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<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Translation - huggingface.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"> | |
<!-- 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>Translation</h4> | |
</div> | |
<!-- Actual Content of this page --> | |
<div id="translation-container" class="container mt-4"> | |
<h5>Multilingual Translation w/ Xenova/m2m100_418M:</h5> | |
<div class="d-flex align-items-center"> | |
<label for="translationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to | |
Translate:</label> | |
<input type="text" class="form-control flex-grow-1" id="translationText2" value="My name is Wolfgang and I live in Amsterdam" | |
placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> | |
<button id="translateButton2" class="btn btn-primary" onclick="translateText()">Translate</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 type="module"> | |
import { HfInference } from 'https://cdn.jsdelivr.net/npm/@huggingface/inference@2.6.4/+esm'; | |
// Initialize the sentiment analysis model | |
async function initializeModel() { | |
const token = document.getElementById('hf-token').value; | |
const hf = new HfInference(token); | |
} | |
async function translateText() { | |
const textFieldValue = document.getElementById("translationText").value.trim(); | |
let result = await hf.translation({ | |
model: 't5-base', | |
inputs: textFieldValue, | |
}); | |
document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
} | |
/* | |
document.getElementById('hf-form').addEventListener('submit', async (event) => { | |
event.preventDefault(); | |
// You can also omit "model" to use the recommended model for the task | |
let result = await hf.translation({ | |
model: 't5-base', | |
inputs: textFieldValue, | |
document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
}); | |
console.log(result); | |
}); | |
*/ | |
// Initialize the model after the DOM is completely loaded | |
window.addEventListener("DOMContentLoaded", initializeModel); | |
</script> | |
</body> | |
</html> |