); - - // Copy the image pixel data to the cut canvas - for (let i = 3; i < maskPixelData.data.length; i += 4) { - if (maskPixelData.data[i] > 0) { - for (let j = 0; j < 4; ++j) { - const offset = i - j; - cutPixelData.data[offset] = imagePixelData.data[offset]; - } - } - } - cutContext.putImageData(cutPixelData, 0, 0); - - // Download image - const link = document.createElement('a'); - link.download = 'image.png'; - link.href = URL.createObjectURL(await cutCanvas.convertToBlob()); - link.click(); - link.remove(); - } - image.src = imageDataURI; -}); diff --git a/examples/segment-anything-client/package.json b/examples/segment-anything-client/package.json deleted file mode 100644 index aa790ea74..000000000 --- a/examples/segment-anything-client/package.json +++ /dev/null @@ -1,17 +0,0 @@ -{ - "name": "segment-anything-client", - "private": true, - "version": "0.0.0", - "type": "module", - "scripts": { - "dev": "vite", - "build": "vite build", - "preview": "vite preview" - }, - "dependencies": { - "@huggingface/transformers": "^3.0.0-alpha.0" - }, - "devDependencies": { - "vite": "^5.2.9" - } -} diff --git a/examples/segment-anything-client/vite.config.js b/examples/segment-anything-client/vite.config.js deleted file mode 100644 index b2d374d1b..000000000 --- a/examples/segment-anything-client/vite.config.js +++ /dev/null @@ -1,18 +0,0 @@ -import { defineConfig } from 'vite'; -export default defineConfig(env => { - const config = { - build: { - target: 'esnext' - } - }; - - // TODO: Add this back when .wasm files are served locally - // if (env.mode === 'development') { - // // The .wasm files are not correctly served using Vite in development mode. - // // This is a workaround to exclude the onnxruntime-web package from Vite's optimization. - // // See also: https://github.com/vitejs/vite/issues/8427 - // config.optimizeDeps = { exclude: ["onnxruntime-web"] }; - // } - - return config; -}); diff --git a/examples/segment-anything-client/worker.js b/examples/segment-anything-client/worker.js deleted file mode 100644 index bb783e0b5..000000000 --- a/examples/segment-anything-client/worker.js +++ /dev/null @@ -1,101 +0,0 @@ -import { SamModel, AutoProcessor, RawImage, Tensor } from '@huggingface/transformers'; - -// We adopt the singleton pattern to enable lazy-loading of the model and processor. -export class SegmentAnythingSingleton { - static model_id = 'Xenova/slimsam-77-uniform'; - static model; - static processor; - - static getInstance() { - this.model ??= SamModel.from_pretrained(this.model_id, { - dtype: 'fp16', - device: 'webgpu', - }); - this.processor ??= AutoProcessor.from_pretrained(this.model_id); - - return Promise.all([this.model, this.processor]); - } -} - -// State variables -let imageEmbeddings = null; -let imageInputs = null; -let ready = false; - -self.onmessage = async (e) => { - const [model, processor] = await SegmentAnythingSingleton.getInstance(); - if (!ready) { - // Indicate that we are ready to accept requests - ready = true; - self.postMessage({ - type: 'ready', - }); - } - - const { type, data } = e.data; - if (type === 'reset') { - imageInputs = null; - imageEmbeddings = null; - - } else if (type === 'segment') { - // Indicate that we are starting to segment the image - self.postMessage({ - type: 'segment_result', - data: 'start', - }); - - // Read the image and recompute image embeddings - const image = await RawImage.read(e.data.data); - imageInputs = await processor(image); - imageEmbeddings = await model.get_image_embeddings(imageInputs) - - // Indicate that we have computed the image embeddings, and we are ready to accept decoding requests - self.postMessage({ - type: 'segment_result', - data: 'done', - }); - - } else if (type === 'decode') { - // Prepare inputs for decoding - const reshaped = imageInputs.reshaped_input_sizes[0]; - const points = data.map(x => [x.point[0] * reshaped[1], x.point[1] * reshaped[0]]) - const labels = data.map(x => BigInt(x.label)); - - const input_points = new Tensor( - 'float32', - points.flat(Infinity), - [1, 1, points.length, 2], - ) - const input_labels = new Tensor( - 'int64', - labels.flat(Infinity), - [1, 1, labels.length], - ) - - // Generate the mask - const { pred_masks, iou_scores } = await model({ - ...imageEmbeddings, - input_points, - input_labels, - }) - - // Post-process the mask - const masks = await processor.post_process_masks( - pred_masks, - imageInputs.original_sizes, - imageInputs.reshaped_input_sizes, - ); - - // Send the result back to the main thread - self.postMessage({ - type: 'decode_result', - data: { - mask: RawImage.fromTensor(masks[0][0]), - scores: iou_scores.data, - }, - }); - - } else { - throw new Error(`Unknown message type: ${type}`); - } -} diff --git a/examples/semantic-audio-search/.gitignore b/examples/semantic-audio-search/.gitignore deleted file mode 100644 index a547bf36d..000000000 --- a/examples/semantic-audio-search/.gitignore +++ /dev/null @@ -1,24 +0,0 @@ -# Logs -logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* -pnpm-debug.log* -lerna-debug.log* - -node_modules -dist -dist-ssr -*.local - -# Editor directories and files -.vscode/* -!.vscode/extensions.json -.idea -.DS_Store -*.suo -*.ntvs* -*.njsproj -*.sln -*.sw? diff --git a/examples/semantic-audio-search/index.html b/examples/semantic-audio-search/index.html deleted file mode 100644 index b7b1f8af8..000000000 --- a/examples/semantic-audio-search/index.html +++ /dev/null @@ -1,26 +0,0 @@ - - - - - - -
-
-
-
- In-browser Semantic Audio Search
- Powered by 🤗 Transformers.js
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/semantic-audio-search/index.js b/examples/semantic-audio-search/index.js
deleted file mode 100644
index 1d7b047e2..000000000
--- a/examples/semantic-audio-search/index.js
+++ /dev/null
@@ -1,129 +0,0 @@
-
-import Scatterplot from 'deepscatter';
-import { getCachedJSON } from './utils';
-
-// Start loading metadata and positions asynchronously as soon as possible.
-let metadata = {};
-getCachedJSON('https://huggingface.co/datasets/Xenova/MusicBenchEmbedded/resolve/main/metadata.json')
- .then((data) => {
- metadata = data;
- })
- .catch((e) => console.error(e));
-
-let positions = {};
-getCachedJSON('https://huggingface.co/datasets/Xenova/MusicBenchEmbedded/resolve/main/positions.json')
- .then((data) => {
- positions = data;
- })
- .catch((e) => console.error(e));
-
-const scatterplot = new Scatterplot('#deepscatter');
-window.scatterplot = scatterplot; // For debugging
-
-// Initial call
-scatterplot.plotAPI({
- source_url: 'https://huggingface.co/datasets/Xenova/MusicBenchEmbedded/resolve/main/atlas',
- max_points: 52768, // a full cap.
- alpha: 35, // Target saturation for the full page.
- zoom_balance: 0.5, // Rate at which points increase size. https://observablehq.com/@bmschmidt/zoom-strategies-for-huge-scatterplots-with-three-js
- point_size: 3, // Default point size before application of size scaling
- background_color: 'transparent',
- encoding: {
- // TODO Add colours
- x: {
- field: 'x',
- transform: 'literal',
- },
- y: {
- field: 'y',
- transform: 'literal',
- },
- jitter_radius: {
- method: 'uniform',
- constant: 5,
- },
- },
- tooltip_opacity: 1,
- duration: 4000, // For slow initial transition
-}).then(_ => scatterplot.plotAPI({
- encoding: {
- jitter_radius: {
- method: 'uniform',
- constant: 0,
- },
- },
-}));
-
-// Custom hover function
-scatterplot.tooltip_html = (datum) => {
- const item = metadata[datum.ix];
- if (!item) return 'Loading...';
- const location = item.location;
-
- setTimeout(() => {
- // Slight hack to append the audio element after the text
- const tooltip = document.querySelector('.tooltip');
- if (tooltip) {
- tooltip.innerHTML = `
- ${item.main_caption}
- - - `; - } - }, 0); - return item.main_caption; -}; - -// Make references to DOM elements -const OVERLAY = document.getElementById('overlay'); -const INPUT_ELEMENT = document.getElementById('query'); -const SEARCH_BUTTON = document.getElementById('search'); - -// Set up worker -const worker = new Worker(new URL('./worker.js', import.meta.url), { - type: 'module' -}); -worker.addEventListener('message', (e) => { - switch (e.data.status) { - case 'initiate': - OVERLAY.innerText = 'Loading model and embeddings database...'; - OVERLAY.style.display = 'flex'; - OVERLAY.style.pointerEvents = 'all'; - break; - case 'ready': - OVERLAY.style.display = 'none'; - OVERLAY.style.pointerEvents = 'none'; - break; - case 'complete': - // Output is an array of [score, index] pairs. Get top item - const index = e.data.output[0][1]; - const position = positions[index]; - - if (position) { // Just in case the position hasn't loaded yet (this should never happen) - // Zoom to result - scatterplot.plotAPI({ - zoom: { - bbox: { - x: [position[0] - 0.5, position[0] + 0.5], - y: [position[1] - 0.5, position[1] + 0.5] - } - }, - duration: 2000, - }) - } - break; - } -}); - -const search = () => { - worker.postMessage({ - status: 'search', - query: INPUT_ELEMENT.value, - }); -}; - -// Set up event listeners -INPUT_ELEMENT.addEventListener('keypress', (event) => { - if (event.keyCode === 13) search(); -}); -SEARCH_BUTTON.addEventListener('click', search); diff --git a/examples/semantic-audio-search/package-lock.json b/examples/semantic-audio-search/package-lock.json deleted file mode 100644 index 864183715..000000000 --- a/examples/semantic-audio-search/package-lock.json +++ /dev/null @@ -1,2119 +0,0 @@ -{ - "name": "semantic-audio-search", - "version": "0.0.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "semantic-audio-search", - "version": "0.0.0", - "dependencies": { - "@xenova/transformers": "^2.10.1", - "deepscatter": "github:nomic-ai/deepscatter" - }, - "devDependencies": { - "vite": "^5.0.13" - } - }, - "node_modules/@75lb/deep-merge": { - "version": "1.1.1", - "resolved": "https://registry.npmjs.org/@75lb/deep-merge/-/deep-merge-1.1.1.tgz", - "integrity": "sha512-xvgv6pkMGBA6GwdyJbNAnDmfAIR/DfWhrj9jgWh3TY7gRm3KO46x/GPjRg6wJ0nOepwqrNxFfojebh0Df4h4Tw==", - "peer": true, - "dependencies": { - "lodash.assignwith": "^4.2.0", - "typical": "^7.1.1" - }, - "engines": { - "node": ">=12.17" - } - }, - "node_modules/@75lb/deep-merge/node_modules/typical": { - "version": "7.1.1", - "resolved": "https://registry.npmjs.org/typical/-/typical-7.1.1.tgz", - "integrity": "sha512-T+tKVNs6Wu7IWiAce5BgMd7OZfNYUndHwc5MknN+UHOudi7sGZzuHdCadllRuqJ3fPtgFtIH9+lt9qRv6lmpfA==", - "peer": true, - "engines": { - "node": ">=12.17" - } - }, - "node_modules/@esbuild/android-arm": { - 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"name": "semantic-audio-search", - "private": true, - "version": "0.0.0", - "type": "module", - "scripts": { - "dev": "vite", - "build": "vite build", - "preview": "vite preview" - }, - "devDependencies": { - "vite": "^5.0.13" - }, - "dependencies": { - "@xenova/transformers": "^2.10.1", - "deepscatter": "github:nomic-ai/deepscatter" - } -} diff --git a/examples/semantic-audio-search/style.css b/examples/semantic-audio-search/style.css deleted file mode 100644 index 7d6686332..000000000 --- a/examples/semantic-audio-search/style.css +++ /dev/null @@ -1,109 +0,0 @@ -@import url('https://fonts.googleapis.com/css2?family=Montserrat&display=swap'); - -* { - box-sizing: border-box; - padding: 0; - margin: 0; - font-family: 'Montserrat', sans-serif; -} - -html { - background: radial-gradient(ellipse at center, #1b2735 0%, #090a0f 100%); - height: 100%; - width: 100%; -} - -body { - overflow: hidden; - display: flex; - justify-content: center; -} - -#deepscatter { - position: absolute; - left: 0; - top: 0; -} - -#container-for-webgl-canvas { - width: 100vw; - display: flex; - justify-content: center; -} - -.tooltip { - width: 400px; - margin-top: -10px; -} - -.tooltip>audio { - margin-top: 10px; - width: 100%; -} - -#search { - background: url('https://upload.wikimedia.org/wikipedia/commons/0/0b/Search_Icon.svg') no-repeat center right; - background-size: 50px 50px; - width: 56px; - border: none; - cursor: pointer; -} - -#header { - padding: 20px 0 50px 0; - color: white; - text-align: center; - background: linear-gradient(to bottom, rgba(0, 0, 0, 1), rgba(0, 0, 0, 0)); - width: 100vw; -} - -#title { - font-size: 30px; - font-weight: 600; -} - -#header, -#search-bar { - position: absolute; - justify-content: center; - z-index: 1; -} - -#search-bar { - padding: 0 20px; - max-width: 90vw; - overflow: hidden; - border-radius: 20px 20px 0px 0px; - bottom: 0; - height: 60px; - width: 500px; - background-color: white; - display: flex; -} - -#overlay { - position: absolute; - width: 100vw; - height: 100vh; - z-index: 999999999; - background-color: rgba(0, 0, 0, 0.8); - pointer-events: none; - display: none; - - color: white; - justify-content: center; - align-items: center; - font-size: 20px; -} - -#query { - width: 100%; - height: 100%; - font-size: 1.5em; - border: none; - outline: none; -} - -a { - color: white; -} \ No newline at end of file diff --git a/examples/semantic-audio-search/utils.js b/examples/semantic-audio-search/utils.js deleted file mode 100644 index 1aa6729c9..000000000 --- a/examples/semantic-audio-search/utils.js +++ /dev/null @@ -1,40 +0,0 @@ - -// Adapted from https://github.com/xenova/transformers.js/blob/c367f9d68b809bbbf81049c808bf6d219d761d23/src/utils/hub.js#L330 -export async function getCachedFile(url) { - let cache; - try { - cache = await caches.open('semantic-audio-search'); - const cachedResponse = await cache.match(url); - if (cachedResponse) { - return await cachedResponse.arrayBuffer(); - } - } catch (e) { - console.warn('Unable to open cache', e); - } - - // No cache, or cache failed to open. Fetch the file. - const response = await fetch(url); - const buffer = await response.arrayBuffer(); - - if (cache) { - try { - // NOTE: We use `new Response(buffer, ...)