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<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/[email protected]'; | |
// Make it available globally | |
window.pipeline = pipeline; | |
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<div class="container-main"> | |
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<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> | |
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</div> | |
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style="color: #3c650b; border-color: #3c650b;">Back to Main Page</a> | |
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<div class="container mt-5"> | |
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<div class="text-center"> | |
<h2>Natural Language Processing</h2> | |
<h4>Zero Shot Classification</h4> | |
</div> | |
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<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> | |
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<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> | |
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</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> |