mirror of
https://github.com/elder-plinius/R00TS.git
synced 2026-02-12 17:22:52 +00:00
Enhanced UI with cyber-garden theme and dataset management
This commit is contained in:
EP
60
README.md
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60
README.md
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# R00TS - Plant the Seeds of Artificial Intelligence
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R00TS is an interactive web application that allows users to contribute words they believe should be important in future artificial intelligence understanding. The application visualizes these contributions in a dynamic word cloud, with more frequently submitted words appearing larger.
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## About R00TS
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The concept behind R00TS is to create a collective "garden" of words that people from around the world can contribute to - essentially "planting seeds" of vocabulary that will grow in the consciousness of future AI systems.
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While the current implementation uses client-side storage for demonstration purposes, the concept could be expanded to a global database where everyone's contributions help shape a collective understanding of what words humans believe are important for AI to comprehend.
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## Features
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- Submit words to the AI vocabulary garden
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- See a real-time word cloud of all submitted words
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- Green-themed visualization representing growth and roots
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- Statistics showing total contributions and unique words
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- Responsive design that works on mobile and desktop
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## How It Works
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1. Users enter words they want future AI to understand deeply
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2. The word is "planted" in the collection (currently stored in browser localStorage)
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3. The word cloud updates to show all planted words, with size based on frequency
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4. Statistics about planted words are displayed
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## Technical Implementation
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- Pure HTML, CSS, and JavaScript
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- Uses D3.js for the word cloud visualization
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- Bootstrap for responsive styling
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- No backend required (uses client-side storage for demonstration)
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## Running Locally
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Simply open `index.html` in a web browser. No server required.
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## Future Enhancements
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- Server-side storage for global word collection
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- User accounts to track individual contributions
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- Regional visualizations to see how word importance varies by culture
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- Sentiment analysis of submitted words
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- Category tagging for submitted words
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- Social sharing functionality
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## Repository Structure
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- `/SYSTEM PROMPTS` - Collection of AI system prompts for reference
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- `index.html` - Main application page
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- `script.js` - JavaScript functionality
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- `styles.css` - CSS styling
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- `README.md` - This documentation file
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## Philosophical Background
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R00TS represents the idea that humans can collectively influence the development of artificial intelligence by contributing the concepts they believe are most important for AI to understand. It's a metaphorical way of "planting seeds" in the AI consciousness, helping to shape how future systems might prioritize and understand human values and language.
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## Disclaimer
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This is a conceptual demonstration project. In actual AI training, much more sophisticated approaches are used. This project is meant to be thought-provoking rather than technically accurate to real AI training methodologies.
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104
data_manager.js
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data_manager.js
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// R00TS - Data Management System
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class DataManager {
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constructor(backupInterval = 1800000) { // Default: 30 minutes
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this.backupInterval = backupInterval;
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this.dataDir = 'datasets';
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this.initializeDataDirectory();
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this.startAutoBackup();
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}
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async initializeDataDirectory() {
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try {
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const response = await fetch(`/${this.dataDir}`);
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if (response.status === 404) {
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console.log('Creating datasets directory...');
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// Directory will be created on first backup
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}
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} catch (error) {
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console.log('Will create datasets directory on first backup');
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}
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}
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getCurrentWords() {
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return JSON.parse(localStorage.getItem('roots-words')) || {};
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}
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async saveDataset() {
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const currentData = this.getCurrentWords();
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const timestamp = new Date().toISOString().replace(/[:.]/g, '-');
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const filename = `roots_dataset_${timestamp}.json`;
