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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<title>Translation - huggingface.js</title> |
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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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<link rel="stylesheet" href="css/styles.css"> |
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</head> |
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<body> |
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<div class="container-main"> |
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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 class="container mt-5"> |
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<div class="text-center"> |
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<h2>Natural Language Processing</h2> |
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<h4>Translation</h4> |
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</div> |
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<form id="hf-form"> |
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<input |
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type="text" |
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style="display:none" |
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autocomplete="username" |
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value="user" |
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/> |
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<div> |
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<label for="hf-token">Hugging Face Token (optional but limited if absent)</label> |
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<input |
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id="hf-token" |
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placeholder="HF-TOKEN" |
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type="password" |
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autocomplete="new-password" |
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/> |
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</div> |
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<div id="translation-container" class="container mt-4"> |
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<h5>Translation w/ Xenova/t5-base:</h5> |
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<div class="d-flex align-items-center"> |
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<label for="translationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to |
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Translate:</label> |
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<input type="text" class="form-control flex-grow-1" id="translationText2" value="My name is Wolfgang and I live in Amsterdam" |
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placeholder="Enter text" style="margin-right: 15px; margin-left: 15px;"> |
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<button id="translateButton2" class="btn btn-primary">Translate</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="outputArea2"></pre> |
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</div> |
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</div> |
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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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</form> |
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<script type="module"> |
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import { HfInference } from 'https://cdn.jsdelivr.net/npm/@huggingface/inference@2.6.4/+esm'; |
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let hf; |
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async function initializeModel() { |
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const token = document.getElementById("hf-token").value; |
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console.log("TOKEN: ", token); |
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hf = new HfInference(); |
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} |
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async function translateText() { |
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if (!hf) { |
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console.error("HfInference is not initialized."); |
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return; |
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} |
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const textFieldValue = document.getElementById("translationText2").value.trim(); |
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console.log(textFieldValue) |
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try { |
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const result = await hf.translation({ |
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model: 't5-base', |
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inputs: textFieldValue, |
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}); |
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document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); |
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} catch (error) { |
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console.error("Error during translation:", error); |
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} |
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} |
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window.addEventListener("DOMContentLoaded", (event) => { |
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initializeModel(); |
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document.getElementById("translateButton2").addEventListener("click", translateText); |
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}); |
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</script> |
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</body> |
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</html> |
