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Upload mask_word.html
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pages/transformers/mask_word.html
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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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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Mask Word Transformer</title>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">
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</head>
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<body class="container mt-5">
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<h2 class="mb-4">Mask Word Transformer</h2>
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<form id="maskForm">
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<div class="form-group">
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<label for="inputText">Enter Text:</label>
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<input type="text" id="inputText" class="form-control" placeholder="Type your text here" required>
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</div>
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<button type="submit" class="btn btn-primary">Mask Words</button>
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</form>
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<h4 class="mt-4">Transformed Text:</h4>
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<p id="outputText" class="border p-3"></p>
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<script>
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document.getElementById('maskForm').addEventListener('submit', async function(event) {
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event.preventDefault();
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const inputText = document.getElementById('inputText').value;
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const response = await fetch('https://api-inference.huggingface.co/models/google-bert/bert-base-uncased', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'Authorization': 'Bearer {HF_TOKEN}'
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},
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body: JSON.stringify({ inputs: inputText })
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});
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const data = await response.json();
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if (Array.isArray(data) && data.length > 0) {
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document.getElementById('outputText').innerText = data[0].sequence;
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} else {
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document.getElementById('outputText').innerText = 'No result found';
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}
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});
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</script>
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</body>
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</html>
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