` instead of `response.clone()` to handle LFS files - await cache.put(url, new Response(buffer, { - headers: response.headers, - })); - } catch (e) { - console.warn('Unable to cache file', e); - } - } - - return buffer; -} - -export async function getCachedJSON(url) { - let buffer = await getCachedFile(url); - - let decoder = new TextDecoder('utf-8'); - let jsonData = decoder.decode(buffer); - - return JSON.parse(jsonData); -} diff --git a/examples/semantic-audio-search/worker.js b/examples/semantic-audio-search/worker.js deleted file mode 100644 index f095f8104..000000000 --- a/examples/semantic-audio-search/worker.js +++ /dev/null @@ -1,94 +0,0 @@ - -import { env, AutoTokenizer, ClapTextModelWithProjection } from '@xenova/transformers'; -import { getCachedFile } from './utils'; - -// Skip local model check -env.allowLocalModels = false; - -class ApplicationSingleton { - static model_id = 'Xenova/larger_clap_music_and_speech'; - static BASE_URL = 'https://huggingface.co/datasets/Xenova/MusicBenchEmbedded/resolve/main/'; - - static tokenizer = null; - static text_model = null; - static embeddings = null; - - static async getInstance(progress_callback = null) { - this.tokenizer ??= AutoTokenizer.from_pretrained(this.model_id, { progress_callback }); - this.text_model ??= ClapTextModelWithProjection.from_pretrained(this.model_id, { - progress_callback, - quantized: true, // TODO allow user to select quantized or not - }); - this.embeddings ??= new Promise( - (resolve, reject) => { - getCachedFile(this.BASE_URL + 'audio-embeddings_52768-512_32bit.bin') - .then((buffer) => { - resolve(new Float32Array(buffer)); - }) - .catch(reject); - } - ); - - return Promise.all([this.tokenizer, this.text_model, this.embeddings]); - } -} - - -function cosineSimilarity(query_embeds, database_embeds) { - const EMBED_DIM = 512; - - const numDB = database_embeds.length / EMBED_DIM; - const similarityScores = new Array(numDB); - - for (let i = 0; i < numDB; ++i) { - const startOffset = i * EMBED_DIM; - const dbVector = database_embeds.slice(startOffset, startOffset + EMBED_DIM); - - let dotProduct = 0; - let normEmbeds = 0; - let normDB = 0; - - for (let j = 0; j < EMBED_DIM; ++j) { - const embedValue = query_embeds[j]; - const dbValue = dbVector[j]; - - dotProduct += embedValue * dbValue; - normEmbeds += embedValue * embedValue; - normDB += dbValue * dbValue; - } - - similarityScores[i] = dotProduct / (Math.sqrt(normEmbeds) * Math.sqrt(normDB)); - } - - return similarityScores; -} - -// Listen for messages from the main thread -self.addEventListener('message', async (event) => { - // Get the tokenizer, model, and embeddings. When called for the first time, - // this will load the files and cache them for future use. - const [tokenizer, text_model, embeddings] = await ApplicationSingleton.getInstance(self.postMessage); - - // Send the output back to the main thread - self.postMessage({ status: 'ready' }); - - // Run tokenization - const text_inputs = tokenizer(event.data.query, { padding: true, truncation: true }); - - // Compute embeddings - const { text_embeds } = await text_model(text_inputs); - - // Compute similarity scores - const scores = cosineSimilarity(text_embeds.data, embeddings); - - const output = scores - .map((score, i) => [score, i]) // Save index - .sort((a, b) => b[0] - a[0]) // Sort by scores - .slice(0, 100); // Get top 100 results - - // Send the output back to the main thread - self.postMessage({ - status: 'complete', - output: output, - }); -}); diff --git a/examples/semantic-image-search-client/.eslintrc.json b/examples/semantic-image-search-client/.eslintrc.json deleted file mode 100644 index bffb357a7..000000000 --- a/examples/semantic-image-search-client/.eslintrc.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "extends": "next/core-web-vitals" -} diff --git a/examples/semantic-image-search-client/.gitignore b/examples/semantic-image-search-client/.gitignore deleted file mode 100644 index 8f322f0d8..000000000 --- a/examples/semantic-image-search-client/.gitignore +++ /dev/null @@ -1,35 +0,0 @@ -# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. - -# dependencies -/node_modules -/.pnp -.pnp.js - -# testing -/coverage - -# next.js -/.next/ -/out/ - -# production -/build - -# misc -.DS_Store -*.pem - -# debug -npm-debug.log* -yarn-debug.log* -yarn-error.log* - -# local env files -.env*.local - -# vercel -.vercel - -# typescript -*.tsbuildinfo -next-env.d.ts diff --git a/examples/semantic-image-search-client/README.md b/examples/semantic-image-search-client/README.md deleted file mode 100644 index fea12a725..000000000 --- a/examples/semantic-image-search-client/README.md +++ /dev/null @@ -1,34 +0,0 @@ -This is a [Next.js](https://nextjs.org/) project bootstrapped with [`create-next-app`](https://github.com/vercel/next.js/tree/canary/packages/create-next-app). - -## Getting Started - -First, run the development server: - -```bash -npm run dev -# or -yarn dev -# or -pnpm dev -``` - -Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. - -You can start editing the page by modifying `app/page.js`. The page auto-updates as you edit the file. - -This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font. - -## Learn More - -To learn more about Next.js, take a look at the following resources: - -- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. -- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. - -You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome! - -## Deploy on Vercel - -The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. - -Check out our [Next.js deployment documentation](https://nextjs.org/docs/deployment) for more details. \ No newline at end of file diff --git a/examples/semantic-image-search-client/jsconfig.json b/examples/semantic-image-search-client/jsconfig.json deleted file mode 100644 index b8d6842d7..000000000 --- a/examples/semantic-image-search-client/jsconfig.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "compilerOptions": { - "paths": { - "@/*": ["./src/*"] - } - } -} diff --git a/examples/semantic-image-search-client/next.config.js b/examples/semantic-image-search-client/next.config.js deleted file mode 100644 index d1cb37318..000000000 --- a/examples/semantic-image-search-client/next.config.js +++ /dev/null @@ -1,20 +0,0 @@ -/** @type {import('next').NextConfig} */ -const nextConfig = { - // (Optional) Export as a static site - // See https://nextjs.org/docs/pages/building-your-application/deploying/static-exports#configuration - output: 'export', // Feel free to modify/remove this option - - // Override the default webpack configuration - webpack: (config) => { - // Ignore node-specific modules when bundling for the browser - // See https://webpack.js.org/configuration/resolve/#resolvealias - config.resolve.alias = { - ...config.resolve.alias, - 'sharp$': false, - 'onnxruntime-node$': false, - } - return config; - }, -}; - -module.exports = nextConfig; \ No newline at end of file diff --git a/examples/semantic-image-search-client/package-lock.json b/examples/semantic-image-search-client/package-lock.json deleted file mode 100644 index 379527906..000000000 --- a/examples/semantic-image-search-client/package-lock.json +++ /dev/null @@ -1,4829 +0,0 @@ -{ - 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"dependencies": { - "available-typed-arrays": "^1.0.5", - "call-bind": "^1.0.2", - "for-each": "^0.3.3", - "gopd": "^1.0.1", - "has-tostringtag": "^1.0.0" - }, - "engines": { - "node": ">= 0.4" - }, - "funding": { - "url": "https://github.com/sponsors/ljharb" - } - }, - "node_modules/wrappy": { - "version": "1.0.2", - "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", - "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==" - }, - "node_modules/yallist": { - "version": "4.0.0", - "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", - "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==" - }, - "node_modules/yaml": { - "version": "2.3.1", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.3.1.tgz", - "integrity": "sha512-2eHWfjaoXgTBC2jNM1LRef62VQa0umtvRiDSk6HSzW7RvS5YtkabJrwYLLEKWBc8a5U2PTSCs+dJjUTJdlHsWQ==", - "engines": { - "node": ">= 14" - } - }, - "node_modules/yocto-queue": { - "version": "0.1.0", - "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", - "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", - "engines": { - "node": ">=10" - }, - "funding": { - "url": "https://github.com/sponsors/sindresorhus" - } - } - } -} diff --git a/examples/semantic-image-search-client/package.json b/examples/semantic-image-search-client/package.json deleted file mode 100644 index e73aafd17..000000000 --- a/examples/semantic-image-search-client/package.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "name": "semantic-image-search-client", - "version": "0.1.0", - "private": true, - "scripts": { - "dev": "next dev", - "build": "next build", - "start": "next start", - "lint": "next lint" - }, - "dependencies": { - "@xenova/transformers": "^2.6.1", - "autoprefixer": "10.4.14", - "blurhash": "^2.0.5", - "eslint": "8.45.0", - "eslint-config-next": "13.4.12", - "next": "^14.2.3", - "postcss": "^8.4.31", - "react": "18.2.0", - "react-dom": "18.2.0", - "tailwindcss": "3.3.3" - }, - "overrides": { - "protobufjs": "^7.2.4" - } -} diff --git a/examples/semantic-image-search-client/postcss.config.js b/examples/semantic-image-search-client/postcss.config.js deleted file mode 100644 index 33ad091d2..000000000 --- a/examples/semantic-image-search-client/postcss.config.js +++ /dev/null @@ -1,6 +0,0 @@ -module.exports = { - plugins: { - tailwindcss: {}, - autoprefixer: {}, - }, -} diff --git a/examples/semantic-image-search-client/public/next.svg b/examples/semantic-image-search-client/public/next.svg deleted file mode 100644 index 5174b28c5..000000000 --- a/examples/semantic-image-search-client/public/next.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/examples/semantic-image-search-client/public/vercel.svg b/examples/semantic-image-search-client/public/vercel.svg deleted file mode 100644 index d2f842227..000000000 --- a/examples/semantic-image-search-client/public/vercel.svg +++ /dev/null @@ -1 +0,0 @@ - \ No newline at end of file diff --git a/examples/semantic-image-search-client/src/app/components/ImageGrid.jsx b/examples/semantic-image-search-client/src/app/components/ImageGrid.jsx deleted file mode 100644 index d33ab3637..000000000 --- a/examples/semantic-image-search-client/src/app/components/ImageGrid.jsx +++ /dev/null @@ -1,32 +0,0 @@ -'use client' - -import Image from 'next/image' -import { blurHashToDataURL } from '../utils.js' - -export function ImageGrid({ images, setCurrentImage }) { - return ( -
- {images && images.map(({ id, url, ar, blur }) => (
-
)
-}
\ No newline at end of file
diff --git a/examples/semantic-image-search-client/src/app/components/Modal.jsx b/examples/semantic-image-search-client/src/app/components/Modal.jsx
deleted file mode 100644
index a40cc1d0c..000000000
--- a/examples/semantic-image-search-client/src/app/components/Modal.jsx
+++ /dev/null
@@ -1,64 +0,0 @@
-'use client'
-
-import Image from 'next/image'
-import { downloadImage } from '../utils.js'
-
-export function Modal({ currentImage, setCurrentImage }) {
- const photo_url = currentImage ? `https://unsplash.com/photos/${currentImage.id}` : null;
- const photo_image_url = currentImage ? `https://images.unsplash.com/${currentImage.url}?auto=format&fit=crop&w=480&q=80` : null;
- return (
- )
-}
\ No newline at end of file
diff --git a/examples/semantic-image-search-client/src/app/components/SearchBar.jsx b/examples/semantic-image-search-client/src/app/components/SearchBar.jsx
deleted file mode 100644
index aa7aaf48c..000000000
--- a/examples/semantic-image-search-client/src/app/components/SearchBar.jsx
+++ /dev/null
@@ -1,33 +0,0 @@
-'use client'
-
-export function SearchBar({ search }) {
- return ()
-}
\ No newline at end of file
diff --git a/examples/semantic-image-search-client/src/app/favicon.ico b/examples/semantic-image-search-client/src/app/favicon.ico
deleted file mode 100644
index 718d6fea4..000000000
Binary files a/examples/semantic-image-search-client/src/app/favicon.ico and /dev/null differ
diff --git a/examples/semantic-image-search-client/src/app/globals.css b/examples/semantic-image-search-client/src/app/globals.css
deleted file mode 100644
index e76e81979..000000000
--- a/examples/semantic-image-search-client/src/app/globals.css
+++ /dev/null
@@ -1,19 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-:root {
- --foreground-rgb: 255, 255, 255;
- --background-start-rgb: 0, 0, 0;
- --background-end-rgb: 0, 0, 0;
-}
-
-body {
- color: rgb(var(--foreground-rgb));
- background: linear-gradient(
- to bottom,
- transparent,
- rgb(var(--background-end-rgb))
- )
- rgb(var(--background-start-rgb));
-}
diff --git a/examples/semantic-image-search-client/src/app/layout.js b/examples/semantic-image-search-client/src/app/layout.js
deleted file mode 100644
index 9d42768a1..000000000
--- a/examples/semantic-image-search-client/src/app/layout.js
+++ /dev/null
@@ -1,17 +0,0 @@
-import './globals.css'
-import { Inter } from 'next/font/google'
-
-const inter = Inter({ subsets: ['latin'] })
-
-export const metadata = {
- title: 'In-browser Semantic Image Search',
- description: 'Search for images using text (built w/ Transformers.js)',
-}
-
-export default function RootLayout({ children }) {
- return (
-
- {children}
-
- )
-}
diff --git a/examples/semantic-image-search-client/src/app/page.js b/examples/semantic-image-search-client/src/app/page.js
deleted file mode 100644
index 4cb7acb17..000000000
--- a/examples/semantic-image-search-client/src/app/page.js
+++ /dev/null
@@ -1,65 +0,0 @@
-'use client'
-
-import { useState, useEffect, useCallback, useRef } from 'react'
-import { Modal } from './components/Modal';
-import { SearchBar } from './components/SearchBar';
-import { ImageGrid } from './components/ImageGrid';
-
-export default function Home() {
-
- // Application state
- const [ready, setReady] = useState(null);
- const [images, setImages] = useState(null);
- const [currentImage, setCurrentImage] = useState(null);
-
- // Create a reference to the worker object.
