<!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <title>Zero Shot Classification - Hugging Face Transformers.js</title> <script type="module"> // Import the library import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4'; // Make it available globally window.pipeline = pipeline; </script> <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/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>Zero Shot Classification</h4> </div> <!-- Actual Content of this page --> <div id="zero-shot-classification-container" class="container mt-4"> <h5>Zero Shot Classification with Xenova/mobilebert-uncased-mnli:</h5> <div class="d-flex align-items-center mb-2"> <label for="textText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label> <input type="text" class="form-control flex-grow-1" id="textText" value="Last week I upgraded my iOS version and ever since then my phone has been overheating whenever I use your app." placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> </div> <div class="d-flex align-items-center"> <label for="labelsText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label> <input type="text" class="form-control flex-grow-1" id="labelsText" value="mobile, billing, website, account access" placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;"> <button id="classifyButton" class="btn btn-primary ml-2" onclick="classifyText()">Classify</button> </div> <div class="mt-4"> <h4>Output:</h4> <pre id="outputArea"></pre> </div> </div> <hr> <!-- Line Separator --> <div id="zero-shot-classification-container-multi" class="container mt-4"> <h5>Zero Shot Classification with Xenova/nli-deberta-v3-xsmall (Multi-Label):</h5> <div class="d-flex align-items-center mb-2"> <label for="textTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label> <input type="text" class="form-control flex-grow-1" id="textTextMulti" value="I have a problem with my iphone that needs to be resolved asap!" placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> </div> <div class="d-flex align-items-center"> <label for="labelsTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label> <input type="text" class="form-control flex-grow-1" id="labelsTextMulti" value="urgent, not urgent, phone, tablet, computer" placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;"> <button id="classifyButtonMulti" class="btn btn-primary ml-2" onclick="classifyTextMulti()">Classify</button> </div> <div class="mt-4"> <h4>Output:</h4> <pre id="outputAreaMulti"></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; let classifierMulti; // Initialize the sentiment analysis model async function initializeModel() { classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli'); classifierMulti = await pipeline('zero-shot-classification', 'Xenova/nli-deberta-v3-xsmall'); } async function classifyText() { const text = document.getElementById("textText").value.trim(); const labels = document.getElementById("labelsText").value.trim().split(",").map(item => item.trim()); const result = await classifier(text, labels); document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); } async function classifyTextMulti() { const text = document.getElementById("textTextMulti").value.trim(); const labels = document.getElementById("labelsTextMulti").value.trim().split(",").map(item => item.trim()); const result = await classifierMulti(text, labels, { multi_label: true }); document.getElementById("outputAreaMulti").innerText = JSON.stringify(result, null, 2); } // Initialize the model after the DOM is completely loaded window.addEventListener("DOMContentLoaded", initializeModel); </script> </body> </html>