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| <html lang="en"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <title>Text Generation - 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; | |
| </script> | |
| <link href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css" rel="stylesheet"> | |
| <link rel="stylesheet" href="css/styles.css"> | |
| </head> | |
| <body> | |
| <div class="container-main"> | |
| <!-- Page Header --> | |
| <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> | |
| </div> | |
| </div> | |
| <hr> <!-- Separator --> | |
| <!-- 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>Text Generation</h4> | |
| </div> | |
| <!-- Actual Content of this page --> | |
| <div id="text-generation-container" class="container mt-4"> | |
| <h5>Text Generation with Xenova/distilgpt2 (Default Settings):</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="generationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to | |
| Generate:</label> | |
| <input type="text" class="form-control flex-grow-1" id="generationText" | |
| value="I enjoy walking with my cute dog," placeholder="Enter text" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="generateButton" class="btn btn-primary" onclick="generateText()">Generate</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea"></pre> | |
| </div> | |
| </div> | |
| <hr> <!-- Line Separator --> | |
| <div id="text-generation-container2" class="container mt-4"> | |
| <h5>Text Generation with Xenova/distilgpt2 (Custom Settings):</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="generationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to | |
| Generate:</label> | |
| <input type="text" class="form-control flex-grow-1" id="generationText2" | |
| value="Once upon a time, there was" placeholder="Enter text" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="generateButton2" class="btn btn-primary" onclick="generateText2()">Generate</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputArea2"></pre> | |
| </div> | |
| </div> | |
| <hr> <!-- Line Separator --> | |
| <div id="code-generation-container" class="container mt-4"> | |
| <h5>Code Generation with Xenova/codegen-350M-mono:</h5> | |
| <div class="d-flex align-items-center"> | |
| <label for="generationCode" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter code to | |
| Generate:</label> | |
| <input type="text" class="form-control flex-grow-1" id="generationCode" | |
| value="def fib(n):" placeholder="Enter code" | |
| style="margin-right: 15px; margin-left: 15px;"> | |
| <button id="generateCodeButton" class="btn btn-primary" onclick="generateCode()">Generate Code</button> | |
| </div> | |
| <div class="mt-4"> | |
| <h4>Output:</h4> | |
| <pre id="outputAreaCode"></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> | |
| let generator; | |
| let code_generator; | |
| // Initialize the sentiment analysis model | |
| async function initializeModel() { | |
| generator = await pipeline('text-generation', 'Xenova/distilgpt2'); | |
| code_generator = await pipeline('text-generation', 'Xenova/codegen-350M-mono'); | |
| } | |
| async function generateText() { | |
| const textFieldValue = document.getElementById("generationText").value.trim(); | |
| const result = await generator(textFieldValue); | |
| document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); | |
| } | |
| async function generateText2() { | |
| const textFieldValue = document.getElementById("generationText2").value.trim(); | |
| const result = await generator(textFieldValue, { | |
| temperature: 2, | |
| max_new_tokens: 20, | |
| repetition_penalty: 1.5, | |
| no_repeat_ngram_size: 2, | |
| num_beams: 2, | |
| num_return_sequences: 3, | |
| }); | |
| document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); | |
| } | |
| async function generateCode() { | |
| const textFieldValue = document.getElementById("generationCode").value.trim(); | |
| const result = await code_generator(textFieldValue); | |
| document.getElementById("outputAreaCode").innerText = JSON.stringify(result, null, 2); | |
| } | |
| // Initialize the model after the DOM is completely loaded | |
| window.addEventListener("DOMContentLoaded", initializeModel); | |
| </script> | |
| </body> | |
| </html> |