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+ <!DOCTYPE html>
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+ <html lang="en">
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+
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+ <head>
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+ <meta charset="UTF-8">
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+ <title>Zero Shot Classification - Hugging Face Transformers.js</title>
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+
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+ <script type="module">
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+ // Import the library
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+ import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4';
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+ // Make it available globally
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+ window.pipeline = pipeline;
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+ </script>
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+
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+ <link href="https://cdn.jsdelivr.net/npm/bootstrap@5.1.0/dist/css/bootstrap.min.css" rel="stylesheet">
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+
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+ <link rel="stylesheet" href="css/styles.css">
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+ </head>
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+
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+ <body>
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+ <div class="container-main">
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+
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+ <!-- Back to Home button -->
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+ <div class="row mt-5">
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+ <div class="col-md-12 text-center">
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+ <a href="index.html" class="btn btn-outline-secondary"
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+ style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
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+ </div>
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+ </div>
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+
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+ <!-- Content -->
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+ <div class="container mt-5">
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+ <!-- Centered Titles -->
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+ <div class="text-center">
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+ <h2>Natural Language Processing</h2>
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+ <h4>Zero Shot Classification</h4>
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+ </div>
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+
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+ <!-- Actual Content of this page -->
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+ <div id="zero-shot-classification-container" class="container mt-4">
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+ <h5>Zero Shot Classification with Xenova/mobilebert-uncased-mnli:</h5>
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+ <div class="d-flex align-items-center mb-2">
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+ <label for="textText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label>
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+ <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."
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+ placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
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+ </div>
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+ <div class="d-flex align-items-center">
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+ <label for="labelsText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label>
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+ <input type="text" class="form-control flex-grow-1" id="labelsText" value="mobile, billing, website, account access"
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+ placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;">
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+ <button id="classifyButton" class="btn btn-primary ml-2"
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+ onclick="classifyText()">Classify</button>
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+ </div>
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+ <div class="mt-4">
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+ <h4>Output:</h4>
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+ <pre id="outputArea"></pre>
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+ </div>
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+ </div>
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+
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+ <hr> <!-- Line Separator -->
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+
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+ <div id="zero-shot-classification-container-multi" class="container mt-4">
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+ <h5>Zero Shot Classification with Xenova/nli-deberta-v3-xsmall (Multi-Label):</h5>
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+ <div class="d-flex align-items-center mb-2">
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+ <label for="textTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text:</label>
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+ <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!"
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+ placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;">
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+ </div>
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+ <div class="d-flex align-items-center">
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+ <label for="labelsTextMulti" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Labels (comma separated):</label>
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+ <input type="text" class="form-control flex-grow-1" id="labelsTextMulti" value="urgent, not urgent, phone, tablet, computer"
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+ placeholder="Enter labels (comma separated)" style="margin-right: 15px; margin-left: 15px;">
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+ <button id="classifyButtonMulti" class="btn btn-primary ml-2"
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+ onclick="classifyTextMulti()">Classify</button>
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+ </div>
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+ <div class="mt-4">
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+ <h4>Output:</h4>
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+ <pre id="outputAreaMulti"></pre>
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+ </div>
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+ </div>
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+
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+ <!-- Back to Home button -->
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+ <div class="row mt-5">
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+ <div class="col-md-12 text-center">
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+ <a href="index.html" class="btn btn-outline-secondary"
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+ style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a>
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+ </div>
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+ </div>
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+ </div>
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+ </div>
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+
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+ <script>
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+ let classifier;
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+ let classifierMulti;
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+ // Initialize the sentiment analysis model
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+ async function initializeModel() {
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+ classifier = await pipeline('zero-shot-classification', 'Xenova/mobilebert-uncased-mnli');
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+ classifierMulti = await pipeline('zero-shot-classification', 'Xenova/nli-deberta-v3-xsmall');
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+ }
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+ async function classifyText() {
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+ const text = document.getElementById("textText").value.trim();
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+ const labels = document.getElementById("labelsText").value.trim().split(",").map(item => item.trim());
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+ const result = await classifier(text, labels);
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+ document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2);
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+ }
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+ async function classifyTextMulti() {
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+ const text = document.getElementById("textTextMulti").value.trim();
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+ const labels = document.getElementById("labelsTextMulti").value.trim().split(",").map(item => item.trim());
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+ const result = await classifierMulti(text, labels, { multi_label: true });
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+ document.getElementById("outputAreaMulti").innerText = JSON.stringify(result, null, 2);
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+ }
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+ // Initialize the model after the DOM is completely loaded
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+ window.addEventListener("DOMContentLoaded", initializeModel);
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+ </script>
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+ </body>
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+
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+ </html>