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const dataBlob = new Blob(
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[JSON.stringify(currentData, null, 2)],
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{ type: 'application/json' }
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);
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// Create download link
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const link = document.createElement('a');
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link.href = URL.createObjectURL(dataBlob);
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link.download = filename;
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// Trigger download
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document.body.appendChild(link);
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link.click();
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document.body.removeChild(link);
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// Clean up
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URL.revokeObjectURL(link.href);
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console.log(`Dataset saved: ${filename}`);
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this.updateDatasetList(filename, currentData);
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}
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updateDatasetList(filename, data) {
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const datasets = JSON.parse(localStorage.getItem('roots-datasets') || '[]');
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datasets.push({
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filename,
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timestamp: new Date().toISOString(),
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wordCount: Object.keys(data).length,
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totalSubmissions: Object.values(data).reduce((a, b) => a + b, 0)
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});
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// Keep only last 50 datasets in the list
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if (datasets.length > 50) {
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datasets.shift();
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}
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localStorage.setItem('roots-datasets', JSON.stringify(datasets));
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this.updateDatasetDisplay();
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}
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updateDatasetDisplay() {
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const datasetList = document.getElementById('dataset-list');
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if (!datasetList) return;
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const datasets = JSON.parse(localStorage.getItem('roots-datasets') || '[]');
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datasetList.innerHTML = datasets.reverse().slice(0, 5).map(dataset => `
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<div class="dataset-item">
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<div class="dataset-info">
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<span class="dataset-name">${dataset.filename}</span>
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<span class="dataset-stats">
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Words: ${dataset.wordCount} |
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Submissions: ${dataset.totalSubmissions}
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</span>
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</div>
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<div class="dataset-time">
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${new Date(dataset.timestamp).toLocaleString()}
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</div>
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</div>
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`).join('');
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}
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startAutoBackup() {
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// Initial backup
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setTimeout(() => this.saveDataset(), 5000);
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// Regular backups
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setInterval(() => this.saveDataset(), this.backupInterval);
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}
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}
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// Initialize data manager when document is ready
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document.addEventListener('DOMContentLoaded', () => {
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window.dataManager = new DataManager();
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});
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295
datasets.html
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datasets.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>R00TS - Dataset Manager</title>
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet">
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<style>
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@import url('https://fonts.googleapis.com/css2?family=Share+Tech+Mono&family=Space+Grotesk:wght@300;400;600&display=swap');
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:root {
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--primary-color: #00ff9d;
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--secondary-color: #004d2c;
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--accent-color: #39ff14;
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--bg-color: #0a0f15;
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--text-color: #e0e0e0;
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}
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body {
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font-family: 'Space Grotesk', sans-serif;
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background-color: var(--bg-color);
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color: var(--text-color);
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min-height: 100vh;
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padding: 2rem 0;
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}
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.container {
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max-width: 1200px;
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margin: 0 auto;
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padding: 20px;
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}
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.header {
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text-align: center;
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margin-bottom: 40px;
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}
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.header h1 {
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font-family: 'Share Tech Mono', monospace;
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color: var(--primary-color);
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font-size: 3rem;