- const worker = useRef(null);
-
- // We use the `useEffect` hook to set up the worker as soon as the `App` component is mounted.
- useEffect(() => {
- if (!worker.current) {
- // Create the worker if it does not yet exist.
- worker.current = new Worker(new URL('./worker.js', import.meta.url), {
- type: 'module'
- });
- }
- const onMessageReceived = (e) => {
- switch (e.data.status) {
- case 'initiate':
- setReady(false);
- break;
- case 'ready':
- setReady(true);
- break;
- case 'complete':
- setImages(e.data.output);
- break;
- }
- };
-
- // Attach the callback function as an event listener.
- worker.current.addEventListener('message', onMessageReceived);
-
- // Define a cleanup function for when the component is unmounted.
- return () => worker.current.removeEventListener('message', onMessageReceived);
- });
-
- const search = useCallback((text) => {
- if (worker.current) {
- worker.current.postMessage({ text });
- }
- }, []);
-
- return (
- {
- setCurrentImage({ id, url, ar, blur });
- }}
- >
-
- ))}
-
-
- );
-};
-
-export default App;
diff --git a/examples/text-to-speech-client/src/components/AudioPlayer.jsx b/examples/text-to-speech-client/src/components/AudioPlayer.jsx
deleted file mode 100644
index a6d2daf1f..000000000
--- a/examples/text-to-speech-client/src/components/AudioPlayer.jsx
+++ /dev/null
@@ -1,26 +0,0 @@
-import { useEffect, useRef } from "react";
-
-export default function AudioPlayer({ audioUrl, mimeType }) {
- const audioPlayer = useRef(null);
- const audioSource = useRef(null);
-
- // Updates src when url changes
- useEffect(() => {
- if (audioPlayer.current && audioSource.current) {
- audioSource.current.src = audioUrl;
- audioPlayer.current.load();
- }
- }, [audioUrl]);
-
- return (
-
- {isLoading && (
-
- )}
- {progressItems.map(data => (
-
-
-
-
-
- ))}
-
-
-
- );
-}
\ No newline at end of file
diff --git a/examples/text-to-speech-client/src/components/Progress.jsx b/examples/text-to-speech-client/src/components/Progress.jsx
deleted file mode 100644
index efaaf0a9a..000000000
--- a/examples/text-to-speech-client/src/components/Progress.jsx
+++ /dev/null
@@ -1,12 +0,0 @@
-
-export default function Progress({ text, percentage }) {
- percentage ??= 0;
- return (
-
-
- );
-}
-
diff --git a/examples/text-to-speech-client/src/constants.js b/examples/text-to-speech-client/src/constants.js
deleted file mode 100644
index ef6d848af..000000000
--- a/examples/text-to-speech-client/src/constants.js
+++ /dev/null
@@ -1,11 +0,0 @@
-export const SPEAKERS = {
- "US female 1": "cmu_us_slt_arctic-wav-arctic_a0001",
- "US female 2": "cmu_us_clb_arctic-wav-arctic_a0001",
- "US male 1": "cmu_us_bdl_arctic-wav-arctic_a0003",
- "US male 2": "cmu_us_rms_arctic-wav-arctic_a0003",
- "Canadian male": "cmu_us_jmk_arctic-wav-arctic_a0002",
- "Scottish male": "cmu_us_awb_arctic-wav-arctic_b0002",
- "Indian male": "cmu_us_ksp_arctic-wav-arctic_a0007",
-}
-
-export const DEFAULT_SPEAKER = "cmu_us_slt_arctic-wav-arctic_a0001";
diff --git a/examples/text-to-speech-client/src/index.css b/examples/text-to-speech-client/src/index.css
deleted file mode 100644
index 2ea01764b..000000000
--- a/examples/text-to-speech-client/src/index.css
+++ /dev/null
@@ -1,21 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-:root {
- font-family: Inter, system-ui, Avenir, Helvetica, Arial, sans-serif;
- line-height: 1.5;
- font-weight: 400;
- color: #213547;
- background-color: #ffffff;
-
- font-synthesis: none;
- text-rendering: optimizeLegibility;
- -webkit-font-smoothing: antialiased;
- -moz-osx-font-smoothing: grayscale;
- -webkit-text-size-adjust: 100%;
-}
-
-audio::-webkit-media-controls-panel {
- background-color: white;
-}
\ No newline at end of file
diff --git a/examples/text-to-speech-client/src/main.jsx b/examples/text-to-speech-client/src/main.jsx
deleted file mode 100644
index 54b39dd1d..000000000
--- a/examples/text-to-speech-client/src/main.jsx
+++ /dev/null
@@ -1,10 +0,0 @@
-import React from 'react'
-import ReactDOM from 'react-dom/client'
-import App from './App.jsx'
-import './index.css'
-
-ReactDOM.createRoot(document.getElementById('root')).render(
-
- {text} ({`${percentage.toFixed(2)}%`})
-
-
-
-
- )
-}
-
-export default App
diff --git a/examples/tokenizer-playground/src/components/Token.jsx b/examples/tokenizer-playground/src/components/Token.jsx
deleted file mode 100644
index 8987eb9ce..000000000
--- a/examples/tokenizer-playground/src/components/Token.jsx
+++ /dev/null
@@ -1,23 +0,0 @@
-import { Fragment } from 'react';
-
-const COLOURS = [
- 'bg-purple-300',
- 'bg-green-300',
- 'bg-yellow-300',
- 'bg-red-300',
- 'bg-blue-300',
-]
-
-export function Token({ text, position, margin }) {
- const textWithLineBreaks = text.split('\n').map((line, index, array) => (
-
-
-
- The Tokenizer Playground
-Experiment with different tokenizers (running locally in your browser).
-
-
- {(!(tokenizer in TOKENIZER_OPTIONS) || customTokenizer || tokenizer === '') && (
- {
- setCustomTokenizer(e.target.value);
- onTokenizerChange(e);
- }}
- className="bg-white border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full py-1 px-2 mt-1"
- />
- )}
-
-
-
-
-
-
-
-
-
-
- Tokens
-{tokenIds.length.toLocaleString()}
-
-
- Characters
-{(textareaRef.current?.value.length ?? 0).toLocaleString()}
-
- {outputOption === 'text' ? (
- decodedTokens.map(
- (token, index) =>
-
-
-
-
- setOutputOption('text')} id="output-radio-1" type="radio" value="" name="output-radio" className="w-4 h-4 text-blue-600 bg-gray-100 border-gray-300 focus:ring-blue-500" />
-
-
-
- setOutputOption('token_ids')} id="output-radio-2" type="radio" value="" name="output-radio" className="w-4 h-4 text-blue-600 bg-gray-100 border-gray-300 focus:ring-blue-500" />
-
-
-
- setOutputOption(null)} id="output-radio-3" type="radio" value="" name="output-radio" className="w-4 h-4 text-blue-600 bg-gray-100 border-gray-300 focus:ring-blue-500" />
-
-
- } -
- Real-time object detection w/ - 🤗 Transformers.js -
-- Runs locally in your browser, powered by - YOLOv9 -
-
-
-
-
-
-
-
-
-
-
-
-
-
diff --git a/examples/video-object-detection/main.js b/examples/video-object-detection/main.js
deleted file mode 100644
index 12c3552a4..000000000
--- a/examples/video-object-detection/main.js
+++ /dev/null
@@ -1,160 +0,0 @@
-import './style.css';
-
-import { env, AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
-
-// Since we will download the model from the Hugging Face Hub, we can skip the local model check
-env.allowLocalModels = false;
-
-// Proxy the WASM backend to prevent the UI from freezing
-env.backends.onnx.wasm.proxy = true;
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const container = document.getElementById('container');
-const overlay = document.getElementById('overlay');
-const canvas = document.getElementById('canvas');
-const video = document.getElementById('video');
-const thresholdSlider = document.getElementById('threshold');
-const thresholdLabel = document.getElementById('threshold-value');
-const sizeSlider = document.getElementById('size');
-const sizeLabel = document.getElementById('size-value');
-const scaleSlider = document.getElementById('scale');
-const scaleLabel = document.getElementById('scale-value');
-
-function setStreamSize(width, height) {
- video.width = canvas.width = Math.round(width);
- video.height = canvas.height = Math.round(height);
-}
-
-status.textContent = 'Loading model...';
-
-// Load model and processor
-const model_id = 'Xenova/gelan-c_all';
-const model = await AutoModel.from_pretrained(model_id);
-const processor = await AutoProcessor.from_pretrained(model_id);
-
-// Set up controls
-let scale = 0.5;
-scaleSlider.addEventListener('input', () => {
- scale = Number(scaleSlider.value);
- setStreamSize(video.videoWidth * scale, video.videoHeight * scale);
- scaleLabel.textContent = scale;
-});
-scaleSlider.disabled = false;
-
-let threshold = 0.25;
-thresholdSlider.addEventListener('input', () => {
- threshold = Number(thresholdSlider.value);
- thresholdLabel.textContent = threshold.toFixed(2);
-});
-thresholdSlider.disabled = false;
-
-let size = 128;
-processor.feature_extractor.size = { shortest_edge: size };
-sizeSlider.addEventListener('input', () => {
- size = Number(sizeSlider.value);
- processor.feature_extractor.size = { shortest_edge: size };
- sizeLabel.textContent = size;
-});
-sizeSlider.disabled = false;
-
-status.textContent = 'Ready';
-
-const COLOURS = [
- "#EF4444", "#4299E1", "#059669",
- "#FBBF24", "#4B52B1", "#7B3AC2",
- "#ED507A", "#1DD1A1", "#F3873A",
- "#4B5563", "#DC2626", "#1852B4",
- "#18A35D", "#F59E0B", "#4059BE",
- "#6027A5", "#D63D60", "#00AC9B",
- "#E64A19", "#272A34"
-]
-
-// Render a bounding box and label on the image
-function renderBox([xmin, ymin, xmax, ymax, score, id], [w, h]) {
- if (score < threshold) return; // Skip boxes with low confidence
-
- // Generate a random color for the box
- const color = COLOURS[id % COLOURS.length];
-
- // Draw the box
- const boxElement = document.createElement('div');
- boxElement.className = 'bounding-box';
- Object.assign(boxElement.style, {
- borderColor: color,
- left: 100 * xmin / w + '%',
- top: 100 * ymin / h + '%',
- width: 100 * (xmax - xmin) / w + '%',
- height: 100 * (ymax - ymin) / h + '%',
- })
-
- // Draw label
- const labelElement = document.createElement('span');
- labelElement.textContent = `${model.config.id2label[id]} (${(100 * score).toFixed(2)}%)`;
- labelElement.className = 'bounding-box-label';
- labelElement.style.backgroundColor = color;
-
- boxElement.appendChild(labelElement);
- overlay.appendChild(boxElement);
-}
-
-let isProcessing = false;
-let previousTime;
-const context = canvas.getContext('2d', { willReadFrequently: true });
-function updateCanvas() {
- const { width, height } = canvas;
- context.drawImage(video, 0, 0, width, height);
-
- if (!isProcessing) {
- isProcessing = true;
- (async function () {
- // Read the current frame from the video
- const pixelData = context.getImageData(0, 0, width, height).data;
- const image = new RawImage(pixelData, width, height, 4);
-
- // Process the image and run the model
- const inputs = await processor(image);
- const { outputs } = await model(inputs);
-
- // Update UI
- overlay.innerHTML = '';
-
- const sizes = inputs.reshaped_input_sizes[0].reverse();
- outputs.tolist().forEach(x => renderBox(x, sizes));
-
- if (previousTime !== undefined) {
- const fps = 1000 / (performance.now() - previousTime);
- status.textContent = `FPS: ${fps.toFixed(2)}`;
- }
- previousTime = performance.now();
- isProcessing = false;
- })();
- }
-
- window.requestAnimationFrame(updateCanvas);
-}
-
-// Start the video stream
-navigator.mediaDevices.getUserMedia(
- { video: true }, // Ask for video
-).then((stream) => {
- // Set up the video and canvas elements.
