// ================================================== // Project Imports // ================================================== // App.jsx import React, { useEffect, useRef, useState } from 'react'; import ReactDOM from 'react-dom/client'; import * as THREE from 'three'; // Lemonmilk font imports const fontStyles = ` @font-face { font-family: 'Lemonmilk'; src: url('https://play.rosebud.ai/assets/LEMONMILK-Regular.otf?dXgs') format('opentype'); font-weight: 400; font-style: normal; } @font-face { font-family: 'Lemonmilk'; src: url('https://play.rosebud.ai/assets/LEMONMILK-Bold.otf?R7EG') format('opentype'); font-weight: 700; font-style: normal; } @font-face { font-family: 'Lemonmilk'; src: url('https://play.rosebud.ai/assets/LEMONMILK-Light.otf?ICZt') format('opentype'); font-weight: 300; font-style: normal; } @font-face { font-family: 'Lemonmilk'; src: url('https://play.rosebud.ai/assets/LEMONMILK-Medium.otf?5Uh8') format('opentype'); font-weight: 500; font-style: normal; } `; // Inject font styles const styleSheet = document.createElement('style'); styleSheet.innerText = fontStyles; document.head.appendChild(styleSheet); // ================================================== // General Notes for Rosie AI // ================================================== // Note: In sandboxed environments, avoid using

elements and traditional // form submissions as they may be blocked by security policies. Instead, use // controlled components with direct event handlers (onClick, onChange, etc.). // ================================================== // ChatAIClass Definition // ================================================== // This module provides a class, ChatAIClass, which uses a ChatManager (provided externally) // to conduct a conversation with an AI. The AI's behavior is defined by a description string, // and the ChatAIClass offers a simple getResponse method to get AI responses. // // This is AI is powered by Rosebud AI and is Rosebud's method to add in-game AI features. // // IMPORTANT NOTE: // - Do not assume how ChatManager works beyond what is described here. // - We only know that: // 1. ChatManager is constructed by passing in a description string. // 2. We can add messages by calling chatManager.addMessage('user', prompt). // 3. We can get an AI-generated response by calling chatManager.getCharacterResponse('classify'). // - Any other assumptions about ChatManager internals or methods should not be made. // // This code can be used in any JS project by simply importing this class and using it. ////////////////////////////////////////////////////////////// // Defines how the AI should behave. This should change to match the project. const AI_BEHAVIOR_DESCRIPTION = ` You are an advanced and knowledgeable AI system capable of assisting users with a wide range of topics. You should respond concisely and helpfully, ensuring that the information you provide is accurate, clear, and context-aware. `; /** * ChatAIClass: * * This class is intended for non-technical users who want to interact with an AI system. * * Usage: * 1. Create an instance of ChatAIClass: * const chat = new ChatAIClass(); * * 2. Call getResponse(prompt) to get a response from the AI: * const answer = await chat.getResponse("What is quantum computing?"); * console.log(answer); */ export class ChatAIClass { constructor() { // Directly create a new ChatManager instance with the AI behavior description. // We assume ChatManager is available globally or imported from elsewhere. this.chatManager = new ChatManager(AI_BEHAVIOR_DESCRIPTION); } /** * Generates a response from the AI based on the given prompt. * * @param {string} prompt - The user's input or question. * @returns {Promise} - The AI's response as text. */ async getResponse(prompt) { // Add the user's message to the conversation. this.chatManager.addMessage('user', prompt); // Ask the ChatManager for the AI's response and return it. const response = await this.chatManager.getCharacterResponse('classify'); // Add the AI's message to the conversation so it has memory of it. this.chatManager.addMessage('assistant', response); return response; } } // ================================================== // Main App Component with Three.js Scene // ================================================== const App = () => { const mountRef = useRef(null); useEffect(() => { // Scene setup const scene = new THREE.Scene(); const camera = new THREE.PerspectiveCamera(75, window.innerWidth / window.innerHeight, 0.1, 1000); const renderer = new THREE.WebGLRenderer({ alpha: true, antialias: true }); // Handle window resizing const handleResize = () => { const width = window.innerWidth; const height = window.innerHeight; const pixelRatio = window.devicePixelRatio; camera.aspect = width / height; camera.updateProjectionMatrix(); renderer.setSize(width, height); renderer.setPixelRatio(pixelRatio); // Update camera position to maintain cube visibility camera.position.z = 5; }; // Initial setup renderer.setPixelRatio(window.devicePixelRatio); mountRef.current.appendChild(renderer.domElement); handleResize(); // Call once to set initial dimensions window.addEventListener('resize', handleResize); camera.position.z = 5; // Animation const animate = () => { requestAnimationFrame(animate); renderer.render(scene, camera); }; animate(); // Cleanup return () => { window.removeEventListener('resize', handleResize); mountRef.current.removeChild(renderer.domElement); renderer.dispose(); }; }, []); return (

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); }; const container = document.getElementById('renderDiv'); const root = ReactDOM.createRoot(container); root.render();