670 lines
20 KiB
HTML
670 lines
20 KiB
HTML
<!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>Chat</title>
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<link rel="stylesheet" href="style.css">
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<script src="https://cdn.jsdelivr.net/npm/marked/marked.min.js"></script>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/styles/github-dark.min.css">
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<script src="https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.8.0/highlight.min.js"></script>
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</head>
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<body>
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<div id="chatContainer">
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<div id="header">
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<div>Chat with Streaming</div>
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<div style="font-size: 0.9em; opacity: 0.9; display: flex; align-items: center; gap: 15px; flex-wrap: wrap;">
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<div style="display: flex; align-items: center; gap: 8px;">
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<span>Backend:</span>
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<select id="backendSelector" style="padding: 4px 8px; border-radius: 4px; border: 1px solid #444; background: #2a2a2a; color: #e0e0e0;">
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<option value="ollama">Ollama (192.168.1.159:8081)</option>
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<option value="plato">Plato (192.168.1.74)</option>
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<option value="stoic">Stoic (192.168.1.159)</option>
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</select>
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</div>
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<div style="display: flex; align-items: center; gap: 8px;">
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<span>Model:</span>
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<select id="modelSelector" style="padding: 4px 8px; border-radius: 4px; border: 1px solid #444; background: #2a2a2a; color: #e0e0e0; min-width: 200px;">
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<option value="">Loading models...</option>
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</select>
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</div>
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<code id="backendDisplay" style="font-size: 0.85em;"></code>
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</div>
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</div>
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<div id="chatLog"></div>
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<div id="inputArea">
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<textarea
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id="userInput"
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placeholder="Type your message here... (Shift+Enter for new line, Enter to send)"
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rows="1"
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oninput="autoResize(this)"
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></textarea>
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<div style="display: flex; justify-content: space-between; align-items: center;">
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<div class="controls">
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<div>
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<label>
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<input type="checkbox" id="streamToggle" checked> Streaming
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</label>
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<label style="margin-left: 15px;">
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<input type="checkbox" id="markdownToggle" checked> Markdown
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</label>
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</div>
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<div id="modelInfo">Model: <span id="modelName">unknown</span></div>
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</div>
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<button id="sendBtn">Send</button>
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</div>
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</div>
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</div>
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<script>
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// Configuration
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const BACKENDS = {
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plato : {
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prod: '/api/plato',
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dev : 'http://192.168.1.74:1234/v1',
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name: 'Plato (192.168.1.74)'
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},
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stoic : {
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prod: '/api/stoic',
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dev : 'http://192.168.1.159:1234/v1',
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name: 'Stoic (192.168.1.159)'
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},
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ollama: {
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prod: '/api/ollama',
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dev : 'http://192.168.1.159:8081/v1',
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name: 'Ollama (192.168.1.159:8081)'
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}
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}
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const IS_PRODUCTION = window.location.hostname === 'jarvis-lan.appmodel.nl'
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const API_KEY = 'not-needed'
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// Global state
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let currentBackend = 'plato'
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let currentModel = null
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let availableModels = []
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let currentStreamController = null
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let isStreaming = false
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let chatHistory = [] // Initialize chat history array
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// Get current API URL based on selected backend
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function getApiUrl() {
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const backend = BACKENDS[currentBackend]
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return IS_PRODUCTION ? backend.prod : backend.dev
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}
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// Update backend display
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function updateBackendDisplay() {
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const backend = BACKENDS[currentBackend]
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const displayText = IS_PRODUCTION
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? `${ backend.prod } → ${ backend.name }`
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: backend.dev
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document.getElementById('backendDisplay').textContent = displayText
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}
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// Fetch available models from backend
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async function fetchModels() {
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try {
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const response = await fetch(`${ getApiUrl() }/models`)
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if (response.ok) {
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const data = await response.json()
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availableModels = data.data || []
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populateModelSelector()
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// Auto-select first model if none selected
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if (!currentModel && availableModels.length > 0) {
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currentModel = availableModels[0].id
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document.getElementById('modelSelector').value = currentModel
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}
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} else {
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console.error('Failed to fetch models:', response.statusText)
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document.getElementById('modelSelector').innerHTML = '<option value="">Error loading models</option>'