- video.srcObject = stream;
- video.play();
-
- const videoTrack = stream.getVideoTracks()[0];
- const { width, height } = videoTrack.getSettings();
-
- setStreamSize(width * scale, height * scale);
-
- // Set container width and height depending on the image aspect ratio
- const ar = width / height;
- const [cw, ch] = (ar > 720 / 405) ? [720, 720 / ar] : [405 * ar, 405];
- container.style.width = `${cw}px`;
- container.style.height = `${ch}px`;
-
- // Start the animation loop
- window.requestAnimationFrame(updateCanvas);
-}).catch((error) => {
- alert(error);
-});
diff --git a/examples/video-object-detection/package-lock.json b/examples/video-object-detection/package-lock.json
deleted file mode 100644
index 9ece04cd3..000000000
--- a/examples/video-object-detection/package-lock.json
+++ /dev/null
@@ -1,1505 +0,0 @@
-{
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- "integrity": "sha512-qJj60CXt7IU1Ffyc3NJMjh6EkuCFej46zUqJ4J7pqYlThyd9bO0XBTmcOIhSzZJVWfsLks0+nle/j538YAW9RQ==",
- "dependencies": {
- "b4a": "^1.6.4",
- "fast-fifo": "^1.2.0",
- "streamx": "^2.15.0"
- }
- },
- "node_modules/tunnel-agent": {
- "version": "0.6.0",
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- "dependencies": {
- "safe-buffer": "^5.0.1"
- },
- "engines": {
- "node": "*"
- }
- },
- "node_modules/undici-types": {
- "version": "5.26.5",
- "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
- "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA=="
- },
- "node_modules/util-deprecate": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/util-deprecate/-/util-deprecate-1.0.2.tgz",
- "integrity": "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="
- },
- "node_modules/vite": {
- "version": "5.1.7",
- "resolved": "https://registry.npmjs.org/vite/-/vite-5.1.7.tgz",
- "integrity": "sha512-sgnEEFTZYMui/sTlH1/XEnVNHMujOahPLGMxn1+5sIT45Xjng1Ec1K78jRP15dSmVgg5WBin9yO81j3o9OxofA==",
- "dev": true,
- "dependencies": {
- "esbuild": "^0.19.3",
- "postcss": "^8.4.35",
- "rollup": "^4.2.0"
- },
- "bin": {
- "vite": "bin/vite.js"
- },
- "engines": {
- "node": "^18.0.0 || >=20.0.0"
- },
- "funding": {
- "url": "https://github.com/vitejs/vite?sponsor=1"
- },
- "optionalDependencies": {
- "fsevents": "~2.3.3"
- },
- "peerDependencies": {
- "@types/node": "^18.0.0 || >=20.0.0",
- "less": "*",
- "lightningcss": "^1.21.0",
- "sass": "*",
- "stylus": "*",
- "sugarss": "*",
- "terser": "^5.4.0"
- },
- "peerDependenciesMeta": {
- "@types/node": {
- "optional": true
- },
- "less": {
- "optional": true
- },
- "lightningcss": {
- "optional": true
- },
- "sass": {
- "optional": true
- },
- "stylus": {
- "optional": true
- },
- "sugarss": {
- "optional": true
- },
- "terser": {
- "optional": true
- }
- }
- },
- "node_modules/wrappy": {
- "version": "1.0.2",
- "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
- "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="
- },
- "node_modules/yallist": {
- "version": "4.0.0",
- "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz",
- "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A=="
- }
- }
-}
diff --git a/examples/video-object-detection/package.json b/examples/video-object-detection/package.json
deleted file mode 100644
index d4ac2d672..000000000
--- a/examples/video-object-detection/package.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
- "name": "video-object-detection",
- "private": true,
- "version": "0.0.0",
- "type": "module",
- "scripts": {
- "dev": "vite",
- "build": "vite build",
- "preview": "vite preview"
- },
- "devDependencies": {
- "vite": "^5.1.7"
- },
- "dependencies": {
- "@xenova/transformers": "^2.15.0"
- }
-}
diff --git a/examples/video-object-detection/style.css b/examples/video-object-detection/style.css
deleted file mode 100644
index 4892e55b2..000000000
--- a/examples/video-object-detection/style.css
+++ /dev/null
@@ -1,83 +0,0 @@
-* {
- box-sizing: border-box;
- padding: 0;
- margin: 0;
- font-family: sans-serif;
-}
-
-html,
-body {
- height: 100%;
-}
-
-body {
- padding: 16px 32px;
-}
-
-body,
-#container {
- display: flex;
- flex-direction: column;
- justify-content: center;
- align-items: center;
-}
-
-#controls {
- display: flex;
- padding: 1rem;
- gap: 1rem;
-}
-
-#controls>div {
- text-align: center;
-}
-
-h1,
-h4 {
- text-align: center;
-}
-
-h4 {
- margin-top: 0.5rem;
-}
-
-#container {
- position: relative;
- width: 720px;
- height: 405px;
- max-width: 100%;
- max-height: 100%;
- border: 2px dashed #D1D5DB;
- border-radius: 0.75rem;
- overflow: hidden;
- margin-top: 1rem;
- background-size: 100% 100%;
- background-position: center;
- background-repeat: no-repeat;
-}
-
-#overlay,
-canvas {
- position: absolute;
- width: 100%;
- height: 100%;
-}
-
-#status {
- min-height: 16px;
- margin: 8px 0;
-}
-
-.bounding-box {
- position: absolute;
- box-sizing: border-box;
- border: solid 2px;
-}
-
-.bounding-box-label {
- color: white;
- position: absolute;
- font-size: 12px;
- margin: -16px 0 0 -2px;
- padding: 1px;
-}
diff --git a/examples/video-object-detection/vite.config.js b/examples/video-object-detection/vite.config.js
deleted file mode 100644
index 6c32f52df..000000000
--- a/examples/video-object-detection/vite.config.js
+++ /dev/null
@@ -1,6 +0,0 @@
-import { defineConfig } from 'vite';
-export default defineConfig({
- build: {
- target: 'esnext'
- }
-});
diff --git a/examples/webgpu-embedding-benchmark/.gitignore b/examples/webgpu-embedding-benchmark/.gitignore
deleted file mode 100644
index a547bf36d..000000000
--- a/examples/webgpu-embedding-benchmark/.gitignore
+++ /dev/null
@@ -1,24 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
diff --git a/examples/webgpu-embedding-benchmark/index.html b/examples/webgpu-embedding-benchmark/index.html
deleted file mode 100644
index 8b4a9d361..000000000
--- a/examples/webgpu-embedding-benchmark/index.html
+++ /dev/null
@@ -1,64 +0,0 @@
-
-
-
-
-
-
-
-
- ()
-
- -
- - -
-
- ()
-
- -
- - -
-
- ()
-
- -
- - -
- 🤗 Transformers.js WebGPU Benchmark -
-- This benchmark measures the execution time of BERT-based embedding models - using the WASM and WebGPU execution providers across different batch sizes. -
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/webgpu-embedding-benchmark/main.js b/examples/webgpu-embedding-benchmark/main.js
deleted file mode 100644
index bdf731395..000000000
--- a/examples/webgpu-embedding-benchmark/main.js
+++ /dev/null
@@ -1,305 +0,0 @@
-import './style.css';
-import { env, AutoModel, ones } from '@xenova/transformers';
-import Chart from 'chart.js/auto';
-
-// Throw an error if WebGPU is not supported
-if (!navigator.gpu) {
- const err = 'WebGPU is not supported by this browser.';
- alert(err)
- throw Error(err);
-}
-
-env.backends.onnx.wasm.wasmPaths = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.17.1/dist/';
-env.backends.onnx.wasm.numThreads = 1;
-
-// Reference the elements that we will need
-const ctx = document.getElementById('chart');
-const batchSizes = document.getElementById('batch-sizes');
-const xscale = document.getElementById('x-scale');
-const yscale = document.getElementById('y-scale');
-const sequenceLength = document.getElementById('sequence-length');
-const modelID = document.getElementById('model-id');
-const status = document.getElementById('status');
-const start = document.getElementById('start');
-const stop = document.getElementById('stop');
-const tests = document.getElementsByClassName('tests');
-
-// Benchmark settings
-const NUM_WARMUP_STEPS = 3;
-const MODEL_CACHE = new Map();
-
-// Chart configuration
-const initChart = () => {
- const config = {
- type: 'line',
- data: {
- labels: [],
- datasets: [],
- },
- options: {
- responsive: true,
- maintainAspectRatio: false,
- plugins: {
- legend: {
- position: 'top',
- },
- },
- scales: {
- x: {
- title: {
- display: true,
- text: 'Batch size',
- },
- min: 1,
- },
- y: {
- title: {
- display: true,
- text: 'Time (ms)',
- },
- }
- }
- },
- };
- const chart = new Chart(ctx, config);
- return chart;
-}
-let chart = initChart();
-const toggleScale = (axis, enabled) => {
- chart.options.scales[axis].type = enabled ? 'logarithmic' : 'linear';
- chart.update();
-}
-
-const getSelectedTests = () => {
- return [...tests].filter(x => x.checked);
-}
-
-const updateDatasets = () => {
- chart.data.datasets = getSelectedTests().map(test => {
- const color = test.getAttribute('data-color');
- return {
- label: test.value,
- data: [],
- borderColor: `rgba(${color}, 1)`,
- backgroundColor: `rgba(${color}, 0.5)`,
- }
- })
- chart.update();
-}
-updateDatasets();
-[...tests].forEach(test => test.addEventListener('change', updateDatasets));
-
-xscale.addEventListener('change', () => toggleScale('x', xscale.checked));
-yscale.addEventListener('change', () => toggleScale('y', yscale.checked));
-
-const generateDummyInputs = (batch_size, seqLength) => {
- const inputs = ones([batch_size, seqLength]);
-
- const model_inputs = {
- input_ids: inputs,
- attention_mask: inputs,
- }
- return model_inputs;
-}
-
-let adapterInfo;
-let gpuHasFp16 = false;
-try {
- // Shouldn't fail since the WebGPU model has loaded successfully
- const adapter = await navigator.gpu.requestAdapter();
- adapterInfo = await adapter.requestAdapterInfo();
- gpuHasFp16 = adapter.features.has('shader-f16')
-} catch (err) {
- adapterInfo = {};
-}
-if (!gpuHasFp16) {
- const element = document.querySelector('.tests[data-device="webgpu"][data-dtype="fp16"]');
- element.setAttribute('unsupported', true);
- element.disabled = true;
- element.title = 'This device does not support fp16 on WebGPU';
-}
-
-status.textContent = 'Ready';
-
-let interrupted = false;
-start.addEventListener('click', async () => {
- const validTests = [...tests].filter(test => !test.getAttribute('unsupported'))
- // Update UI
- start.disabled = true;
- stop.disabled = false;
- batchSizes.disabled = true;
- sequenceLength.disabled = true;
- modelID.disabled = true;
- validTests.forEach(test => test.disabled = true);
- interrupted = false;
-
- // Get parameters
- const model_id = modelID.value;
- const batch_sizes = batchSizes.value.split(',').map(x => parseInt(x)).filter(x => x);
- const seqLength = parseInt(sequenceLength.value);
- const selectedTests = getSelectedTests().map(x => ({
- label: x.value,
- dtype: x.getAttribute('data-dtype'),
- device: x.getAttribute('data-device'),
- }));
-
- // Reset
- chart.destroy();
- chart = initChart();
- updateDatasets();
-
- // NOTE: Models must be loaded sequentially (otherwise it will fail due to multiple calls to initWasm())
- const testsToRun = new Map();
- for (const test of selectedTests) {
- const { label, dtype, device, quantized } = test;
-
- const key = `${model_id}///${label}`;
-
- const cached = MODEL_CACHE.get(key);
- if (cached) {
- testsToRun.set(label, cached);
- continue;
- }
- status.textContent = 'Loading model(s)...';
-
- try {
- const model = await AutoModel.from_pretrained(model_id, {
- quantized,
- device,
- dtype,
- });
- MODEL_CACHE.set(key, model);
- testsToRun.set(label, model);
- } catch (err) {
- status.textContent = err.message;
- alert(err.message)
- throw err;
- }
- }
-
- status.textContent = 'Warming up...';