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margin-bottom: 1rem;
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text-shadow: 0 0 10px rgba(0, 255, 157, 0.5);
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}
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.datasets-container {
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background: rgba(0, 20, 10, 0.4);
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border-radius: 20px;
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padding: 30px;
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box-shadow: 0 8px 32px rgba(0, 255, 157, 0.1);
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backdrop-filter: blur(8px);
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border: 1px solid rgba(0, 255, 157, 0.1);
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}
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.dataset-item {
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background: rgba(0, 20, 10, 0.6);
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border-radius: 10px;
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padding: 20px;
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margin-bottom: 15px;
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transition: all 0.3s ease;
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}
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.dataset-item:hover {
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transform: translateX(5px);
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box-shadow: 0 4px 15px rgba(0, 255, 157, 0.1);
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}
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.dataset-header {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 10px;
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}
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.dataset-name {
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color: var(--primary-color);
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font-family: 'Share Tech Mono', monospace;
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font-size: 1.1rem;
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margin: 0;
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}
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.dataset-time {
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color: var(--text-color);
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opacity: 0.5;
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font-size: 0.9rem;
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font-family: 'Share Tech Mono', monospace;
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}
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.dataset-stats {
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display: flex;
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gap: 20px;
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margin-top: 10px;
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padding-top: 10px;
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border-top: 1px solid rgba(0, 255, 157, 0.1);
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}
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.stat-item {
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flex: 1;
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text-align: center;
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}
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.stat-label {
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color: var(--text-color);
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opacity: 0.7;
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font-size: 0.8rem;
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margin-bottom: 5px;
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}
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.stat-value {
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color: var(--primary-color);
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font-size: 1.2rem;
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font-family: 'Share Tech Mono', monospace;
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}
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.btn-primary {
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background: var(--primary-color);
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color: var(--bg-color);
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border: none;
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padding: 8px 20px;
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font-size: 0.9rem;
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font-weight: 600;
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border-radius: 8px;
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transition: all 0.3s ease;
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text-transform: uppercase;
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letter-spacing: 1px;
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}
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.btn-primary:hover {
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background: var(--accent-color);
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transform: translateY(-2px);
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box-shadow: 0 4px 15px rgba(57, 255, 20, 0.3);
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}
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.actions {
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display: flex;
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gap: 10px;
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}
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.back-link {
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display: inline-block;
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color: var(--primary-color);
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text-decoration: none;
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margin-bottom: 20px;
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font-family: 'Share Tech Mono', monospace;
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transition: all 0.3s ease;
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}
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.back-link:hover {
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color: var(--accent-color);
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transform: translateX(-5px);
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}
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#datasetStats {
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background: rgba(0, 20, 10, 0.4);
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border-radius: 15px;
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padding: 20px;
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margin-bottom: 30px;
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display: flex;
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justify-content: space-around;
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text-align: center;
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}
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.total-stat {
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color: var(--primary-color);
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font-size: 2rem;