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}
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} catch (error) {
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console.error('Error fetching models:', error)
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document.getElementById('modelSelector').innerHTML = '<option value="">Error loading models</option>'
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}
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}
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// Populate model selector dropdown
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function populateModelSelector() {
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const selector = document.getElementById('modelSelector')
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if (availableModels.length === 0) {
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selector.innerHTML = '<option value="">No models available</option>'
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return
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}
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selector.innerHTML = availableModels.map(model =>
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`<option value="${ model.id }">${ model.id }</option>`
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).join('')
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if (currentModel) {
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selector.value = currentModel
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}
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}
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// Handle backend and model selection changes
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document.addEventListener('DOMContentLoaded', () => {
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const backendSelector = document.getElementById('backendSelector')
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const modelSelector = document.getElementById('modelSelector')
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backendSelector.value = currentBackend
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updateBackendDisplay()
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fetchModels()
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backendSelector.addEventListener('change', (e) => {
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currentBackend = e.target.value
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updateBackendDisplay()
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console.log('Backend switched to:', currentBackend, '→', getApiUrl())
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fetchModels() // Reload models for new backend
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})
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modelSelector.addEventListener('change', (e) => {
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currentModel = e.target.value
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console.log('Model selected:', currentModel)
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})
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})
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// DOM Elements
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const chatLog = document.getElementById('chatLog')
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const userInput = document.getElementById('userInput')
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const sendBtn = document.getElementById('sendBtn')
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const streamToggle = document.getElementById('streamToggle')
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const markdownToggle = document.getElementById('markdownToggle')
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const modelNameSpan = document.getElementById('modelName')
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// Initialize marked with options
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marked.setOptions({
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gfm : true,
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breaks : true,
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highlight: function(code, lang) {
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if (window.hljs) {
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const language = hljs.getLanguage(lang) ? lang : 'plaintext'
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return hljs.highlight(code, { language }).value
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}
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return code
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}
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})
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// Auto-resize textarea
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function autoResize(textarea) {
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textarea.style.height = 'auto'
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textarea.style.height = Math.min(textarea.scrollHeight, 300) + 'px'
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}
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// Old fetchModels function removed - now handled in DOMContentLoaded
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// Add message to chat
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function addMessage(role, content, markdown = false, messageId = null) {
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const messageDiv = document.createElement('div')
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messageDiv.className = `message message-${ role }`
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if (messageId) {
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messageDiv.id = messageId
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}
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const headerDiv = document.createElement('div')
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headerDiv.className = `message-header ${ role }`
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const avatar = document.createElement('div')
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avatar.className = `avatar ${ role }-avatar`
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avatar.textContent = role === 'user' ? '👤' : '🤖'
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const name = document.createElement('span')
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name.textContent = role === 'user' ? 'You' : 'Assistant'
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headerDiv.appendChild(avatar)
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headerDiv.appendChild(name)
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const contentDiv = document.createElement('div')
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if (markdown && role === 'assistant' && markdownToggle.checked) {
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contentDiv.className = 'markdown-content'
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// Parse thinking tags before markdown
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const processedContent = parseThinkingTags(content)
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contentDiv.innerHTML = marked.parse(processedContent)
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// Apply syntax highlighting if hljs is available
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if (window.hljs) {
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setTimeout(() => {
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contentDiv.querySelectorAll('pre code').forEach((block) => {
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hljs.highlightElement(block)
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})
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}, 0)
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}
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} else {
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// Parse thinking tags for non-markdown too
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const processedContent = parseThinkingTags(content)
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contentDiv.innerHTML = processedContent
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contentDiv.style.whiteSpace = 'pre-wrap'
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contentDiv.style.padding = '8px 0'
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contentDiv.style.color = '#2d3339'
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}
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messageDiv.appendChild(headerDiv)
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messageDiv.appendChild(contentDiv)
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chatLog.appendChild(messageDiv)
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chatLog.scrollTop = chatLog.scrollHeight
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// Add message to chat history
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chatHistory.push({ role, content, markdown, messageId })
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return contentDiv
