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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>Text Generation - Hugging Face Transformers.js</title> |
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<script type="module"> |
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import { pipeline } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.5.4'; |
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window.pipeline = pipeline; |
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</script> |
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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="header"> |
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<div class="header-logo"> |
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<img src="images/logo.png" alt="logo"> |
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</div> |
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<div class="header-main-text"> |
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<h1>Hugging Face Transformers.js</h1> |
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</div> |
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<div class="header-sub-text"> |
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<h3>Free AI Models for JavaScript Web Development</h3> |
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</div> |
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</div> |
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<hr> |
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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>Text Generation</h4> |
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</div> |
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<div id="text-generation-container" class="container mt-4"> |
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<h5>Text Generation with Xenova/distilgpt2 (Default Settings):</h5> |
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<div class="d-flex align-items-center"> |
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<label for="generationText" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to |
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Generate:</label> |
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<input type="text" class="form-control flex-grow-1" id="generationText" |
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value="I enjoy walking with my cute dog," placeholder="Enter text" |
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style="margin-right: 15px; margin-left: 15px;"> |
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<button id="generateButton" class="btn btn-primary" onclick="generateText()">Generate</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="outputArea"></pre> |
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</div> |
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</div> |
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<hr> |
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<div id="text-generation-container2" class="container mt-4"> |
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<h5>Text Generation with Xenova/distilgpt2 (Custom Settings):</h5> |
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<div class="d-flex align-items-center"> |
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<label for="generationText2" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter Text to |
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Generate:</label> |
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<input type="text" class="form-control flex-grow-1" id="generationText2" |
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value="Once upon a time, there was" placeholder="Enter text" |
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style="margin-right: 15px; margin-left: 15px;"> |
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<button id="generateButton2" class="btn btn-primary" onclick="generateText2()">Generate</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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<hr> |
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<div id="code-generation-container" class="container mt-4"> |
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<h5>Code Generation with Xenova/codegen-350M-mono:</h5> |
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<div class="d-flex align-items-center"> |
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<label for="generationCode" class="mb-0 text-nowrap" style="margin-right: 15px;">Enter code to |
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Generate:</label> |
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<input type="text" class="form-control flex-grow-1" id="generationCode" |
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value="def fib(n):" placeholder="Enter code" |
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style="margin-right: 15px; margin-left: 15px;"> |
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<button id="generateCodeButton" class="btn btn-primary" onclick="generateCode()">Generate Code</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="outputAreaCode"></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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<script> |
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let generator; |
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let code_generator; |
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async function initializeModel() { |
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generator = await pipeline('text-generation', 'Xenova/distilgpt2'); |
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code_generator = await pipeline('text-generation', 'Xenova/codegen-350M-mono'); |
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} |
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async function generateText() { |
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const textFieldValue = document.getElementById("generationText").value.trim(); |
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const result = await generator(textFieldValue); |
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document.getElementById("outputArea").innerText = JSON.stringify(result, null, 2); |
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} |
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async function generateText2() { |
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const textFieldValue = document.getElementById("generationText2").value.trim(); |
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const result = await generator(textFieldValue, { |
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temperature: 2, |
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max_new_tokens: 20, |
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repetition_penalty: 1.5, |
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no_repeat_ngram_size: 2, |
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num_beams: 2, |
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num_return_sequences: 3, |
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}); |
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document.getElementById("outputArea2").innerText = JSON.stringify(result, null, 2); |
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} |
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async function generateCode() { |
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const textFieldValue = document.getElementById("generationCode").value.trim(); |
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const result = await code_generator(textFieldValue); |
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document.getElementById("outputAreaCode").innerText = JSON.stringify(result, null, 2); |
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} |
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window.addEventListener("DOMContentLoaded", initializeModel); |
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</script> |
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</body> |
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</html> |