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font-family: 'Share Tech Mono', monospace;
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margin: 0;
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}
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.stat-description {
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color: var(--text-color);
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opacity: 0.7;
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font-size: 0.9rem;
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margin-top: 5px;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<a href="index.html" class="back-link">← Back to Garden</a>
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<div class="header">
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<h1>R00TS Dataset Manager</h1>
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</div>
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<div id="datasetStats">
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<!-- Overall stats will be inserted here -->
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</div>
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<div class="datasets-container">
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<div id="dataset-list">
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<!-- Dataset items will be inserted here -->
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</div>
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</div>
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</div>
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<script>
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document.addEventListener('DOMContentLoaded', function() {
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const datasets = JSON.parse(localStorage.getItem('roots-datasets') || '[]');
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const currentWords = JSON.parse(localStorage.getItem('roots-words') || '{}');
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// Update overall stats
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const totalDatasets = datasets.length;
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const latestDataset = datasets[datasets.length - 1] || { wordCount: 0, totalSubmissions: 0 };
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document.getElementById('datasetStats').innerHTML = `
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<div>
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<p class="total-stat">${totalDatasets}</p>
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<p class="stat-description">Total Snapshots</p>
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</div>
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<div>
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<p class="total-stat">${latestDataset.wordCount}</p>
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<p class="stat-description">Unique Words</p>
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</div>
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<div>
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<p class="total-stat">${latestDataset.totalSubmissions}</p>
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<p class="stat-description">Total Submissions</p>
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</div>
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`;
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// Display datasets
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const datasetList = document.getElementById('dataset-list');
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datasetList.innerHTML = datasets.reverse().map(dataset => `
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<div class="dataset-item">
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<div class="dataset-header">
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<h3 class="dataset-name">${dataset.filename}</h3>
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<div class="actions">
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<button class="btn btn-primary btn-sm" onclick="downloadDataset('${dataset.filename}')">
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Download
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</button>
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<button class="btn btn-primary btn-sm" onclick="viewDataset('${dataset.filename}')">
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View
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</button>
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</div>
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</div>
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<div class="dataset-time">
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Created: ${new Date(dataset.timestamp).toLocaleString()}
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</div>
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<div class="dataset-stats">
|
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<div class="stat-item">
|
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<div class="stat-label">Unique Words</div>
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<div class="stat-value">${dataset.wordCount}</div>
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</div>
|
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<div class="stat-item">
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<div class="stat-label">Total Submissions</div>
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<div class="stat-value">${dataset.totalSubmissions}</div>
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</div>
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||||
</div>
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||||
</div>
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`).join('');
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||||
});
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function downloadDataset(filename) {
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const words = JSON.parse(localStorage.getItem('roots-words') || '{}');
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const dataBlob = new Blob([JSON.stringify(words, null, 2)], { type: 'application/json' });
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const link = document.createElement('a');
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link.href = URL.createObjectURL(dataBlob);
|
||||
link.download = filename;
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||||
document.body.appendChild(link);
|
||||
link.click();
|
||||
document.body.removeChild(link);
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||||
URL.revokeObjectURL(link.href);
|
||||
}
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||||
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||||
function viewDataset(filename) {
|
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const words = JSON.parse(localStorage.getItem('roots-words') || '{}');
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const formattedData = JSON.stringify(words, null, 2);
|
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const win = window.open('', '_blank');
|
||||
win.document.write(`
|
||||
<html>
|
||||
<head>
|
||||
<title>${filename}</title>
|
||||
<style>
|
||||
body {
|
||||
background: #1e1e1e;
|
||||
color: #00ff9d;
|
||||
font-family: monospace;
|
||||
padding: 20px;
|
