File size: 9,002 Bytes
ffe44f7 b56a800 ffe44f7 b56a800 ffe44f7 b56a800 ffe44f7 b56a800 ffe44f7 b56a800 ffe44f7 a8ffa2e ffe44f7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 | class ChatComponent extends HTMLElement {
constructor() {
super();
this.client = null;
this.messages = [
{
role: "assistant",
content: "Hello! I'm your AI assistant. How can I help you today?"
}
];
}
connectedCallback() {
this.attachShadow({ mode: 'open' });
this.render();
this.initializeOpenAI();
this.setupEventListeners();
}
render() {
this.shadowRoot.innerHTML = `
<style>
:host {
display: block;
width: 100%;
height: 100%;
}
.chat-container {
display: flex;
flex-direction: column;
height: 100%;
background: rgba(31, 41, 55, 0.8);
backdrop-filter: blur(10px);
border-radius: 0.75rem;
border: 1px solid rgba(75, 85, 99, 0.5);
overflow: hidden;
}
.messages-container {
flex: 1;
overflow-y: auto;
padding: 1rem;
display: flex;
flex-direction: column;
gap: 1rem;
}
.message {
max-width: 80%;
padding: 1rem;
border-radius: 12px;
animation: slideIn 0.3s ease-out;
}
.message-user {
align-self: flex-end;
background: linear-gradient(135deg, #3b82f6, #8b5cf6);
}
.message-ai {
align-self: flex-start;
background: rgba(55, 65, 81, 0.8);
}
.message-header {
display: flex;
align-items: center;
gap: 0.5rem;
margin-bottom: 0.5rem;
font-weight: 600;
}
.input-container {
padding: 1rem;
border-top: 1px solid rgba(75, 85, 99, 0.5);
background: rgba(31, 41, 55, 0.9);
}
.input-form {
display: flex;
gap: 0.5rem;
}
.message-input {
flex: 1;
background: rgba(55, 65, 81, 0.5);
border: 1px solid #4b5563;
border-radius: 0.5rem;
padding: 0.75rem 1rem;
color: #f3f4f6;
font-family: inherit;
}
.message-input:focus {
outline: none;
border-color: #3b82f6;
box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1);
}
.send-button {
background: #3b82f6;
color: white;
border: none;
border-radius: 0.5rem;
padding: 0 1.5rem;
cursor: pointer;
transition: all 0.2s;
}
.send-button:hover {
background: #2563eb;
}
.typing-indicator {
display: flex;
align-self: flex-start;
background: rgba(55, 65, 81, 0.8);
padding: 1rem;
border-radius: 12px 12px 12px 0;
gap: 0.25rem;
}
.typing-dot {
width: 0.5rem;
height: 0.5rem;
background: #9ca3af;
border-radius: 50%;
animation: typing 1.4s infinite ease-in-out;
}
.typing-dot:nth-child(1) { animation-delay: 0s; }
.typing-dot:nth-child(2) { animation-delay: 0.2s; }
.typing-dot:nth-child(3) { animation-delay: 0.4s; }
@keyframes slideIn {
from { opacity: 0; transform: translateY(20px); }
to { opacity: 1; transform: translateY(0); }
}
@keyframes typing {
0%, 60%, 100% { transform: translateY(0); }
30% { transform: translateY(-5px); }
}
</style>
<div class="chat-container">
<div class="messages-container" id="messagesContainer">
<!-- Messages will be inserted here -->
</div>
<div class="input-container">
<form class="input-form" id="chatForm">
<input type="text" class="message-input" id="messageInput" placeholder="Type your message..." autocomplete="off">
<button type="submit" class="send-button" id="sendButton">
<i data-feather="send"></i>
</button>
</form>
</div>
</div>
`;
}
initializeOpenAI() {
// Note: In a real implementation, the API key should be handled securely on the server-side
// This is just for demonstration purposes
try {
// Load Feather icons
const script = document.createElement('script');
script.src = "https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js";
script.onload = () => {
if (this.shadowRoot) {
window.feather.replace();
}
};
this.shadowRoot.appendChild(script);
} catch (error) {
console.error('Error initializing OpenAI:', error);
}
}
setupEventListeners() {
const form = this.shadowRoot.getElementById('chatForm');
