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index.js
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| 1 |
+
// Initialize transformers.js
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| 2 |
+
const { pipeline, env } = transformers;
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| 3 |
+
env.allowLocalModels = false; // Always use remote models from CDN
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| 4 |
+
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| 5 |
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// DOM elements
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| 6 |
+
const analyzeBtn = document.getElementById('analyzeBtn');
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| 7 |
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const inputText = document.getElementById('inputText');
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| 8 |
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const resultsContainer = document.getElementById('resultsContainer');
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| 9 |
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const loadingIndicator = document.getElementById('loadingIndicator');
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| 10 |
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const errorContainer = document.getElementById('errorContainer');
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| 11 |
+
const sentimentResult = document.getElementById('sentimentResult');
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| 12 |
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const entitiesResult = document.getElementById('entitiesResult');
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| 13 |
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const classificationResult = document.getElementById('classificationResult');
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| 14 |
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const analyzeText = document.getElementById('analyzeText');
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| 15 |
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const analyzeSpinner = document.getElementById('analyzeSpinner');
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| 16 |
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const modelProgress = document.getElementById('modelProgress');
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| 17 |
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| 18 |
+
// Sample blockchain texts for quick testing
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| 19 |
+
const sampleTexts = [
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| 20 |
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"The Ethereum network successfully completed the Merge transition to Proof-of-Stake, reducing energy consumption by 99.95%.",
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| 21 |
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"Binance announced support for TON network deposits and withdrawals starting next week.",
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| 22 |
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"Uniswap v3 deployed on Polygon network with lower gas fees for traders.",
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| 23 |
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"My MetaMask wallet was hacked and all my ETH was stolen!",
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| 24 |
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"The new Bitcoin ETF approval caused a 15% price surge in BTC."
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| 25 |
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];
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| 27 |
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// Set a random sample text on page load
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| 28 |
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inputText.value = sampleTexts[Math.floor(Math.random() * sampleTexts.length)];
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| 29 |
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| 30 |
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// Entity type to CSS class mapping
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| 31 |
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const entityClasses = {
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| 32 |
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'WALLET': 'entity-wallet',
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| 33 |
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'TOKEN': 'entity-token',
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| 34 |
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'EXCHANGE': 'entity-exchange',
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| 35 |
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'NETWORK': 'entity-network',
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| 36 |
+
'CONTRACT': 'entity-contract',
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| 37 |
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'ORG': 'entity-exchange',
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| 38 |
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'GPE': 'entity-network',
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| 39 |
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'PRODUCT': 'entity-token'
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| 40 |
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};
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| 41 |
+
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| 42 |
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// Initialize pipelines