-
- // Warm up: This is important for the WebGPU execution provider, which compiles the shaders on first load
- for (let i = 0; i < NUM_WARMUP_STEPS; ++i) {
- const model_inputs = generateDummyInputs(1, seqLength);
- for (const [label, model] of testsToRun) {
- await model(model_inputs);
- }
- }
-
- status.textContent = 'Running benchmark...';
-
- for (const batch_size of batch_sizes) {
- if (interrupted) break;
-
- const model_inputs = generateDummyInputs(batch_size, seqLength);
-
- const times = []
-
- for (const [label, model] of testsToRun) {
- const start = performance.now();
- await model(model_inputs);
- const end = performance.now();
- times.push(end - start);
- }
-
- chart.data.labels.push(batch_size);
- for (let i = 0; i < times.length; ++i) {
- chart.data.datasets[i].data.push(times[i]);
- }
- chart.update();
- }
-
- // Calculate max speedup:
- if (chart.data.labels.length === 0) return;
-
- const testNames = [...testsToRun.keys()];
- const table = generateResultsTable(model_id, testNames, chart.data, seqLength);
-
-
- // Calculate slowest and fastest times
- let minMaxTimes = [Infinity, 0];
- let minMaxIndices = [0, 0];
- for (let i = 0; i < chart.data.datasets.length; i++) {
- const lastTime = chart.data.datasets[i].data.at(-1);
- if (lastTime < minMaxTimes[0]) {
- minMaxTimes[0] = lastTime;
- minMaxIndices[0] = i;
- }
- if (lastTime > minMaxTimes[1]) {
- minMaxTimes[1] = lastTime;
- minMaxIndices[1] = i;
- }
- }
-
- const speedup = minMaxTimes[1] / minMaxTimes[0];
- const roundedSpeedup = speedup.toFixed(2);
- const params = new URLSearchParams({
- title: `⚡ WebGPU Benchmark Results (${roundedSpeedup}x speedup)`,
- description: table.outerHTML,
- });
-
- const paramsStr = params.toString();
- status.innerHTML = `⚡ Done! ${testNames.at(minMaxIndices[0])} is ${roundedSpeedup}x faster than ${testNames.at(minMaxIndices[1])}! ⚡Options
-
- WASM (int8)
- WASM (fp16)
- WASM (fp32)
- - WebGPU (fp16)
- WebGPU (fp32)
-
- - WASM (fp16)
- WASM (fp32)
- - WebGPU (fp16)
- WebGPU (fp32)
-
-
-
-
-
-
-
-
-
-
-
-
-
- -
- Log scale (x)
- Log scale (y)
-
- - Log scale (y)
-
Share results`; - start.disabled = false; - stop.disabled = true; - batchSizes.disabled = false; - sequenceLength.disabled = false; - modelID.disabled = false; - validTests.forEach(test => test.disabled = false); -}); - -start.disabled = false; - -stop.addEventListener('click', () => { - status.textContent = 'Stopping...'; - interrupted = true; - stop.disabled = true; -}); - -function generateResultsTable(model_id, testNames, data, sequence_length) { - - const datasets = data.datasets.map(d => d.data); - const batch_sizes = data.labels; - - const container = document.createElement('div'); - - const table = document.createElement('table'); - const thead = table.createTHead(); - const tbody = table.createTBody(); - - // Add header row - const headerRow = thead.insertRow(); - headerRow.insertCell().textContent = 'Batch Size'; - testNames.forEach(model => { - headerRow.insertCell().textContent = model; - }); - - // Add data rows - batch_sizes.forEach((batchSize, rowIndex) => { - const row = tbody.insertRow(); - row.insertCell().textContent = batchSize; - datasets.forEach(dataset => { - row.insertCell().textContent = dataset[rowIndex].toFixed(2); - }); - }); - - container.appendChild(table); - - const createBulletPoint = (text) => { - const li = document.createElement('li'); - li.textContent = text; - return li; - } - - // Add other information - const info = document.createElement('ul'); - info.appendChild(createBulletPoint(`Model: ${model_id}`)); - info.appendChild(createBulletPoint(`Tests run: ${testNames.join(', ')}`)); - info.appendChild(createBulletPoint(`Sequence length: ${sequence_length}`)); - info.appendChild(createBulletPoint(`Browser: ${navigator.userAgent}`)); - info.appendChild(createBulletPoint(`GPU: vendor=${adapterInfo.vendor}, architecture=${adapterInfo.architecture}, device=${adapterInfo.device}, description=${adapterInfo.description}`)); - container.appendChild(info); - - return container; -} diff --git a/examples/webgpu-embedding-benchmark/package.json b/examples/webgpu-embedding-benchmark/package.json deleted file mode 100644 index d90288d7a..000000000 --- a/examples/webgpu-embedding-benchmark/package.json +++ /dev/null @@ -1,18 +0,0 @@ -{ - "name": "webgpu-embedding-benchmark", - "private": true, - "version": "0.0.0", - "type": "module", - "scripts": { - "dev": "vite", - "build": "vite build", - "preview": "vite preview" - }, - "devDependencies": { - "vite": "^5.0.12" - }, - "dependencies": { - "@xenova/transformers": "^3.0.0", - "chart.js": "^4.4.2" - } -} diff --git a/examples/webgpu-embedding-benchmark/style.css b/examples/webgpu-embedding-benchmark/style.css deleted file mode 100644 index 9253d75e3..000000000 --- a/examples/webgpu-embedding-benchmark/style.css +++ /dev/null @@ -1,87 +0,0 @@ -* { - box-sizing: border-box; - padding: 0; - margin: 0; - font-family: sans-serif; -} - -html, -body { - height: 100%; -} - -body { - padding: 16px 32px; - display: flex; - flex-direction: column; - justify-content: center; - align-items: center; -} - -h1 { - text-align: center; -} - -#status { - min-height: 16px; - margin: 8px 0; - text-align: center; -} - -button { - transition: all .25s; - background: rgba(40, 44, 52, 0.05); - border: 1px solid transparent; - border-radius: 6px; - color: #3080d0; - text-decoration: none !important; - display: inline-block; - font-size: 14px; - font-weight: 500; - padding: 8px 16px; - cursor: pointer; - -webkit-user-select: none; - -moz-user-select: none; - user-select: none; -} - -button:disabled { - background: rgba(40, 44, 52, 0.1); - color: #a0a0a0; - cursor: not-allowed; -} - -button:hover { - background: rgba(40, 44, 52, 0.1); -} - -p { - text-align: center; - font-size: 12px; - max-width: 600px; - padding: 8px; -} - -#chart-container { - position: relative; - height: 60vh; - width: min(90vw, 800px); - padding-right: 50px; - margin-bottom: 10px; -} - -details { - position: fixed; - background-color: white; - right: 0; - top: 0; - padding: 16px; -} - -summary { - text-align: right; -} - -hr { - margin: 8px 0; -} diff --git a/examples/webgpu-embedding-benchmark/vite.config.js b/examples/webgpu-embedding-benchmark/vite.config.js deleted file mode 100644 index 6c32f52df..000000000 --- a/examples/webgpu-embedding-benchmark/vite.config.js +++ /dev/null @@ -1,6 +0,0 @@ -import { defineConfig } from 'vite'; -export default defineConfig({ - build: { - target: 'esnext' - } -}); diff --git a/examples/webgpu-video-background-removal/.gitignore b/examples/webgpu-video-background-removal/.gitignore deleted file mode 100644 index a547bf36d..000000000 --- a/examples/webgpu-video-background-removal/.gitignore +++ /dev/null @@ -1,24 +0,0 @@ -# Logs -logs -*.log -npm-debug.log* -yarn-debug.log* -yarn-error.log* -pnpm-debug.log* -lerna-debug.log* - -node_modules -dist -dist-ssr -*.local - -# Editor directories and files -.vscode/* -!.vscode/extensions.json -.idea -.DS_Store -*.suo -*.ntvs* -*.njsproj -*.sln -*.sw? diff --git a/examples/webgpu-video-background-removal/index.html b/examples/webgpu-video-background-removal/index.html deleted file mode 100644 index 8e71df5a9..000000000 --- a/examples/webgpu-video-background-removal/index.html +++ /dev/null @@ -1,43 +0,0 @@ - - - - - - -
- Real-time background removal w/ - 🤗 Transformers.js -
-- Runs locally in your browser, powered by - MODNet -
-
-
-
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/webgpu-video-background-removal/main.js b/examples/webgpu-video-background-removal/main.js
deleted file mode 100644
index 620f21afb..000000000
--- a/examples/webgpu-video-background-removal/main.js
+++ /dev/null
@@ -1,128 +0,0 @@
-import './style.css';
-
-import { env, AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
-
-env.backends.onnx.wasm.wasmPaths = 'https://cdn.jsdelivr.net/npm/onnxruntime-web@1.17.1/dist/';
-env.backends.onnx.wasm.numThreads = 1;
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const container = document.getElementById('container');
-const canvas = document.getElementById('canvas');
-const outputCanvas = document.getElementById('output-canvas');
-const video = document.getElementById('video');
-const sizeSlider = document.getElementById('size');
-const sizeLabel = document.getElementById('size-value');
-const scaleSlider = document.getElementById('scale');
-const scaleLabel = document.getElementById('scale-value');
-
-function setStreamSize(width, height) {
- video.width = outputCanvas.width = canvas.width = Math.round(width);
- video.height = outputCanvas.height = canvas.height = Math.round(height);
-}
-
-status.textContent = 'Loading model...';
-
-// Load model and processor
-const model_id = 'Xenova/modnet';
-let model;
-try {
- model = await AutoModel.from_pretrained(model_id, {
- device: 'webgpu',
- dtype: 'fp32', // TODO: add fp16 support
- });
-} catch (err) {
- status.textContent = err.message;
- alert(err.message)
- throw err;
-}
-
-const processor = await AutoProcessor.from_pretrained(model_id);
-
-// Set up controls
-let size = 256;
-processor.feature_extractor.size = { shortest_edge: size };
-sizeSlider.addEventListener('input', () => {
- size = Number(sizeSlider.value);
- processor.feature_extractor.size = { shortest_edge: size };
- sizeLabel.textContent = size;
-});
-sizeSlider.disabled = false;
-
-let scale = 0.5;
-scaleSlider.addEventListener('input', () => {
- scale = Number(scaleSlider.value);
- setStreamSize(video.videoWidth * scale, video.videoHeight * scale);
- scaleLabel.textContent = scale;
-});
-scaleSlider.disabled = false;
-
-status.textContent = 'Ready';
-
-let isProcessing = false;
-let previousTime;
-const context = canvas.getContext('2d', { willReadFrequently: true });
-const outputContext = outputCanvas.getContext('2d', { willReadFrequently: true });
-function updateCanvas() {
- const { width, height } = canvas;
-
- if (!isProcessing) {
- isProcessing = true;
- (async function () {
- // Read the current frame from the video
- context.drawImage(video, 0, 0, width, height);
- const currentFrame = context.getImageData(0, 0, width, height);
- const image = new RawImage(currentFrame.data, width, height, 4);
-
- // Pre-process image
- const inputs = await processor(image);
-
- // Predict alpha matte
- const { output } = await model({ input: inputs.pixel_values });
-
- const mask = await RawImage.fromTensor(output[0].mul(255).to('uint8')).resize(width, height);
-
- // Update alpha channel
- const outPixelData = currentFrame;
- for (let i = 0; i < mask.data.length; ++i) {
- outPixelData.data[4 * i + 3] = mask.data[i];
- }
- outputContext.putImageData(outPixelData, 0, 0);
-
- if (previousTime !== undefined) {
- const fps = 1000 / (performance.now() - previousTime);
- status.textContent = `FPS: ${fps.toFixed(2)}`;
- }
- previousTime = performance.now();
-
- isProcessing = false;
- })();
- }
-
- window.requestAnimationFrame(updateCanvas);
-}
-
-// Start the video stream
-navigator.mediaDevices.getUserMedia(
- { video: true }, // Ask for video
-).then((stream) => {
- // Set up the video and canvas elements.