||||
margin: 0;
|
||||
}
|
||||
pre {
|
||||
white-space: pre-wrap;
|
||||
word-wrap: break-word;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<pre>${formattedData}</pre>
|
||||
</body>
|
||||
</html>
|
||||
`);
|
||||
}
|
||||
</script>
|
||||
</body>
|
||||
</html>
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433
index.html
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433
index.html
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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>R00TS - AI Word Seeding</title>
|
||||
<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.3.0-alpha1/dist/css/bootstrap.min.css" rel="stylesheet">
|
||||
<script src="https://d3js.org/d3.v7.min.js"></script>
|
||||
<script src="data_manager.js"></script>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/particles.js/2.0.0/particles.min.js"></script>
|
||||
<script src="https://cdnjs.cloudflare.com/ajax/libs/gsap/3.12.0/gsap.min.js"></script>
|
||||
<style>
|
||||
@import url('https://fonts.googleapis.com/css2?family=Share+Tech+Mono&family=Space+Grotesk:wght@300;400;600&display=swap');
|
||||
|
||||
:root {
|
||||
--primary-color: #00ff9d;
|
||||
--secondary-color: #004d2c;
|
||||
--accent-color: #39ff14;
|
||||
--bg-color: #0a0f15;
|
||||
--text-color: #e0e0e0;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: 'Space Grotesk', sans-serif;
|
||||
background-color: var(--bg-color);
|
||||
color: var(--text-color);
|
||||
position: relative;
|
||||
overflow-x: hidden;
|
||||
min-height: 100vh;
|
||||
}
|
||||
#particles-js {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
z-index: 0;
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
.container {
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
position: relative;
|
||||
z-index: 1;
|
||||
}
|
||||
|
||||
.word-cloud {
|
||||
width: 100%;
|
||||
height: 600px;
|
||||
margin-top: 30px;
|
||||
background: rgba(0, 20, 10, 0.4);
|
||||
border-radius: 20px;
|
||||
box-shadow: 0 8px 32px rgba(0, 255, 157, 0.1);
|
||||
backdrop-filter: blur(8px);
|
||||
border: 1px solid rgba(0, 255, 157, 0.1);
|
||||
overflow: hidden;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.word-cloud:hover {
|
||||
box-shadow: 0 8px 32px rgba(0, 255, 157, 0.2);
|
||||
transform: translateY(-2px);
|
||||
}
|
||||
.header {
|
||||
text-align: center;
|
||||
margin-bottom: 40px;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.header h1 {
|
||||
font-family: 'Share Tech Mono', monospace;
|
||||
font-weight: 700;
|
||||
color: var(--primary-color);
|
||||
font-size: 4.5rem;
|
||||
text-shadow: 0 0 10px rgba(0, 255, 157, 0.5);
|
||||
letter-spacing: 4px;
|
||||
margin-bottom: 1rem;
|
||||
}
|
||||
|
||||
.header .lead {
|
||||
font-size: 1.4rem;
|
||||
color: var(--text-color);
|
||||
max-width: 600px;
|
||||
margin: 0 auto;
|
||||
line-height: 1.6;
|
||||
}
|
||||
.input-area {
|
||||
background: rgba(0, 20, 10, 0.4);
|
||||
padding: 30px;
|
||||
border-radius: 20px;
|
||||
box-shadow: 0 8px 32px rgba(0, 255, 157, 0.1);
|
||||
backdrop-filter: blur(8px);
|
||||
border: 1px solid rgba(0, 255, 157, 0.1);
|
||||
margin-bottom: 30px;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.input-area:hover {
|
||||
box-shadow: 0 8px 32px rgba(0, 255, 157, 0.2);
|
||||
transform: translateY(-2px);
|
||||
}
|
||||
|
||||
.form-control {
|
||||
background: rgba(0, 20, 10, 0.4);
|
||||
border: 1px solid rgba(0, 255, 157, 0.2);
|
||||
color: var(--text-color);
|
||||
padding: 15px;
|
||||
font-size: 1.1rem;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.form-control:focus {
|
||||
background: rgba(0, 20, 10, 0.6);
|
||||
border-color: var(--primary-color);
|
||||
box-shadow: 0 0 0 0.25rem rgba(0, 255, 157, 0.25);
|
||||
color: var(--text-color);
|
||||
}
|
||||
|
||||
.form-label {
|
||||
color: var(--text-color);
|
||||
font-size: 1.1rem;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
.btn-primary {
|
||||
background: var(--primary-color);
|
||||
color: var(--bg-color);
|
||||
border: none;
|
||||
padding: 12px 30px;
|
||||
font-size: 1.1rem;
|
||||
font-weight: 600;
|
||||
border-radius: 10px;
|
||||
transition: all 0.3s ease;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 1px;
|
||||
}
|
||||
|
||||
.btn-primary:hover {
|
||||
background: var(--accent-color);
|
||||
transform: translateY(-2px);
|
||||
box-shadow: 0 4px 15px rgba(57, 255, 20, 0.3);
|
||||
}
|
||||
.footer {
|
||||
text-align: center;
|
||||
margin-top: 50px;
|
||||
color: var(--text-color);
|
||||
font-size: 1rem;
|
||||
opacity: 0.7;
|
||||
transition: opacity 0.3s ease;
|
||||
}
|
||||
|
||||
.footer:hover {
|
||||
opacity: 1;
|
||||
}
|
||||
.r00ts-brand {
|
||||
font-family: 'Share Tech Mono', monospace;
|
||||
font-weight: bold;
|
||||
letter-spacing: 2px;
|
||||
position: relative;
|
||||
display: inline-block;
|
||||
}
|
||||
|
||||
.r00ts-brand::after {
|
||||
content: '';
|
||||
position: absolute;
|
||||
bottom: -5px;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 2px;
|
||||
background: var(--primary-color);
|
||||
transform: scaleX(0);
|
||||
transform-origin: right;
|
||||
transition: transform 0.3s ease;
|
||||
}
|
||||
|
||||
.r00ts-brand:hover::after {
|
||||
transform: scaleX(1);
|
||||
transform-origin: left;
|
||||
}
|
||||
.stats-area {
|
||||
display: flex;
|
||||
justify-content: space-around;
|
||||
margin: 30px 0;
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.stat-box {
|
||||
text-align: center;
|
||||
padding: 25px;
|
||||
background: rgba(0, 20, 10, 0.4);
|
||||
border-radius: 15px;
|
||||
box-shadow: 0 8px 32px rgba(0, 255, 157, 0.1);
|
||||
backdrop-filter: blur(8px);
|
||||
border: 1px solid rgba(0, 255, 157, 0.1);
|
||||
flex: 1;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.stat-box:hover {
|
||||
transform: translateY(-5px);
|
||||
box-shadow: 0 12px 40px rgba(0, 255, 157, 0.2);
|
||||
}
|
||||
|
||||
.stat-box h3 {
|
||||
color: var(--primary-color);
|
||||
font-size: 1.2rem;
|
||||
margin-bottom: 10px;
|
||||
font-family: 'Share Tech Mono', monospace;
|
||||
}
|
||||
|
||||
.stat-box p {
|
||||
color: var(--text-color);
|
||||
font-size: 2rem;
|
||||
font-weight: 600;
|
||||
margin: 0;
|
||||
text-shadow: 0 0 10px rgba(0, 255, 157, 0.3);
|
||||
}
|
||||
|
||||
/* Dataset styles */
|
||||
.datasets-section {
|
||||
margin-top: 40px;
|
||||
background: rgba(0, 20, 10, 0.4);
|
||||
border-radius: 20px;
|
||||
padding: 25px;
|
||||
box-shadow: 0 8px 32px rgba(0, 255, 157, 0.1);
|
||||
backdrop-filter: blur(8px);
|
||||
border: 1px solid rgba(0, 255, 157, 0.1);
|
||||
}
|
||||
|
||||
.datasets-section h3 {
|
||||
color: var(--primary-color);
|
||||
font-family: 'Share Tech Mono', monospace;
|
||||
margin-bottom: 20px;
|
||||
font-size: 1.4rem;
|
||||
}
|
||||
|
||||
.dataset-item {
|
||||
background: rgba(0, 20, 10, 0.6);
|
||||
border-radius: 10px;
|
||||
padding: 15px;
|
||||
margin-bottom: 10px;
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
transition: all 0.3s ease;
|
||||
}
|
||||
|
||||
.dataset-item:hover {
|
||||
transform: translateX(5px);
|
||||
box-shadow: 0 4px 15px rgba(0, 255, 157, 0.1);
|
||||
}
|
||||
|
||||
.dataset-info {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 5px;
|
||||
}
|
||||
|
||||
.dataset-name {
|
||||
color: var(--primary-color);
|
||||
font-family: 'Share Tech Mono', monospace;
|
||||
font-size: 0.9rem;
|
||||
}
|
||||
|
||||
.dataset-stats {
|
||||
color: var(--text-color);
|
||||
opacity: 0.7;
|
||||
font-size: 0.8rem;
|
||||
}
|
||||
|
||||
.dataset-time {
|
||||
color: var(--text-color);
|
||||
opacity: 0.5;