const input = this.shadowRoot.getElementById('messageInput');
form.addEventListener('submit', async (e) => {
e.preventDefault();
const message = input.value.trim();
if (message) {
this.sendMessage(message);
input.value = '';
}
});
// Load initial messages
this.loadMessages();
}
loadMessages() {
const container = this.shadowRoot.getElementById('messagesContainer');
container.innerHTML = '';
this.messages.forEach(msg => {
this.displayMessage(msg);
});
container.scrollTop = container.scrollHeight;
}
displayMessage(message) {
const container = this.shadowRoot.getElementById('messagesContainer');
if (!container) return;
const messageDiv = document.createElement('div');
messageDiv.className = `message message-${message.role || 'user'}`;
let icon = 'user';
let name = 'You';
if (message.role === 'assistant') {
icon = 'cpu';
name = 'AI Assistant';
}
const safeContent = (message.content && String(message.content)) || '';
messageDiv.innerHTML = `
<div class="message-header">
<i data-feather="${icon}" style="width: 16px; height: 16px;"></i>
<span>${name}</span>
</div>
<div>${safeContent}</div>
`;
container.appendChild(messageDiv);
if (typeof window.feather !== 'undefined' && window.feather.replace) {
window.feather.replace();
}
container.scrollTop = container.scrollHeight;
}
showTypingIndicator() {
const container = this.shadowRoot.getElementById('messagesContainer');
const typingDiv = document.createElement('div');
typingDiv.className = 'typing-indicator';
typingDiv.id = 'typingIndicator';
typingDiv.innerHTML = `
<div class="typing-dot"></div>
<div class="typing-dot"></div>
<div class="typing-dot"></div>
`;
container.appendChild(typingDiv);
container.scrollTop = container.scrollHeight;
}
hideTypingIndicator() {
const indicator = this.shadowRoot.getElementById('typingIndicator');
if (indicator) {
indicator.remove();
}
}
async sendMessage(content) {
// Add user message to UI
const userMessage = { role: 'user', content };
this.messages.push(userMessage);
this.displayMessage(userMessage);
// Show typing indicator
this.showTypingIndicator();
try {
// In a real implementation, this would call the actual API
// For now, we'll simulate a response
const response = await this.getAIResponse(content);
// Add AI response to UI
const aiMessage = { role: 'assistant', content: response };
this.messages.push(aiMessage);
this.hideTypingIndicator();
this.displayMessage(aiMessage);
} catch (error) {
console.error('Error getting AI response:', error);
this.hideTypingIndicator();
const errorMessage = {
role: 'assistant',
content: 'Sorry, I encountered an error. Please try again.'
};
this.messages.push(errorMessage);
this.displayMessage(errorMessage);
}
}
async getAIResponse(prompt) {
// Simulate API delay
await new Promise(resolve => setTimeout(resolve, 1000 + Math.random() * 2000));
// Simple response logic for demonstration
const responses = [
"I understand your question about \"" + prompt + "\". Based on my analysis, this is an important topic that requires careful consideration.",
"Thanks for asking about \"" + prompt + "\". I've processed your request and here's what I found...",
"Regarding \"" + prompt + "\", I can provide some insights. This is a complex matter with several factors to consider.",
"I've analyzed your query about \"" + prompt + "\". Here's what I recommend based on current best practices.",
"That's an interesting question about \"" + prompt + "\". Let me break this down for you..."
];
return responses[Math.floor(Math.random() * responses.length)] +
" This is a simulated response. In a real implementation, this would connect to the Gemma v4 API.";
}
}
customElements.define('chat-component', ChatComponent); |