- video.srcObject = stream;
- video.play();
-
- const videoTrack = stream.getVideoTracks()[0];
- const { width, height } = videoTrack.getSettings();
-
- setStreamSize(width * scale, height * scale);
-
- // Set container width and height depending on the image aspect ratio
- const ar = width / height;
- const [cw, ch] = (ar > 720 / 405) ? [720, 720 / ar] : [405 * ar, 405];
- container.style.width = `${cw}px`;
- container.style.height = `${ch}px`;
-
- // Start the animation loop
- setTimeout(updateCanvas, 50);
-}).catch((error) => {
- alert(error);
-});
diff --git a/examples/webgpu-video-background-removal/package.json b/examples/webgpu-video-background-removal/package.json
deleted file mode 100644
index 9ebe47afe..000000000
--- a/examples/webgpu-video-background-removal/package.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
- "name": "webgpu-video-background-removal",
- "private": true,
- "version": "0.0.0",
- "type": "module",
- "scripts": {
- "dev": "vite",
- "build": "vite build",
- "preview": "vite preview"
- },
- "devDependencies": {
- "vite": "^5.0.12"
- },
- "dependencies": {
- "@xenova/transformers": "^3.0.0"
- }
-}
diff --git a/examples/webgpu-video-background-removal/style.css b/examples/webgpu-video-background-removal/style.css
deleted file mode 100644
index a86729e1c..000000000
--- a/examples/webgpu-video-background-removal/style.css
+++ /dev/null
@@ -1,87 +0,0 @@
-* {
- box-sizing: border-box;
- padding: 0;
- margin: 0;
- font-family: sans-serif;
-}
-
-html,
-body {
- height: 100%;
-}
-
-body {
- padding: 16px 32px;
-}
-
-body,
-#container {
- display: flex;
- flex-direction: column;
- justify-content: center;
- align-items: center;
-}
-
-#controls {
- display: flex;
- padding: 1rem;
- gap: 1rem;
-}
-
-#controls>div {
- text-align: center;
-}
-
-h1,
-h4 {
- text-align: center;
-}
-
-h4 {
- margin-top: 0.5rem;
-}
-
-#container {
- position: relative;
- width: 720px;
- height: 405px;
- max-width: 100%;
- max-height: 100%;
- border: 2px dashed #D1D5DB;
- border-radius: 0.75rem;
- overflow: hidden;
- margin-top: 1rem;
- background-size: 100% 100%;
- background-position: center;
- background-repeat: no-repeat;
-}
-
-#overlay,
-canvas {
- position: absolute;
- width: 100%;
- height: 100%;
-}
-
-#status {
- min-height: 16px;
- margin: 8px 0;
-}
-
-.bounding-box {
- position: absolute;
- box-sizing: border-box;
- border: solid 2px;
-}
-
-.bounding-box-label {
- color: white;
- position: absolute;
- font-size: 12px;
- margin: -16px 0 0 -2px;
- padding: 1px;
-}
-
-#video, #canvas {
- display: none;
-}
diff --git a/examples/webgpu-video-background-removal/vite.config.js b/examples/webgpu-video-background-removal/vite.config.js
deleted file mode 100644
index 6c32f52df..000000000
--- a/examples/webgpu-video-background-removal/vite.config.js
+++ /dev/null
@@ -1,6 +0,0 @@
-import { defineConfig } from 'vite';
-export default defineConfig({
- build: {
- target: 'esnext'
- }
-});
diff --git a/examples/webgpu-video-depth-estimation/.gitignore b/examples/webgpu-video-depth-estimation/.gitignore
deleted file mode 100644
index a547bf36d..000000000
--- a/examples/webgpu-video-depth-estimation/.gitignore
+++ /dev/null
@@ -1,24 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
diff --git a/examples/webgpu-video-depth-estimation/index.html b/examples/webgpu-video-depth-estimation/index.html
deleted file mode 100644
index c05574f67..000000000
--- a/examples/webgpu-video-depth-estimation/index.html
+++ /dev/null
@@ -1,42 +0,0 @@
-
-
-
-
-
-
-
-
- ()
-
- -
- - -
-
- ()
-
- -
- - -
- Real-time depth estimation w/ - Depth Anything V2 -
-- Runs locally in your browser, powered by - 🤗 Transformers.js -
-
-
-
-
-
-
-
-
-
-
-
-
\ No newline at end of file
diff --git a/examples/webgpu-video-depth-estimation/main.js b/examples/webgpu-video-depth-estimation/main.js
deleted file mode 100644
index a745da774..000000000
--- a/examples/webgpu-video-depth-estimation/main.js
+++ /dev/null
@@ -1,145 +0,0 @@
-import './style.css';
-
-import { AutoModel, AutoProcessor, RawImage } from '@xenova/transformers';
-
-async function hasFp16() {
- try {
- const adapter = await navigator.gpu.requestAdapter()
- return adapter.features.has('shader-f16')
- } catch (e) {
- return false
- }
-}
-
-// Reference the elements that we will need
-const status = document.getElementById('status');
-const canvas = document.createElement('canvas');
-const outputCanvas = document.getElementById('output-canvas');
-const video = document.getElementById('video');
-const sizeSlider = document.getElementById('size');
-const sizeLabel = document.getElementById('size-value');
-const scaleSlider = document.getElementById('scale');
-const scaleLabel = document.getElementById('scale-value');
-
-function setStreamSize(width, height) {
- video.width = outputCanvas.width = canvas.width = Math.round(width);
- video.height = outputCanvas.height = canvas.height = Math.round(height);
-}
-
-status.textContent = 'Loading model...';
-
-// Load model and processor
-const model_id = 'onnx-community/depth-anything-v2-small';
-
-let model;
-try {
- model = await AutoModel.from_pretrained(model_id, {
- device: 'webgpu',
- // Use fp16 if available, otherwise use fp32
- dtype: (await hasFp16()) ? 'fp16' : 'fp32',
- });
-} catch (err) {
- status.textContent = err.message;
- alert(err.message)
- throw err;
-}
-
-const processor = await AutoProcessor.from_pretrained(model_id);
-
-// Set up controls
-let size = 504;
-processor.feature_extractor.size = { width: size, height: size };
-sizeSlider.addEventListener('input', () => {
- size = Number(sizeSlider.value);
- processor.feature_extractor.size = { width: size, height: size };
- sizeLabel.textContent = size;
-});
-sizeSlider.disabled = false;
-
-let scale = 0.4;
-scaleSlider.addEventListener('input', () => {
- scale = Number(scaleSlider.value);
- setStreamSize(video.videoWidth * scale, video.videoHeight * scale);
- scaleLabel.textContent = scale;
-});
-scaleSlider.disabled = false;
-
-status.textContent = 'Ready';
-
-let isProcessing = false;
-let previousTime;
-const context = canvas.getContext('2d', { willReadFrequently: true });
-const outputContext = outputCanvas.getContext('2d', { willReadFrequently: true });
-function updateCanvas() {
- const { width, height } = canvas;
-
- if (!isProcessing) {
- isProcessing = true;
- (async function () {
- // Read the current frame from the video
- context.drawImage(video, 0, 0, width, height);
- const currentFrame = context.getImageData(0, 0, width, height);
- const image = new RawImage(currentFrame.data, width, height, 4);
-
- // Pre-process image
- const inputs = await processor(image);
-
- // Predict depth map
- const { predicted_depth } = await model(inputs);
- const data = predicted_depth.data;
- const [bs, oh, ow] = predicted_depth.dims;
-
- // Normalize the depth map
- let min = Infinity;
- let max = -Infinity;
- outputCanvas.width = ow;
- outputCanvas.height = oh;
- for (let i = 0; i < data.length; ++i) {
- const v = data[i];
- if (v < min) min = v;
- if (v > max) max = v;
- }
- const range = max - min;
-
- const imageData = new Uint8ClampedArray(4 * data.length);
- for (let i = 0; i < data.length; ++i) {
- const offset = 4 * i;
- imageData[offset] = 255; // Set base color to red
-
- // Set alpha to normalized depth value
- imageData[offset + 3] = 255 * (1 - (data[i] - min) / range);
- }
- const outPixelData = new ImageData(imageData, ow, oh);
- outputContext.putImageData(outPixelData, 0, 0);
-
- if (previousTime !== undefined) {
- const fps = 1000 / (performance.now() - previousTime);
- status.textContent = `FPS: ${fps.toFixed(2)}`;
- }
- previousTime = performance.now();
-
- isProcessing = false;
- })();
- }
-
- window.requestAnimationFrame(updateCanvas);
-}
-
-// Start the video stream
-navigator.mediaDevices.getUserMedia(
- { video: { width: 720, height: 720 } }, // Ask for square video
-).then((stream) => {
- // Set up the video and canvas elements.
- video.srcObject = stream;
- video.play();
-
- const videoTrack = stream.getVideoTracks()[0];
- const { width, height } = videoTrack.getSettings();
-
- setStreamSize(width * scale, height * scale);
-
- // Start the animation loop
- setTimeout(updateCanvas, 50);
-}).catch((error) => {
- alert(error);
-});
diff --git a/examples/webgpu-video-depth-estimation/package.json b/examples/webgpu-video-depth-estimation/package.json
deleted file mode 100644
index 041dd86e0..000000000
--- a/examples/webgpu-video-depth-estimation/package.json
+++ /dev/null
@@ -1,17 +0,0 @@
-{
- "name": "webgpu-video-depth-estimation",
- "private": true,
- "version": "0.0.0",
- "type": "module",
- "scripts": {
- "dev": "vite",
- "build": "vite build",
- "preview": "vite preview"
- },
- "devDependencies": {
- "vite": "^5.2.0"
- },
- "dependencies": {
- "@xenova/transformers": "github:xenova/transformers.js#v3"
- }
-}
diff --git a/examples/webgpu-video-depth-estimation/style.css b/examples/webgpu-video-depth-estimation/style.css
deleted file mode 100644
index bd4796b95..000000000
--- a/examples/webgpu-video-depth-estimation/style.css
+++ /dev/null
@@ -1,71 +0,0 @@
-* {
- box-sizing: border-box;
- padding: 0;
- margin: 0;
- font-family: sans-serif;
-}
-
-html,
-body {
- height: 100%;
-}
-
-body {
- padding: 16px 32px;
-}
-
-body,
-#container {
- display: flex;
- flex-direction: column;
- justify-content: center;
- align-items: center;
-}
-
-#controls {
- display: flex;
- padding: 1rem;
- gap: 1rem;
-}
-
-#controls>div {
- text-align: center;
-}
-
-h1,
-h3 {
- text-align: center;
-}
-
-h3 {
- margin-top: 0.5rem;
-}
-
-#container {
- display: flex;
- flex-direction: row;
- position: relative;
- max-width: 100%;
- max-height: 100%;
- border: 2px dashed #D1D5DB;
- border-radius: 0.75rem;
- overflow: hidden;
- margin-top: 1rem;
- background-size: 100% 100%;
- background-position: center;
- background-repeat: no-repeat;
-}
-#video, #output-canvas {
- width: 504px;
- height: 504px;
-}
-
-canvas {
- width: 100%;
- height: 100%;
-}
-
-#status {
- min-height: 16px;
- margin: 8px 0;
-}
diff --git a/examples/webgpu-video-depth-estimation/vite.config.js b/examples/webgpu-video-depth-estimation/vite.config.js
deleted file mode 100644
index 6c32f52df..000000000
--- a/examples/webgpu-video-depth-estimation/vite.config.js
+++ /dev/null
@@ -1,6 +0,0 @@
-import { defineConfig } from 'vite';
-export default defineConfig({
- build: {
- target: 'esnext'
- }
-});
diff --git a/examples/webgpu-whisper/.eslintrc.cjs b/examples/webgpu-whisper/.eslintrc.cjs
deleted file mode 100644
index ce8fffe57..000000000
--- a/examples/webgpu-whisper/.eslintrc.cjs
+++ /dev/null
@@ -1,21 +0,0 @@
-module.exports = {
- root: true,
- env: { browser: true, es2020: true },
- extends: [
- 'eslint:recommended',
- 'plugin:react/recommended',
- 'plugin:react/jsx-runtime',
- 'plugin:react-hooks/recommended',
- ],
- ignorePatterns: ['dist', '.eslintrc.cjs'],
- parserOptions: { ecmaVersion: 'latest', sourceType: 'module' },
- settings: { react: { version: '18.2' } },
- plugins: ['react-refresh'],
- rules: {
- 'react-refresh/only-export-components': [
- 'warn',
- { allowConstantExport: true },
- ],
- 'react/prop-types': 'off'
- },
-}
diff --git a/examples/webgpu-whisper/.gitignore b/examples/webgpu-whisper/.gitignore
deleted file mode 100644
index a547bf36d..000000000
--- a/examples/webgpu-whisper/.gitignore
+++ /dev/null
@@ -1,24 +0,0 @@
-# Logs
-logs
-*.log
-npm-debug.log*
-yarn-debug.log*
-yarn-error.log*
-pnpm-debug.log*
-lerna-debug.log*
-
-node_modules
-dist
-dist-ssr
-*.local
-
-# Editor directories and files
-.vscode/*
-!.vscode/extensions.json
-.idea
-.DS_Store
-*.suo
-*.ntvs*
-*.njsproj
-*.sln
-*.sw?
diff --git a/examples/webgpu-whisper/README.md b/examples/webgpu-whisper/README.md
deleted file mode 100644
index f768e33fc..000000000
--- a/examples/webgpu-whisper/README.md
+++ /dev/null
@@ -1,8 +0,0 @@
-# React + Vite
-
-This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
-
-Currently, two official plugins are available:
-
-- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react/README.md) uses [Babel](https://babeljs.io/) for Fast Refresh
-- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
diff --git a/examples/webgpu-whisper/index.html b/examples/webgpu-whisper/index.html
deleted file mode 100644
index da24b23cb..000000000
--- a/examples/webgpu-whisper/index.html
+++ /dev/null
@@ -1,13 +0,0 @@
-
-
-
-
-
-
-
-
- ()
-
- -
- - -
-
- (px)
-
- -
- - -
- {(
-
)
- : (
-
- )}
-
- 
-
-
-
- Whisper WebGPU
-Real-time in-browser speech recognition
-
- {status === null && (<>
-
-
-
- You are about to load whisper-base,
- a 73 million parameter speech recognition model that is optimized for inference on the web. Once downloaded, the model (~200 MB) will be cached and reused when you revisit the page.