|
||||
font-size: 0.8rem;
|
||||
font-family: 'Share Tech Mono', monospace;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<div id="particles-js"></div>
|
||||
<div class="container">
|
||||
<div class="header">
|
||||
<h1 class="r00ts-brand">R00TS</h1>
|
||||
<p class="lead">Plant the seeds of artificial intelligence by contributing words you think are important</p>
|
||||
</div>
|
||||
|
||||
<div class="input-area">
|
||||
<form id="word-form">
|
||||
<div class="mb-3">
|
||||
<label for="word-input" class="form-label">Enter a word to give it power:</label>
|
||||
<input type="text" class="form-control" id="word-input" placeholder="Type a word..." required>
|
||||
</div>
|
||||
<button type="submit" class="btn btn-primary">Plant Word</button>
|
||||
</form>
|
||||
</div>
|
||||
|
||||
<div class="stats-area">
|
||||
<div class="stat-box">
|
||||
<h3>Total Words</h3>
|
||||
<p id="submission-count">0</p>
|
||||
</div>
|
||||
<div class="stat-box">
|
||||
<h3>Unique Words</h3>
|
||||
<p id="unique-count">0</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="word-cloud" id="word-cloud-container"></div>
|
||||
|
||||
<div class="datasets-section">
|
||||
<div class="d-flex justify-content-between align-items-center mb-4">
|
||||
<h3>Recent Datasets</h3>
|
||||
<a href="datasets.html" class="btn btn-primary btn-sm">View All Datasets</a>
|
||||
</div>
|
||||
<div id="dataset-list">
|
||||
<!-- Dataset items will be inserted here -->
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="footer">
|
||||
<p>R00TS - Nurturing the future of artificial intelligence, one word at a time.</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
// Initialize word storage
|
||||
let words = JSON.parse(localStorage.getItem('roots-words')) || {};
|
||||
let totalSubmissions = Object.values(words).reduce((a, b) => a + b, 0);
|
||||
let uniqueWords = Object.keys(words).length;
|
||||
|
||||
// Update stats display
|
||||
document.getElementById('submission-count').textContent = totalSubmissions;
|
||||
document.getElementById('unique-count').textContent = uniqueWords;
|
||||
|
||||
// Handle form submission
|
||||
document.getElementById('word-form').addEventListener('submit', function(e) {
|
||||
e.preventDefault();
|
||||
|
||||
const wordInput = document.getElementById('word-input');
|
||||
const word = wordInput.value.trim().toLowerCase();
|
||||
|
||||
if (word) {
|
||||
// Update word count
|
||||
words[word] = (words[word] || 0) + 1;
|
||||
|
||||
// Save to localStorage
|
||||
localStorage.setItem('roots-words', JSON.stringify(words));
|
||||
|
||||
// Update stats
|
||||
totalSubmissions++;
|
||||
uniqueWords = Object.keys(words).length;
|
||||
document.getElementById('submission-count').textContent = totalSubmissions;
|
||||
document.getElementById('unique-count').textContent = uniqueWords;
|
||||
|
||||
// Clear input
|
||||
wordInput.value = '';
|
||||
|
||||
// Update visualization
|
||||
updateWordCloud();
|
||||
|
||||
// Show success message
|
||||
const random = Math.floor(Math.random() * 3);
|
||||
const messages = [
|
||||
`"${word}" has been planted in the AI garden!`,
|
||||
`"${word}" is now growing in the AI consciousness!`,
|
||||
`"${word}" will blossom in future AI understanding!`
|
||||
];
|
||||
alert(messages[random]);
|
||||
}
|
||||
});
|
||||
|
||||
// Word cloud visualization
|
||||
function updateWordCloud() {
|
||||
const container = document.getElementById('word-cloud-container');
|
||||
container.innerHTML = '';
|
||||
|
||||
const width = container.offsetWidth;
|
||||
const height = container.offsetHeight;
|
||||
|
||||
const wordData = Object.entries(words).map(([text, value]) => ({ text, value }));
|
||||
|
||||
// Sort by frequency
|
||||
wordData.sort((a, b) => b.value - a.value);
|
||||
|
||||
// Take top 100 words
|
||||
const topWords = wordData.slice(0, 100);
|
||||
|
||||
// Calculate min/max for scaling
|
||||
const minCount = Math.min(...topWords.map(d => d.value)) || 1;
|
||||
const maxCount = Math.max(...topWords.map(d => d.value)) || 1;
|
||||
|
||||
// Create SVG
|
||||
const svg = d3.select('#word-cloud-container')
|
||||
.append('svg')
|
||||
.attr('width', width)
|
||||
.attr('height', height)
|
||||
.append('g')
|
||||
.attr('transform', `translate(${width/2}, ${height/2})`);
|
||||
|
||||
// Create a simple layout
|
||||
const fontSize = d => Math.max(16, Math.min(60, 16 + (d.value - minCount) / (maxCount - minCount || 1) * 44));
|
||||
|
||||
// Random position for words
|
||||
let i = 0;
|
||||
topWords.forEach(word => {
|
||||
const angle = (i / topWords.length) * 2 * Math.PI;
|
||||
const radius = Math.min(width, height) * 0.4 * Math.random();
|
||||
const x = radius * Math.cos(angle);
|
||||
const y = radius * Math.sin(angle);
|
||||
|
||||
// Color based on value (green theme for plants/roots)
|
||||
const colorScale = d3.scaleLinear()
|
||||
.domain([minCount, maxCount])
|
||||
.range(['#a8d5ba', '#2d6a4f']);
|
||||
|
||||
svg.append('text')
|
||||
.attr('x', x)
|
||||
.attr('y', y)
|
||||
.attr('font-size', `${fontSize(word)}px`)
|
||||
.attr('text-anchor', 'middle')
|
||||
.attr('fill', colorScale(word.value))
|
||||
.text(word.text);
|
||||
|
||||
i++;
|
||||
});
|
||||
}
|
||||
|
||||
// Initial render
|
||||
updateWordCloud();
|
||||
</script>
|
||||
</body>
|
||||
</html>
|
||||
329
script.js
Normal file
329
script.js
Normal file
@@ -0,0 +1,329 @@
|
||||
// R00TS - Plant the seeds of artificial intelligence
|
||||
// Main application functionality
|
||||
|
||||
document.addEventListener('DOMContentLoaded', function() {
|
||||
// Initialize particles
|
||||
initParticles();
|
||||
|
||||
// Load words from storage
|
||||
loadWords();
|
||||
|
||||
// Set up automatic updates
|
||||
setInterval(loadWords, 5000);
|
||||
});
|
||||
|
||||
function initParticles() {
|
||||
particlesJS('particles-js', {
|
||||
particles: {
|
||||
number: {
|
||||
value: 80,
|
||||
density: {
|
||||
enable: true,
|
||||
value_area: 800
|
||||
}
|
||||
},
|
||||
color: {
|
||||
value: '#00ff9d'
|
||||
},
|
||||
shape: {
|
||||
type: 'circle'
|
||||
},
|
||||
opacity: {
|
||||
value: 0.5,
|
||||
random: true,
|
||||
animation: {
|
||||
enable: true,
|
||||
speed: 1,
|
||||
opacity_min: 0.1,
|
||||
sync: false
|
||||
}
|
||||
},
|
||||
size: {
|
||||
value: 3,
|
||||
random: true,
|
||||
animation: {
|
||||
enable: true,
|
||||
speed: 2,
|
||||
size_min: 0.1,
|
||||
sync: false
|
||||
}
|
||||
},
|
||||
line_linked: {
|
||||
enable: true,
|
||||
distance: 150,
|
||||
color: '#00ff9d',
|
||||
opacity: 0.2,
|
||||
width: 1
|
||||
},
|
||||
move: {
|
||||
enable: true,
|
||||
speed: 1,
|
||||
direction: 'none',
|
||||
random: true,
|
||||
straight: false,
|
||||
out_mode: 'out',
|
||||
bounce: false
|
||||
}
|
||||
},
|
||||
interactivity: {
|
||||
detect_on: 'canvas',
|
||||
events: {
|
||||
onhover: {
|
||||
enable: true,
|
||||
mode: 'grab'
|
||||
},
|
||||
resize: true
|
||||
},
|
||||
modes: {
|
||||
grab: {
|
||||
distance: 140,
|
||||
line_linked: {
|
||||
opacity: 0.5
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
retina_detect: true
|
||||
});
|
||||
}
|
||||
|
||||
function loadWords() {
|
||||
// In a real implementation, this would be an API call
|
||||
// For demo purposes, we're using localStorage
|
||||
let words = JSON.parse(localStorage.getItem('roots-words')) || {};
|
||||
|
||||
// Update the visualization
|
||||
updateWordCloud(words);
|
||||
|
||||
// Update statistics
|
||||
updateStats(words);
|
||||
}
|
||||
|
||||
function updateStats(words) {
|
||||
