secutorpro's picture
🐳 27/05 - 09:33 - ajouté gemma v4 a la place de llama
a8ffa2e verified
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);