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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Token Classification - Hugging Face Transformers.js</title> | |
| <script type="module"> | |
| // Import the library | |
| import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/[email protected]'; | |
| // Make it available globally | |
| window.pipeline = pipeline; | |
| </script> | |
| <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet"> | |
| <link rel="stylesheet" href="css/styles.css"> | |
| </head> | |
| <body> | |
| <div class="container-main"> | |
| <!-- Page Header --> | |
| <div class="header"> | |
| <div class="header-logo"> | |
| <img src="images/logo.png" alt="logo"> | |
| </div> | |
| <div class="header-main-text"> | |
| <h1>Hugging Face Transformers.js</h1> | |
| </div> | |
| <div class="header-sub-text"> | |
| <h3>Free AI Models for JavaScript Web Development</h3> | |
| </div> | |
| </div> | |
| <hr> <!-- Separator --> | |
| <!-- Back to Home button --> | |
| <div class="row mt-5"> | |
| <div class="col-md-12 text-center"> | |
| <a href="index.html" class="btn btn-outline-secondary" | |
| style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> | |
| </div> | |
| </div> | |
| <!-- Content --> | |
| <div class="container mt-5"> | |
| <!-- Centered Titles --> | |
| <div class="text-center"> | |
| <h2>Natural Language Processing</h2> | |
| <h4>Token Classification (Named Entity Recognition)</h4> | |
| </div> | |
| <!-- Actual Content of this page --> | |
| <div id="token-classification-container" class="container mt-4"> | |
| <h5>Perform Named Entity Recognition with Xenova/bert-base-NER:</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="tokenClassificationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Recognize:</label> | |
| <input type="text" class="form-control flex-grow-1" id="tokenClassificationText" | |
| value="My name is Sarah and I live in London" placeholder="Enter text" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="classifyButton" class="btn btn-primary" onclick="analyzeText()">analyze</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea"></pre> | |
| </div> | |
| </div> | |
| <hr> <!-- Line Separator --> | |
| <div id="token-classification-container2" class="container mt-4"> | |
| <h5>Perform Named Entity Recognition with Xenova/bert-base-NER (Return all Labels):</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="tokenClassificationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to Recognize:</label> | |
| <input type="text" class="form-control flex-grow-1" id="tokenClassificationText2" | |
| value="Sarah lives in the United States of America" placeholder="Enter text" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="classifyButton2" class="btn btn-primary" onclick="analyzeText2()">analyze</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea2"></pre> | |
| </div> | |
| </div> | |
| <!-- Back to Home button --> | |
| <div class="row mt-5"> | |
| <div class="col-md-12 text-center"> | |
| <a href="index.html" class="btn btn-outline-secondary" | |
| style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> | |
| </div> | |
| </div> | |
| </div> | |
| </div> | |
| <script> | |
| let classifier; | |
| // Initialize the sentiment analysis model | |
| async function initializeModel() { | |
| classifier = await pipeline('token-classification', 'Xenova/bert-base-NER'); | |
| } | |
| async function analyzeText() { | |
| const textFieldValue = document.getElementById("tokenClassificationText").value.trim(); | |
| const result = await classifier(textFieldValue); | |
| document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); | |
| } | |
| async function analyzeText2() { | |
| const textFieldValue = document.getElementById("tokenClassificationText2").value.trim(); | |
| const result = await classifier(textFieldValue, { ignore_labels: [] }); | |
| document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
| } | |
| // Initialize the model after the DOM is completely loaded | |
| window.addEventListener("DOMContentLoaded", initializeModel); | |
| </script> | |
| </body> | |
| </html> |