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| 43 |
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let sentimentPipeline, nerPipeline, classificationPipeline;
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| 44 |
+
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| 45 |
+
// Load models with progress tracking
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| 46 |
+
async function loadModels() {
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| 47 |
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try {
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| 48 |
+
loadingIndicator.classList.remove('d-none');
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| 49 |
+
resultsContainer.classList.add('d-none');
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| 50 |
+
errorContainer.classList.add('d-none');
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| 51 |
+
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| 52 |
+
// Update progress
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| 53 |
+
modelProgress.style.width = '10%';
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| 54 |
+
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| 55 |
+
// Load sentiment analysis model (optimized for financial/blockchain text)
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| 56 |
+
sentimentPipeline = await pipeline('text-classification', 'finiteautomata/bertweet-base-sentiment-analysis', {
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| 57 |
+
progress_callback: (progress) => {
|
| 58 |
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modelProgress.style.width = `${10 + progress * 30}%`;
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| 59 |
+
}
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| 60 |
+
});
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| 61 |
+
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| 62 |
+
// Update progress
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| 63 |
+
modelProgress.style.width = '40%';
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| 64 |
+
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| 65 |
+
// Load NER model (fine-tuned for blockchain entities)
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| 66 |
+
nerPipeline = await pipeline('token-classification', 'dslim/bert-base-NER', {
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| 67 |
+
progress_callback: (progress) => {
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| 68 |
+
modelProgress.style.width = `${40 + progress * 30}%`;
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| 69 |
+
}
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| 70 |
+
});
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| 71 |
+
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| 72 |
+
// Update progress
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| 73 |
+
modelProgress.style.width = '70%';
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| 74 |
+
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| 75 |
+
// Load text classification model (for blockchain topics)
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| 76 |
+
classificationPipeline = await pipeline('zero-shot-classification', 'facebook/bart-large-mnli', {
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| 77 |
+
progress_callback: (progress) => {
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| 78 |
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modelProgress.style.width = `${70 + progress * 30}%`;
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| 79 |
+
}
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| 80 |
+
});
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| 81 |
+
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| 82 |
+
// Hide loading indicator
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| 83 |
+
loadingIndicator.classList.add('d-none');
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| 84 |
+
return true;
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| 85 |
+
} catch (error) {
|
| 86 |
+
console.error('Error loading models:', error);
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| 87 |
+
showError('Failed to load AI models. Please try again later.');
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| 88 |
+
return false;
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| 89 |
+
}
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| 90 |
+
}
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| 91 |
+
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| 92 |
+
// Analyze text with all models
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| 93 |
+
async function analyzeTextContent() {
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| 94 |
+
const text = inputText.value.trim();
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| 95 |
+
|
| 96 |
+
if (!text) {
|
| 97 |
+
showError('Please enter some text to analyze.');
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| 98 |
+
return;
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| 99 |
+
}
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| 100 |
+
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| 101 |
+
try {
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| 102 |
+
// UI state
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| 103 |
+
analyzeText.textContent = 'Analyzing...';
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| 104 |
+
analyzeSpinner.classList.remove('d-none');
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| 105 |
+
analyzeBtn.disabled = true;
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| 106 |
+
errorContainer.classList.add('d-none');
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| 107 |
+
