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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Text Summarizer - BART Model</title>
<!-- Bootstrap 4 CSS -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@4/dist/css/bootstrap.min.css">
<style>
body {
font-family: Arial, sans-serif;
background-color: #f8f9fa;
}
.navbar {
background-color: #007bff;
}
.navbar-brand, .nav-link {
color: white !important;
}
.hero-section {
background: #007bff;
color: white;
padding: 60px 20px;
text-align: center;
}
.content-section {
padding: 40px 20px;
}
.summary-box {
max-width: 600px;
margin: auto;
background: white;
padding: 20px;
border-radius: 5px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
}
</style>
</head>
<body>
<!-- Hero Section -->
<div class="hero-section">
<h1>AI-Powered Text Summarizer</h1>
<p>Summarize long articles into concise and meaningful summaries using the BART model.</p>
</div>
<div class="container content-section">
<h2 class="text-center mb-4">About the BART Model</h2>
<p class="text-left">
<strong>BART (Bidirectional and Auto-Regressive Transformer)</strong> is a sequence-to-sequence model that combines the strengths of both BERT and GPT.
It features a <strong>bidirectional encoder</strong>, similar to BERT, which understands context deeply, and an <strong>autoregressive decoder</strong>, like GPT, which generates text efficiently.
</p>
<p class="text-left">
Pre-trained using a <strong>denoising objective</strong>, BART reconstructs original text from corrupted input, making it highly effective for text generation tasks such as
<strong>summarization, translation, and question answering</strong>.
</p>
</div>
<!-- Summarization Tool -->
<div class="container content-section">
<h2 class="text-center mb-4">Try the Summarizer</h2>
<p class="text-center">Enter a passage, and the AI will generate a concise summary.</p>
<div class="summary-box">
<textarea id="userInput" class="form-control mb-3" rows="5" placeholder="Paste your text here..."></textarea>
<button class="btn btn-primary btn-block" onclick="fetchSummary()">Summarize</button>
<div class="spinner-border text-primary mt-3" id="loader" style="display:none;"></div>
<div id="result" class="alert alert-secondary mt-3" style="display:none;"></div>
</div>
</div>
<!-- Bootstrap 4 JS + jQuery -->
<script src="https://code.jquery.com/jquery-3.5.1.slim.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@popperjs/[email protected]/dist/umd/popper.min.js"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.5.2/js/bootstrap.min.js"></script>
<script>
import fetch from "node-fetch";
async function query(data) {
const response = await fetch(
"https://api-inference.huggingface.co/models/facebook/bart-large-cnn",
{
headers: {
Authorization: "Bearer {HF_TOKEN}", // Replace with your actual token
"Content-Type": "application/json",
},
method: "POST",
body: JSON.stringify(data),
}
);
const result = await response.json();
return result;
}
async function fetchSummary() {
const inputText = document.getElementById("userInput").value;
const loader = document.getElementById("loader");
const resultBox = document.getElementById("result");
if (!inputText) {
alert("Please enter some text.");
return;
}
loader.style.display = "block";
resultBox.style.display = "none";
resultBox.innerText = "";
try {
const response = await query({ inputs: inputText });
loader.style.display = "none";
resultBox.style.display = "block";
resultBox.innerHTML = `<strong>Summary:</strong> <br> ${response[0].summary_text}`;
} catch (error) {
loader.style.display = "none";
alert("Error fetching summary. Please try again.");
}
}
</script>
</body>
</html>
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