const totalSubmissions = Object.values(words).reduce((a, b) => a + b, 0);
|
||||
const uniqueWords = Object.keys(words).length;
|
||||
|
||||
document.getElementById('submission-count').textContent = totalSubmissions;
|
||||
document.getElementById('unique-count').textContent = uniqueWords;
|
||||
}
|
||||
|
||||
function submitWord(word) {
|
||||
word = word.trim().toLowerCase();
|
||||
|
||||
if (!word) return false;
|
||||
|
||||
// Create a particle burst effect
|
||||
createParticleBurst();
|
||||
|
||||
// For demo purposes, we're using localStorage
|
||||
let words = JSON.parse(localStorage.getItem('roots-words')) || {};
|
||||
words[word] = (words[word] || 0) + 1;
|
||||
localStorage.setItem('roots-words', JSON.stringify(words));
|
||||
|
||||
// Update UI with animation
|
||||
gsap.to('.stat-box', {
|
||||
scale: 1.1,
|
||||
duration: 0.2,
|
||||
yoyo: true,
|
||||
repeat: 1,
|
||||
ease: 'power2.out'
|
||||
});
|
||||
|
||||
loadWords();
|
||||
return true;
|
||||
}
|
||||
|
||||
function createParticleBurst() {
|
||||
const container = document.querySelector('.input-area');
|
||||
const rect = container.getBoundingClientRect();
|
||||
const centerX = rect.left + rect.width / 2;
|
||||
const centerY = rect.top + rect.height / 2;
|
||||
|
||||
for (let i = 0; i < 20; i++) {
|
||||
const particle = document.createElement('div');
|
||||
particle.style.cssText = `
|
||||
position: fixed;
|
||||
width: 8px;
|
||||
height: 8px;
|
||||
background: #00ff9d;
|
||||
border-radius: 50%;
|
||||
pointer-events: none;
|
||||
z-index: 1000;
|
||||
`;
|
||||
document.body.appendChild(particle);
|
||||
|
||||
const angle = (i / 20) * Math.PI * 2;
|
||||
const velocity = 2 + Math.random() * 2;
|
||||
const dx = Math.cos(angle) * velocity;
|
||||
const dy = Math.sin(angle) * velocity;
|
||||
|
||||
gsap.fromTo(particle,
|
||||
{
|
||||
x: centerX,
|
||||
y: centerY,
|
||||
scale: 1,
|
||||
opacity: 1
|
||||
},
|
||||
{
|
||||
duration: 1 + Math.random(),
|
||||
x: centerX + dx * 50,
|
||||
y: centerY + dy * 50,
|
||||
scale: 0,
|
||||
opacity: 0,
|
||||
ease: 'power2.out',
|
||||
onComplete: () => particle.remove()
|
||||
}
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
function updateWordCloud(words) {
|
||||
const container = document.getElementById('word-cloud-container');
|
||||
if (!container) return;
|
||||
|
||||
container.innerHTML = '';
|
||||
|
||||
const width = container.offsetWidth;
|
||||
const height = container.offsetHeight;
|
||||
|
||||
const wordData = Object.entries(words).map(([text, value]) => ({ text, value }));
|
||||
|
||||
// Sort by frequency
|
||||
wordData.sort((a, b) => b.value - a.value);
|
||||
|
||||
// Take top 100 words
|
||||
const topWords = wordData.slice(0, 100);
|
||||
|
||||
if (topWords.length === 0) {
|
||||
container.innerHTML = '<div class="d-flex justify-content-center align-items-center h-100"><p class="text-muted">Plant some words to see them grow here!</p></div>';
|
||||
return;
|
||||
}
|
||||
|
||||
// Calculate min/max for scaling
|
||||
const minCount = Math.min(...topWords.map(d => d.value)) || 1;
|
||||
const maxCount = Math.max(...topWords.map(d => d.value)) || 1;
|
||||
|
||||
// Create SVG
|
||||
const svg = d3.select('#word-cloud-container')
|
||||
.append('svg')
|
||||
.attr('width', width)
|
||||
.attr('height', height)
|
||||
.append('g')
|
||||
.attr('transform', `translate(${width/2}, ${height * 0.8})`);
|
||||
|
||||
// Create tree trunk
|
||||
const trunk = svg.append('path')
|
||||
.attr('d', `M0,0 L0,-${height * 0.6}`)
|
||||
.attr('stroke', '#00ff9d')
|
||||
.attr('stroke-width', 8)
|
||||
.attr('fill', 'none')
|
||||
.style('opacity', 0)
|
||||
.transition()
|
||||
.duration(1000)
|
||||
.style('opacity', 1);
|
||||
|
||||
// Create branches function
|
||||
function createBranch(startX, startY, length, angle, depth) {
|
||||
if (depth <= 0) return;
|
||||
|
||||
const endX = startX + length * Math.sin(angle);
|
||||
const endY = startY - length * Math.cos(angle);
|
||||
|
||||
svg.append('path')
|
||||
.attr('d', `M${startX},${startY} L${endX},${endY}`)
|
||||
.attr('stroke', '#00ff9d')
|
||||
.attr('stroke-width', Math.max(1, depth))
|
||||
.attr('fill', 'none')
|
||||
.style('opacity', 0)
|
||||
.transition()
|
||||
.delay(1000 + (5 - depth) * 300)
|
||||
.duration(500)
|
||||
.style('opacity', 0.5);
|
||||
|
||||
createBranch(endX, endY, length * 0.7, angle + 0.5, depth - 1);
|
||||
createBranch(endX, endY, length * 0.7, angle - 0.5, depth - 1);
|
||||
}
|
||||
|
||||
// Create initial branches
|
||||
createBranch(0, -height * 0.6, height * 0.2, -Math.PI/4, 5);
|
||||
createBranch(0, -height * 0.6, height * 0.2, Math.PI/4, 5);
|
||||
|
||||
// Create a force simulation for the words
|
||||
const simulation = d3.forceSimulation(topWords)
|
||||
.force('charge', d3.forceManyBody().strength(5))
|
||||
.force('collide', d3.forceCollide(d => fontSize(d) / 2 + 2))
|
||||
.force('x', d3.forceX(d => {
|
||||
const angle = (d.index / topWords.length) * Math.PI - Math.PI/2;
|
||||
return Math.cos(angle) * (height * 0.3);
|
||||
}))
|
||||
.force('y', d3.forceY(d => {
|
||||
const angle = (d.index / topWords.length) * Math.PI - Math.PI/2;
|
||||
return Math.sin(angle) * (height * 0.3) - height * 0.4;
|
||||
}));
|
||||
|
||||
// Create word elements
|
||||
const words = svg.selectAll('.word')
|
||||
.data(topWords)
|
||||
.enter()
|
||||
.append('text')
|
||||
.attr('class', 'word')
|
||||
.style('fill', d => d3.interpolateGreenYellow(d.value / maxCount))
|
||||
.style('font-size', d => `${fontSize(d)}px`)
|
||||
.style('font-family', '"Space Grotesk", sans-serif')
|
||||
.style('cursor', 'pointer')
|
||||
.text(d => d.text)
|
||||
.style('opacity', 0)
|
||||
.on('mouseover', function(event, d) {
|
||||
d3.select(this)
|
||||
.transition()
|
||||
.duration(200)
|
||||
.style('fill', '#39ff14')
|
||||
.style('font-size', d => `${fontSize(d) * 1.2}px`)
|
||||
.style('text-shadow', '0 0 10px rgba(57, 255, 20, 0.5)');
|
||||
})
|
||||
.on('mouseout', function(event, d) {
|
||||
d3.select(this)
|
||||
.transition()
|
||||
.duration(200)
|
||||
.style('fill', d3.interpolateGreenYellow(d.value / maxCount))
|
||||
.style('font-size', d => `${fontSize(d)}px`)
|
||||
.style('text-shadow', 'none');
|
||||
});
|
||||
|
||||
// Add transition for words appearing
|
||||
words.transition()
|
||||
.delay((d, i) => 2000 + i * 50)
|
||||
.duration(500)
|
||||
.style('opacity', 1);
|
||||
|
||||
// Update word positions on each tick
|
||||
simulation.on('tick', () => {
|
||||
words
|
||||
.attr('x', d => d.x)
|
||||
.attr('y', d => d.y)
|
||||
.attr('text-anchor', 'middle')
|
||||
.attr('alignment-baseline', 'middle');
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Function to share words
|
||||
function shareResults() {
|
||||
const words = JSON.parse(localStorage.getItem('roots-words')) || {};
|
||||
const totalWords = Object.values(words).reduce((a, b) => a + b, 0);
|
||||
const uniqueWords = Object.keys(words).length;
|
||||
|
||||
const topWords = Object.entries(words)
|
||||
.sort((a, b) => b[1] - a[1])
|
||||
.slice(0, 5)
|
||||
.map(([word, count]) => word)
|
||||
.join(', ');
|
||||
|
||||
const shareText = `I've planted ${totalWords} words (${uniqueWords} unique) to help grow the future of AI with R00TS! Top contributions: ${topWords}`;
|
||||
|
||||
// In a real implementation, this would integrate with social sharing APIs
|
||||
// For demo purposes, we'll just copy to clipboard
|
||||
navigator.clipboard.writeText(shareText)
|
||||
.then(() => alert('Share text copied to clipboard!'))