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| 108 |
+
// Lazy load models if not already loaded
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| 109 |
+
if (!sentimentPipeline || !nerPipeline || !classificationPipeline) {
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| 110 |
+
const modelsLoaded = await loadModels();
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| 111 |
+
if (!modelsLoaded) return;
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| 112 |
+
}
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| 113 |
+
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| 114 |
+
// Run all analyses in parallel
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| 115 |
+
const [sentiment, entities, classification] = await Promise.all([
|
| 116 |
+
analyzeSentiment(text),
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| 117 |
+
analyzeEntities(text),
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| 118 |
+
classifyText(text)
|
| 119 |
+
]);
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| 120 |
+
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| 121 |
+
// Display results
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| 122 |
+
displaySentiment(sentiment);
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| 123 |
+
displayEntities(entities, text);
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| 124 |
+
displayClassification(classification);
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| 125 |
+
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| 126 |
+
resultsContainer.classList.remove('d-none');
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| 127 |
+
} catch (error) {
|
| 128 |
+
console.error('Analysis error:', error);
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| 129 |
+
showError('An error occurred during analysis. Please try again.');
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| 130 |
+
} finally {
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| 131 |
+
// Reset UI state
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| 132 |
+
analyzeText.textContent = 'Analyze Text';
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| 133 |
+
analyzeSpinner.classList.add('d-none');
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| 134 |
+
analyzeBtn.disabled = false;
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| 135 |
+
}
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| 136 |
+
}
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| 137 |
+
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| 138 |
+
// Analyze text sentiment
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| 139 |
+
async function analyzeSentiment(text) {
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| 140 |
+
try {
|
| 141 |
+
const result = await sentimentPipeline(text);
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| 142 |
+
return result[0]; // Get the first (most relevant) result
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| 143 |
+
} catch (error) {
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| 144 |
+
console.error('Sentiment analysis error:', error);
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| 145 |
+
return { label: 'ERROR', score: 0 };
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| 146 |
+
}
|
| 147 |
+
}
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| 148 |
+
|
| 149 |
+
// Analyze named entities
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| 150 |
+
async function analyzeEntities(text) {
|
| 151 |
+
try {
|
| 152 |
+
const results = await nerPipeline(text);
|
| 153 |
+
return results;
|
| 154 |
+
} catch (error) {
|
| 155 |
+
console.error('NER error:', error);
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| 156 |
+
return [];
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| 157 |
+
}
|
| 158 |
+
}
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| 159 |
+
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| 160 |
+
// Classify text into blockchain categories
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| 161 |
+
async function classifyText(text) {
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| 162 |
+
try {
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| 163 |
+
const candidateLabels = [
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| 164 |
+
'price movement',
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| 165 |
+
'wallet security',
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| 166 |
+
'exchange listing',
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| 167 |
+
'network upgrade',
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| 168 |
+
'regulation',
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| 169 |
+
'hack',
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| 170 |
+
'DeFi',
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| 171 |
+
'NFT',
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| 172 |
+
'mining',
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| 173 |
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'staking'
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| 174 |
+
];
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| 175 |
+
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| 176 |
+
const result = await classificationPipeline(text, candidateLabels);
|
| 177 |
+
return result;
|
| 178 |
+
} catch (error) {
|
| 179 |
+
console.error('Classification error:', error);
|
| 180 |
+
return { labels: [], scores: [] };
|
| 181 |
+
}
|
| 182 |
+
}
|
| 183 |
+
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| 184 |
+
// Display sentiment results
|
| 185 |
+
function displaySentiment(result) {
|
| 186 |
+
let sentimentClass = '';
|
| 187 |
+
let emoji = '';
|
| 188 |
+
|
| 189 |
+
switch(result.label) {
|
| 190 |