-
- Everything runs directly in your browser using 🤗 Transformers.js and ONNX Runtime Web,
- meaning no data is sent to a server. You can even disconnect from the internet after the model has loaded!
-
-
- {status === 'ready' &&
-
}
-
- {text}
- {tps && {tps.toFixed(2)} tok/s} -
- {
- recorderRef.current?.stop();
- setLanguage(e);
- recorderRef.current?.start();
- }} />
-
-
- }
- {status === 'loading' && (
-
-
- )}
- {loadingMessage}
- {progressItems.map(({ file, progress, total }, i) => ( - - ))} -WebGPU is not supported
by this browser :(
)
- )
-}
-
-export default App
diff --git a/examples/webgpu-whisper/src/components/AudioVisualizer.jsx b/examples/webgpu-whisper/src/components/AudioVisualizer.jsx
deleted file mode 100644
index 5935a3e76..000000000
--- a/examples/webgpu-whisper/src/components/AudioVisualizer.jsx
+++ /dev/null
@@ -1,58 +0,0 @@
-import { useRef, useCallback, useEffect } from "react";
-
-export function AudioVisualizer({ stream, ...props }) {
- const canvasRef = useRef(null);
-
- const visualize = useCallback((stream) => {
- const audioContext = new (window.AudioContext || window.webkitAudioContext)();
- const source = audioContext.createMediaStreamSource(stream);
- const analyser = audioContext.createAnalyser();
- analyser.fftSize = 2048;
- source.connect(analyser);
-
- const canvas = canvasRef.current;
- const canvasCtx = canvas.getContext('2d');
- const bufferLength = analyser.frequencyBinCount;
- const dataArray = new Uint8Array(bufferLength);
-
- const drawVisual = () => {
- requestAnimationFrame(drawVisual);
- analyser.getByteTimeDomainData(dataArray);
-
- canvasCtx.fillStyle = 'rgb(255, 255, 255)';
- canvasCtx.fillRect(0, 0, canvas.width, canvas.height);
-
- canvasCtx.lineWidth = 2;
- canvasCtx.strokeStyle = 'rgb(0, 0, 0)';
- canvasCtx.beginPath();
-
- const sliceWidth = canvas.width * 1.0 / bufferLength;
-
- let x = 0;
- for (let i = 0; i < bufferLength; ++i) {
- const v = dataArray[i] / 128.0;
- const y = v * canvas.height / 2;
-
- if (i === 0) {
- canvasCtx.moveTo(x, y);
- } else {
- canvasCtx.lineTo(x, y);
- }
-
- x += sliceWidth;
- }
-
- canvasCtx.lineTo(canvas.width, canvas.height / 2);
- canvasCtx.stroke();
- };
-
- drawVisual();
- }, []);
-
- useEffect(() => {
- stream && visualize(stream);
- }, [visualize, stream]);
- return (
-
- )
-}
diff --git a/examples/webgpu-whisper/src/components/LanguageSelector.jsx b/examples/webgpu-whisper/src/components/LanguageSelector.jsx
deleted file mode 100644
index 9383d640e..000000000
--- a/examples/webgpu-whisper/src/components/LanguageSelector.jsx
+++ /dev/null
@@ -1,133 +0,0 @@
-
-function titleCase(str) {
- str = str.toLowerCase();
- return (str.match(/\w+.?/g) || [])
- .map((word) => {
- return word.charAt(0).toUpperCase() + word.slice(1);
- })
- .join("");
-}
-
-// List of supported languages:
-// https://help.openai.com/en/articles/7031512-whisper-api-faq
-// https://github.com/openai/whisper/blob/248b6cb124225dd263bb9bd32d060b6517e067f8/whisper/tokenizer.py#L79
-const LANGUAGES = {
- en: "english",
- zh: "chinese",
- de: "german",
- es: "spanish/castilian",
- ru: "russian",
- ko: "korean",
- fr: "french",
- ja: "japanese",
- pt: "portuguese",
- tr: "turkish",
- pl: "polish",
- ca: "catalan/valencian",
- nl: "dutch/flemish",
- ar: "arabic",
- sv: "swedish",
- it: "italian",
- id: "indonesian",
- hi: "hindi",
- fi: "finnish",
- vi: "vietnamese",
- he: "hebrew",
- uk: "ukrainian",
- el: "greek",
- ms: "malay",
- cs: "czech",
- ro: "romanian/moldavian/moldovan",
- da: "danish",
- hu: "hungarian",
- ta: "tamil",
- no: "norwegian",
- th: "thai",
- ur: "urdu",
- hr: "croatian",
- bg: "bulgarian",
- lt: "lithuanian",
- la: "latin",
- mi: "maori",
- ml: "malayalam",
- cy: "welsh",
- sk: "slovak",
- te: "telugu",
- fa: "persian",
- lv: "latvian",
- bn: "bengali",
- sr: "serbian",
- az: "azerbaijani",
- sl: "slovenian",
- kn: "kannada",
- et: "estonian",
- mk: "macedonian",
- br: "breton",
- eu: "basque",
- is: "icelandic",
- hy: "armenian",
- ne: "nepali",
- mn: "mongolian",
- bs: "bosnian",
- kk: "kazakh",
- sq: "albanian",
- sw: "swahili",
- gl: "galician",
- mr: "marathi",
- pa: "punjabi/panjabi",
- si: "sinhala/sinhalese",
- km: "khmer",
- sn: "shona",
- yo: "yoruba",
- so: "somali",
- af: "afrikaans",
- oc: "occitan",
- ka: "georgian",
- be: "belarusian",
- tg: "tajik",
- sd: "sindhi",
- gu: "gujarati",
- am: "amharic",
- yi: "yiddish",
- lo: "lao",
- uz: "uzbek",
- fo: "faroese",
- ht: "haitian creole/haitian",
- ps: "pashto/pushto",
- tk: "turkmen",
- nn: "nynorsk",
- mt: "maltese",
- sa: "sanskrit",
- lb: "luxembourgish/letzeburgesch",
- my: "myanmar/burmese",
- bo: "tibetan",
- tl: "tagalog",
- mg: "malagasy",
- as: "assamese",
- tt: "tatar",
- haw: "hawaiian",
- ln: "lingala",
- ha: "hausa",
- ba: "bashkir",
- jw: "javanese",
- su: "sundanese",
-};
-export function LanguageSelector({ language, setLanguage }) {
- const handleLanguageChange = (event) => {
- setLanguage(event.target.value);
- };
-
- const names = Object.values(LANGUAGES).map(titleCase);
-
- return (
-
- );
-}
\ No newline at end of file
diff --git a/examples/webgpu-whisper/src/components/Progress.jsx b/examples/webgpu-whisper/src/components/Progress.jsx
deleted file mode 100644
index 9ce024cc8..000000000
--- a/examples/webgpu-whisper/src/components/Progress.jsx
+++ /dev/null
@@ -1,15 +0,0 @@
-function formatBytes(size) {
- const i = size == 0 ? 0 : Math.floor(Math.log(size) / Math.log(1024));
- return +((size / Math.pow(1024, i)).toFixed(2)) * 1 + ['B', 'kB', 'MB', 'GB', 'TB'][i];
-}
-
-export default function Progress({ text, percentage, total }) {
- percentage ??= 0;
- return (
- by this browser :(
-
- );
-}
diff --git a/examples/webgpu-whisper/src/index.css b/examples/webgpu-whisper/src/index.css
deleted file mode 100644
index 8848bbd6d..000000000
--- a/examples/webgpu-whisper/src/index.css
+++ /dev/null
@@ -1,32 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer utilities {
- .scrollbar-thin::-webkit-scrollbar {
- @apply w-2;
- }
-
- .scrollbar-thin::-webkit-scrollbar-track {
- @apply rounded-full bg-gray-100 dark:bg-gray-700;
- }
-
- .scrollbar-thin::-webkit-scrollbar-thumb {
- @apply rounded-full bg-gray-300 dark:bg-gray-600;
- }
-
- .scrollbar-thin::-webkit-scrollbar-thumb:hover {
- @apply bg-gray-500;
- }
-
- .animation-delay-200 {
- animation-delay: 200ms;
- }
- .animation-delay-400 {
- animation-delay: 400ms;
- }
-
- .overflow-wrap-anywhere {
- overflow-wrap: anywhere;
- }
-}
diff --git a/examples/webgpu-whisper/src/main.jsx b/examples/webgpu-whisper/src/main.jsx
deleted file mode 100644
index 54b39dd1d..000000000
--- a/examples/webgpu-whisper/src/main.jsx
+++ /dev/null
@@ -1,10 +0,0 @@
-import React from 'react'
-import ReactDOM from 'react-dom/client'
-import App from './App.jsx'
-import './index.css'
-
-ReactDOM.createRoot(document.getElementById('root')).render(
-
- {text} ({percentage.toFixed(2)}%{isNaN(total) ? '' : ` of ${formatBytes(total)}`})
-
-
-
- {status === 'loading' && (
-
- )
-}
-
-export default App
diff --git a/examples/whisper-word-timestamps/src/components/LanguageSelector.jsx b/examples/whisper-word-timestamps/src/components/LanguageSelector.jsx
deleted file mode 100644
index 74c02a62a..000000000
--- a/examples/whisper-word-timestamps/src/components/LanguageSelector.jsx
+++ /dev/null
@@ -1,134 +0,0 @@
-
-function titleCase(str) {
- str = str.toLowerCase();
- return (str.match(/\w+.?/g) || [])
- .map((word) => {
- return word.charAt(0).toUpperCase() + word.slice(1);
- })
- .join("");
-}
-
-// List of supported languages:
-// https://help.openai.com/en/articles/7031512-whisper-api-faq
-// https://github.com/openai/whisper/blob/248b6cb124225dd263bb9bd32d060b6517e067f8/whisper/tokenizer.py#L79
-const LANGUAGES = {
- en: "english",
- zh: "chinese",
- de: "german",
- es: "spanish/castilian",
- ru: "russian",
- ko: "korean",
- fr: "french",
- ja: "japanese",
- pt: "portuguese",
- tr: "turkish",
- pl: "polish",
- ca: "catalan/valencian",
- nl: "dutch/flemish",
- ar: "arabic",
- sv: "swedish",
- it: "italian",
- id: "indonesian",
- hi: "hindi",
- fi: "finnish",
- vi: "vietnamese",
- he: "hebrew",
- uk: "ukrainian",
- el: "greek",
- ms: "malay",
- cs: "czech",
- ro: "romanian/moldavian/moldovan",
- da: "danish",
- hu: "hungarian",
- ta: "tamil",
- no: "norwegian",
- th: "thai",
- ur: "urdu",
- hr: "croatian",
- bg: "bulgarian",
- lt: "lithuanian",
- la: "latin",
- mi: "maori",
- ml: "malayalam",
- cy: "welsh",
- sk: "slovak",
- te: "telugu",
- fa: "persian",
- lv: "latvian",
- bn: "bengali",
- sr: "serbian",
- az: "azerbaijani",
- sl: "slovenian",
- kn: "kannada",
- et: "estonian",
- mk: "macedonian",
- br: "breton",
- eu: "basque",
- is: "icelandic",
- hy: "armenian",
- ne: "nepali",
- mn: "mongolian",
- bs: "bosnian",
- kk: "kazakh",
- sq: "albanian",
- sw: "swahili",
- gl: "galician",
- mr: "marathi",
- pa: "punjabi/panjabi",
- si: "sinhala/sinhalese",
- km: "khmer",
- sn: "shona",
- yo: "yoruba",
- so: "somali",
- af: "afrikaans",
- oc: "occitan",
- ka: "georgian",
- be: "belarusian",
- tg: "tajik",
- sd: "sindhi",
- gu: "gujarati",
- am: "amharic",
- yi: "yiddish",
- lo: "lao",
- uz: "uzbek",
- fo: "faroese",
- ht: "haitian creole/haitian",
- ps: "pashto/pushto",
- tk: "turkmen",
- nn: "nynorsk",
- mt: "maltese",
- sa: "sanskrit",
- lb: "luxembourgish/letzeburgesch",
- my: "myanmar/burmese",
- bo: "tibetan",
- tl: "tagalog",
- mg: "malagasy",
- as: "assamese",
- tt: "tatar",
- haw: "hawaiian",
- ln: "lingala",
- ha: "hausa",
- ba: "bashkir",
- jw: "javanese",
- su: "sundanese",
-};
-function LanguageSelector({ language, setLanguage, ...props }) {
- const handleLanguageChange = (event) => {
- setLanguage(event.target.value);
- };
-
- const names = Object.values(LANGUAGES).map(titleCase);
-
- return (
-
- );
-}
-export default LanguageSelector
diff --git a/examples/whisper-word-timestamps/src/components/MediaInput.jsx b/examples/whisper-word-timestamps/src/components/MediaInput.jsx
deleted file mode 100644
index 4bf7afcb6..000000000
--- a/examples/whisper-word-timestamps/src/components/MediaInput.jsx