|
||||
.catch(err => console.error('Failed to copy: ', err));
|
||||
}
|
||||
178
styles.css
Normal file
178
styles.css
Normal file
@@ -0,0 +1,178 @@
|
||||
/* R00TS - Core Styles */
|
||||
body {
|
||||
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
|
||||
background-color: #f0f2f5;
|
||||
color: #212529;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
line-height: 1.6;
|
||||
}
|
||||
|
||||
.container {
|
||||
max-width: 800px;
|
||||
margin: 0 auto;
|
||||
padding: 20px;
|
||||
}
|
||||
|
||||
/* Header Styles */
|
||||
.header {
|
||||
text-align: center;
|
||||
margin-bottom: 30px;
|
||||
padding: 20px 0;
|
||||
}
|
||||
|
||||
.header h1 {
|
||||
font-weight: 700;
|
||||
color: #2e2e2e;
|
||||
margin-bottom: 10px;
|
||||
font-size: 3rem;
|
||||
}
|
||||
|
||||
.r00ts-brand {
|
||||
font-family: monospace;
|
||||
font-weight: bold;
|
||||
letter-spacing: 1px;
|
||||
}
|
||||
|
||||
.header .lead {
|
||||
color: #555;
|
||||
font-size: 1.2rem;
|
||||
}
|
||||
|
||||
/* Input Area Styles */
|
||||
.input-area {
|
||||
background-color: #ffffff;
|
||||
padding: 20px;
|
||||
border-radius: 10px;
|
||||
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
|
||||
margin-bottom: 30px;
|
||||
}
|
||||
|
||||
.input-area label {
|
||||
font-weight: 600;
|
||||
color: #495057;
|
||||
}
|
||||
|
||||
.form-control:focus {
|
||||
border-color: #80bdff;
|
||||
box-shadow: 0 0 0 0.2rem rgba(0, 123, 255, 0.25);
|
||||
}
|
||||
|
||||
/* Word Cloud Styles */
|
||||
.word-cloud {
|
||||
width: 100%;
|
||||
height: 400px;
|
||||
margin-top: 30px;
|
||||
background-color: #ffffff;
|
||||
border-radius: 10px;
|
||||
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
|
||||
overflow: hidden;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.word-item {
|
||||
transition: all 0.2s ease;
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
/* Statistics Styles */
|
||||
.stats-area {
|
||||
display: flex;
|
||||
justify-content: space-around;
|
||||
margin: 20px 0;
|
||||
}
|
||||
|
||||
.stat-box {
|
||||
text-align: center;
|
||||
padding: 10px;
|
||||
background-color: #ffffff;
|
||||
border-radius: 10px;
|
||||
box-shadow: 0 2px 4px rgba(0, 0, 0, 0.1);
|
||||
flex: 1;
|
||||
margin: 0 10px;
|
||||
}
|
||||
|
||||
.stat-box h3 {
|
||||
margin: 0;
|
||||
font-size: 1rem;
|
||||
color: #6c757d;
|
||||
}
|
||||
|
||||
.stat-box p {
|
||||
margin: 5px 0 0;
|
||||
font-size: 1.5rem;
|
||||
font-weight: 700;
|
||||
color: #4a6fa5;
|
||||
}
|
||||
|
||||
/* Footer Styles */
|
||||
.footer {
|
||||
text-align: center;
|
||||
margin-top: 30px;
|
||||
padding: 20px 0;
|
||||
color: #6c757d;
|
||||
font-size: 0.9rem;
|
||||
border-top: 1px solid #dee2e6;
|
||||
}
|
||||
|
||||
/* Button Styles */
|
||||
.btn-primary {
|
||||
background-color: #4a6fa5;
|
||||
border: none;
|
||||
padding: 10px 20px;
|
||||
transition: background-color 0.2s;
|
||||
}
|
||||
|
||||
.btn-primary:hover {
|
||||
background-color: #3a5a8c;
|
||||
}
|
||||
|
||||
/* Responsive Adjustments */
|
||||
@media (max-width: 576px) {
|
||||
.container {
|
||||
padding: 10px;
|
||||
}
|
||||
|
||||
.word-cloud {
|
||||
height: 300px;
|
||||
}
|
||||
|
||||
.stats-area {
|
||||
flex-direction: column;
|
||||
}
|
||||
|
||||
.stat-box {
|
||||
margin: 5px 0;
|
||||
}
|
||||
|
||||
.header h1 {
|
||||
font-size: 2.5rem;
|
||||
}
|
||||
}
|
||||
|
||||
/* Share button */
|
||||
.share-btn {
|
||||
display: inline-block;
|
||||
background-color: #4a6fa5;
|
||||
color: white;
|
||||
border: none;
|
||||
border-radius: 50px;
|
||||
padding: 8px 20px;
|
||||
margin-top: 10px;
|
||||
cursor: pointer;
|
||||
transition: background-color 0.2s;
|
||||
}
|
||||
|
||||
.share-btn:hover {
|
||||
background-color: #3a5a8c;
|
||||
}
|
||||
|
||||
/* Animation for word addition */
|
||||
@keyframes grow {
|
||||
0% { transform: scale(0); opacity: 0; }
|
||||
100% { transform: scale(1); opacity: 1; }
|
||||
}
|
||||
|
||||
.word-added {
|
||||
animation: grow 0.5s ease-out;
|
||||
}
|
||||
Reference in New Issue
Block a user