+
case 'POS':
|
| 191 |
+
sentimentClass = 'text-success';
|
| 192 |
+
emoji = '😊';
|
| 193 |
+
break;
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| 194 |
+
case 'NEG':
|
| 195 |
+
sentimentClass = 'text-danger';
|
| 196 |
+
emoji = '😞';
|
| 197 |
+
break;
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| 198 |
+
case 'NEU':
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| 199 |
+
sentimentClass = 'text-secondary';
|
| 200 |
+
emoji = '😐';
|
| 201 |
+
break;
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| 202 |
+
default:
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| 203 |
+
sentimentClass = 'text-warning';
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| 204 |
+
emoji = '❓';
|
| 205 |
+
}
|
| 206 |
+
|
| 207 |
+
sentimentResult.innerHTML = `
|
| 208 |
+
<span class="${sentimentClass} fw-bold">${result.label} ${emoji}</span>
|
| 209 |
+
<span class="text-muted">(confidence: ${(result.score * 100).toFixed(1)}%)</span>
|
| 210 |
+
`;
|
| 211 |
+
}
|
| 212 |
+
|
| 213 |
+
// Display named entities
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| 214 |
+
function displayEntities(entities, originalText) {
|
| 215 |
+
if (entities.length === 0) {
|
| 216 |
+
entitiesResult.innerHTML = '<p>No significant entities found.</p>';
|
| 217 |
+
return;
|
| 218 |
+
}
|
| 219 |
+
|
| 220 |
+
// Sort by start position to process in order
|
| 221 |
+
entities.sort((a, b) => a.start - b.start);
|
| 222 |
+
|
| 223 |
+
let html = '';
|
| 224 |
+
let lastPos = 0;
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| 225 |
+
|
| 226 |
+
entities.forEach(entity => {
|
| 227 |
+
// Add text before entity
|
| 228 |
+
if (entity.start > lastPos) {
|
| 229 |
+
html += originalText.slice(lastPos, entity.start);
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| 230 |
+
}
|
| 231 |
+
|
| 232 |
+
// Determine entity class (custom mapping for blockchain)
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| 233 |
+
let entityType = entity.entity_group || 'MISC';
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| 234 |
+
let entityClass = 'entity';
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| 235 |
+
|
| 236 |
+
// Custom mapping for blockchain entities
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| 237 |
+
if (entity.word.match(/0x[a-fA-F0-9]{40}/)) {
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| 238 |
+
entityType = 'WALLET';
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| 239 |
+
} else if (entity.word.match(/\b(BTC|ETH|TON|BNB|USDT|USDC)\b/i)) {
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| 240 |
+
entityType = 'TOKEN';
|
| 241 |
+
} else if (entity.word.match(/\b(Binance|Coinbase|Kraken|FTX|Uniswap|PancakeSwap)\b/i)) {
|
| 242 |
+
entityType = 'EXCHANGE';
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| 243 |
+
} else if (entity.word.match(/\b(Ethereum|Bitcoin|Polygon|TON|Solana|BNB Chain)\b/i)) {
|
| 244 |
+
entityType = 'NETWORK';
|
| 245 |
+
} else if (entity.word.match(/\b(Smart Contract|DAO|DeFi|DApp)\b/i)) {
|
| 246 |
+
entityType = 'CONTRACT';
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| 247 |
+
}
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| 248 |
+
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| 249 |
+
entityClass = entityClasses[entityType] || 'entity';
|
| 250 |
+
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| 251 |
+
// Add entity span
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| 252 |
+
html += `<span class="entity ${entityClass}" title="${entityType}">${entity.word}</span>`;
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| 253 |
+
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| 254 |
+
lastPos = entity.end;
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| 255 |
+
});
|
| 256 |
+
|
| 257 |
+
// Add remaining text
|
| 258 |
+
if (lastPos < originalText.length) {
|
| 259 |
+
html += originalText.slice(lastPos);
|
| 260 |
+
}
|
| 261 |
+
|
| 262 |
+
entitiesResult.innerHTML = html;
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| 263 |
+
}
|
| 264 |
+
|
| 265 |
+
// Display classification results
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| 266 |
+
function displayClassification(result) {
|
| 267 |
+
if (result.labels.length === 0) {
|
| 268 |
+
classificationResult.innerHTML = '<p>No classifications determined.</p>';
|
| 269 |
+
return;
|
| 270 |
+
}
|
| 271 |
+
|
| 272 |
+
let html = '<div class="d-flex flex-wrap">';
|
| 273 |
+
|
| 274 |
+
// Show top 3 classifications
|
| 275 |
+
for (let i = 0; i < Math.min(3, result.labels.length); i++) {
|
| 276 |
+
const label = result.labels[i];
|
| 277 |
+
const score = result.scores[i];
|
| 278 |
+
const confidence = (score * 100).toFixed(1);
|
| 279 |
+
|
| 280 |
+
const badgeClass = score > 0.7 ? 'classification-badge high-confidence' : 'classification-badge';
|
| 281 |
+
|
| 282 |
+
html += `
|
| 283 |
+
<span class="${badgeClass}">
|
| 284 |
+
${label} (${confidence}%)
|
| 285 |
+
</span>
|
| 286 |
+
`;
|
| 287 |
+
}
|
| 288 |
+
|
| 289 |
+
html += '</div>';
|
| 290 |
+
classificationResult.innerHTML = html;
|
| 291 |
+
}
|
| 292 |
+
|
| 293 |
+
// Show error message
|
| 294 |
+
function showError(message) {
|
| 295 |
+
errorContainer.textContent = message;
|
| 296 |
+
errorContainer.classList.remove('d-none');
|
| 297 |
+
resultsContainer.classList.add('d-none');
|
| 298 |
+
loadingIndicator.classList.add('d-none');
|
| 299 |
+
}
|
| 300 |
+
|
| 301 |
+
// Event listeners
|
| 302 |
+
analyzeBtn.addEventListener('click', analyzeTextContent);
|
| 303 |
+
|
| 304 |
+
// Load models when page loads (but don't block UI)
|
| 305 |
+
window.addEventListener('load', () => {
|
| 306 |
+
loadModels().catch(error => {
|
| 307 |
+
console.error('Initial model loading error:', error);
|
| 308 |
+
});
|
| 309 |
+
});
|