+++ /dev/null
@@ -1,194 +0,0 @@
-import { useState, forwardRef, useRef, useImperativeHandle, useEffect, useCallback } from 'react';
-
-const EXAMPLE_URL = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/whisper-timestamps-demo.mp4';
-
-const MediaInput = forwardRef(({ onInputChange, onTimeUpdate, ...props }, ref) => {
- // UI states
- const [dragging, setDragging] = useState(false);
- const fileInputRef = useRef(null);
-
- // Create a reference to the audio and video elements
- const audioElement = useRef(null);
- const videoElement = useRef(null);
-
- const currentTimeRef = useRef(0);
- useImperativeHandle(ref, () => ({
- setMediaTime(time) {
- if (audioElement.current?.src) {
- audioElement.current.currentTime = time;
- } else if (videoElement.current?.src) {
- videoElement.current.currentTime = time;
- }
- currentTimeRef.current = time;
- }
- }));
-
- const onBufferLoad = (arrayBuffer, type) => {
- const blob = new Blob([arrayBuffer.slice(0)], { type: type });
- const url = URL.createObjectURL(blob);
- processFile(arrayBuffer);
-
- // Create a URL for the Blob
- if (type.startsWith('audio/')) {
- // Dispose the previous source
- videoElement.current.pause();
- videoElement.current.removeAttribute('src');
- videoElement.current.load();
-
- audioElement.current.src = url;
- } else if (type.startsWith('video/')) {
- // Dispose the previous source
- audioElement.current.pause();
- audioElement.current.removeAttribute('src');
- audioElement.current.load();
-
- videoElement.current.src = url;
- } else {
- alert(`Unsupported file type: ${type}`);
- }
- }
-
- const readFile = (file) => {
- if (!file) return;
-
- // file.type
- const reader = new FileReader();
- reader.onload = (e) => {
- onBufferLoad(e.target.result, file.type);
- }
- reader.readAsArrayBuffer(file);
- }
-
- const handleInputChange = (event) => {
- readFile(event.target.files[0]);
- };
-
- const handleDragOver = (event) => {
- event.preventDefault();
- };
-
- const handleDrop = (event) => {
- event.preventDefault();
- setDragging(false);
- readFile(event.dataTransfer.files[0]);
- };
-
- const handleClick = (e) => {
- if (e.target.tagName === 'VIDEO' || e.target.tagName === 'AUDIO') {
- e.preventDefault();
- fileInputRef.current.click();
- } else if (e.target.tagName === 'INPUT') {
- e.stopPropagation();
- } else {
- fileInputRef.current.click();
- e.stopPropagation();
- }
- };
-
- const processFile = async (buffer) => {
- const audioContext = new (window.AudioContext || window.webkitAudioContext)({ sampleRate: 16_000 });
-
- try {
- const audioBuffer = await audioContext.decodeAudioData(buffer);
- let audio;
- if (audioBuffer.numberOfChannels === 2) {
- // Merge channels
- const SCALING_FACTOR = Math.sqrt(2);
- const left = audioBuffer.getChannelData(0);
- const right = audioBuffer.getChannelData(1);
- audio = new Float32Array(left.length);
- for (let i = 0; i < audioBuffer.length; ++i) {
- audio[i] = SCALING_FACTOR * (left[i] + right[i]) / 2;
- }
- } else {
- audio = audioBuffer.getChannelData(0);
- }
- onInputChange(audio);
-
- } catch (e) {
- alert(e);
- }
- };
-
- const requestRef = useRef();
-
- const updateTime = useCallback(() => {
- let elem;
- if (audioElement.current?.src) {
- elem = audioElement.current;
-
- } else if (videoElement.current?.src) {
- elem = videoElement.current;
- }
-
- if (elem && currentTimeRef.current !== elem.currentTime) {
- currentTimeRef.current = elem.currentTime;
- onTimeUpdate(elem.currentTime);
- }
-
- // Request the next frame
- requestRef.current = requestAnimationFrame(updateTime);
- }, [onTimeUpdate]);
-
- useEffect(() => {
- // Start the animation
- requestRef.current = requestAnimationFrame(updateTime);
-
- return () => {
- // Cleanup on component unmount
- cancelAnimationFrame(requestRef.current);
- };
- }, [updateTime]);
- return (
-
-
- )}
-
-
- {loadingMessage}
- {progressItems.map(({ file, progress, total }, i) => ( - - ))} -
-
-
-
-
-
- Whisper Timestamped
-In-browser speech recognition w/ word-level timestamps
-
- {
- !audio && (
-
-
- You are about to download whisper-base (timestamped),
- a 73 million parameter speech recognition model with the ability to generate word-level timestamps across 100 different languages.
- Once loaded, the model ({modelSize} MB) will be cached and reused when you revisit the page.
-
- Everything runs locally in your browser using 🤗 Transformers.js and ONNX Runtime Web,
- meaning no API calls are made to a server for inference. You can even disconnect from the internet after the model has loaded!
-
- Input audio/video
- setAudio(result)}
- onTimeUpdate={(time) => setCurrentTime(time)}
- />
-
-
-
-
-
- {status !== null &&
-
-
- {
- result && time && (
- <>
-
- Language:
-
-
- }
- -
- {
- setCurrentTime(time);
- mediaInputRef.current.setMediaTime(time);
- }}
- />
-
- Generation time: {time.toFixed(2)}ms
- - ) - - - } - setDragging(true)}
- onDragLeave={(e) => setDragging(false)}
- >
-
- {
-
- }
- {
-
- }
- {
- !audioElement.current?.src && !videoElement.current?.src && (
-
- );
-});
-MediaInput.displayName = 'MediaInput';
-
-export default MediaInput;
diff --git a/examples/whisper-word-timestamps/src/components/Progress.jsx b/examples/whisper-word-timestamps/src/components/Progress.jsx
deleted file mode 100644
index 9ce024cc8..000000000
--- a/examples/whisper-word-timestamps/src/components/Progress.jsx
+++ /dev/null
@@ -1,15 +0,0 @@
-function formatBytes(size) {
- const i = size == 0 ? 0 : Math.floor(Math.log(size) / Math.log(1024));
- return +((size / Math.pow(1024, i)).toFixed(2)) * 1 + ['B', 'kB', 'MB', 'GB', 'TB'][i];
-}
-
-export default function Progress({ text, percentage, total }) {
- percentage ??= 0;
- return (
-
- Drag & drop or click
to select media - { - e.stopPropagation(); - const buffer = await fetch(EXAMPLE_URL).then((r) => r.arrayBuffer()); - videoElement.current.src = URL.createObjectURL(new Blob([buffer], { type: 'video/mp4' })); - onBufferLoad(buffer, 'video/mp4'); - }}>(or try an example) -
- )
- }
- to select media - { - e.stopPropagation(); - const buffer = await fetch(EXAMPLE_URL).then((r) => r.arrayBuffer()); - videoElement.current.src = URL.createObjectURL(new Blob([buffer], { type: 'video/mp4' })); - onBufferLoad(buffer, 'video/mp4'); - }}>(or try an example) -
-
- );
-}
diff --git a/examples/whisper-word-timestamps/src/components/Transcript.jsx b/examples/whisper-word-timestamps/src/components/Transcript.jsx
deleted file mode 100644
index 542014323..000000000
--- a/examples/whisper-word-timestamps/src/components/Transcript.jsx
+++ /dev/null
@@ -1,68 +0,0 @@
-import { useMemo } from "react";
-
-const Chunk = ({ chunk, currentTime, onClick, ...props }) => {
- const { text, timestamp } = chunk;
- const [start, end] = timestamp;
-
- const bolded = start <= currentTime && currentTime < end;
-
- return (
-
- {text.startsWith(' ') ? " " : ""}
- x.toFixed(2)).join(' → ')}
- style={{
- textDecoration: bolded ? 'underline' : 'none',
- textShadow: bolded ? '0 0 1px #000' : 'none',
- }}
- >{text.trim()}
-
- )
-}
-
-const Transcript = ({ transcript, currentTime, setCurrentTime, ...props }) => {
-
-
- const jsonTranscript = useMemo(() => {
- return JSON.stringify(transcript, null, 2)
- // post-process the JSON to make it more readable
- .replace(/( {4}"timestamp": )\[\s+(\S+)\s+(\S+)\s+\]/gm, "$1[$2 $3]");
- }, [transcript]);
-
- const downloadTranscript = () => {
- const blob = new Blob([jsonTranscript], { type: 'application/json' });
- const url = URL.createObjectURL(blob);
- const a = document.createElement('a');
- a.href = url;
- a.download = 'transcript.json';
- a.click();
- URL.revokeObjectURL(url);
- }
-
- return (<>
-
- {text} ({percentage.toFixed(2)}%{isNaN(total) ? '' : ` of ${formatBytes(total)}`})
-
-
- {
- transcript.chunks.map((chunk, i) => {
- setCurrentTime(chunk.timestamp[0]) // Set to start of chunk
- }} />)
- }
-
-
-
-
-
-
-
- )
-};
-export default Transcript;
diff --git a/examples/whisper-word-timestamps/src/index.css b/examples/whisper-word-timestamps/src/index.css
deleted file mode 100644
index 87bbb9dac..000000000
--- a/examples/whisper-word-timestamps/src/index.css
+++ /dev/null
@@ -1,25 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-@layer utilities {
- .scrollbar-thin::-webkit-scrollbar {
- @apply w-2;
- }
-
- .scrollbar-thin::-webkit-scrollbar-track {
- @apply rounded-full bg-gray-100 dark:bg-gray-700;
- }
-
- .scrollbar-thin::-webkit-scrollbar-thumb {
- @apply rounded-full bg-gray-300 dark:bg-gray-600;
- }
-
- .scrollbar-thin::-webkit-scrollbar-thumb:hover {
- @apply bg-gray-500;
- }
-}
-
-html {
- @apply scrollbar-thin;
-}
\ No newline at end of file
diff --git a/examples/whisper-word-timestamps/src/main.jsx b/examples/whisper-word-timestamps/src/main.jsx
deleted file mode 100644
index 54b39dd1d..000000000
--- a/examples/whisper-word-timestamps/src/main.jsx
+++ /dev/null
@@ -1,10 +0,0 @@
-import React from 'react'
-import ReactDOM from 'react-dom/client'
-import App from './App.jsx'
-import './index.css'
-
-ReactDOM.createRoot(document.getElementById('root')).render(
-
-
-
- )
-}
-
-export default App
diff --git a/examples/zero-shot-classification/src/index.css b/examples/zero-shot-classification/src/index.css
deleted file mode 100644
index b5c61c956..000000000
--- a/examples/zero-shot-classification/src/index.css
+++ /dev/null
@@ -1,3 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
diff --git a/examples/zero-shot-classification/src/main.jsx b/examples/zero-shot-classification/src/main.jsx
deleted file mode 100644
index 54b39dd1d..000000000
--- a/examples/zero-shot-classification/src/main.jsx
+++ /dev/null
@@ -1,10 +0,0 @@
-import React from 'react'
-import ReactDOM from 'react-dom/client'
-import App from './App.jsx'
-import './index.css'
-
-ReactDOM.createRoot(document.getElementById('root')).render(
-
-
-
-
-
-
-
-
-
-
- {sections.map((section, index) => (
-
-
- {
- setSections((sections) => {
- const newSections = [...sections];
- newSections[index].title = e.target.value;
- return newSections;
- })
- }}>
-
- ))}
-
- {section.items.map((item, index) => (
-
- {item}
-
- ))}
-