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}
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// Parse [THINK] tags and create collapsible sections
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function parseThinkingTags(content) {
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let result = content
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let thinkingCounter = 0
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// Handle complete [THINK]...[/THINK] blocks
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const completeThinkRegex = /\[THINK\]([\s\S]*?)\[\/THINK\]/gi
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result = result.replace(completeThinkRegex, (match, thinkContent) => {
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thinkingCounter++
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const id = `thinking-${ Date.now() }-${ thinkingCounter }`
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return `<div class="thinking-block">
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<div class="thinking-header" onclick="toggleThinking('${ id }')">
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<span class="thinking-toggle" id="${ id }-toggle">▼</span>
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<span>🤔 Thinking...</span>
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</div>
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<div class="thinking-content" id="${ id }">${ thinkContent.trim() }</div>
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</div>`
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})
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// Handle incomplete [THINK] blocks (still streaming)
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const incompleteThinkRegex = /\[THINK\]([\s\S]*?)$/gi
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result = result.replace(incompleteThinkRegex, (match, thinkContent) => {
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thinkingCounter++
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const id = `thinking-${ Date.now() }-${ thinkingCounter }`
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return `<div class="thinking-block">
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<div class="thinking-header" onclick="toggleThinking('${ id }')">
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<span class="thinking-toggle" id="${ id }-toggle">▼</span>
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<span>🤔 Thinking...</span>
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</div>
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<div class="thinking-content" id="${ id }">${ thinkContent.trim() }</div>
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</div>`
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})
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return result
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}
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// Toggle thinking section visibility
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window.toggleThinking = function(id) {
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const content = document.getElementById(id)
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const toggle = document.getElementById(id + '-toggle')
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if (content && toggle) {
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content.classList.toggle('hidden')
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toggle.classList.toggle('collapsed')
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}
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}
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// Update message content (for streaming)
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function updateMessageContent(contentDiv, newContent, markdown = false) {
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// Parse thinking tags first
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const processedContent = parseThinkingTags(newContent)
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if (markdown && markdownToggle.checked) {
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contentDiv.innerHTML = marked.parse(processedContent)
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if (window.hljs) {
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setTimeout(() => {
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contentDiv.querySelectorAll('pre code').forEach((block) => {
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hljs.highlightElement(block)
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})
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}, 0)
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}
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} else {
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contentDiv.textContent = newContent
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}
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}
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// Show typing indicator
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function showTypingIndicator() {
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const typingDiv = document.createElement('div')
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typingDiv.id = 'typingIndicator'
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typingDiv.className = 'message message-assistant'
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const headerDiv = document.createElement('div')
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headerDiv.className = 'message-header assistant'
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const avatar = document.createElement('div')
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avatar.className = 'avatar assistant-avatar'
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avatar.textContent = '🤖'
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const name = document.createElement('span')
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name.textContent = 'Assistant'
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headerDiv.appendChild(avatar)
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headerDiv.appendChild(name)
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const dotsDiv = document.createElement('div')
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dotsDiv.className = 'typing-indicator'
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dotsDiv.innerHTML = `
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<div class="typing-dot"></div>
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<div class="typing-dot"></div>
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<div class="typing-dot"></div>
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<span style="margin-left: 8px;">Thinking...</span>
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`
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typingDiv.appendChild(headerDiv)
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typingDiv.appendChild(dotsDiv)
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chatLog.appendChild(typingDiv)
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chatLog.scrollTop = chatLog.scrollHeight
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return typingDiv
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}
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// Remove typing indicator
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function removeTypingIndicator(typingDiv) {
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if (typingDiv && typingDiv.parentNode) {
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typingDiv.parentNode.removeChild(typingDiv)
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}
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}
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// Handle streaming response
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async function handleStreamingResponse(userMessage) {
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const messageId = 'msg-' + Date.now()
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let accumulatedContent = ''
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let contentDiv = null
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// Create initial empty message
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const messageDiv = document.createElement('div')
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messageDiv.className = 'message message-assistant'
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messageDiv.id = messageId
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const headerDiv = document.createElement('div')
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headerDiv.className = 'message-header assistant'
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const avatar = document.createElement('div')
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avatar.className = 'avatar assistant-avatar'
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avatar.textContent = '🤖'
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const name = document.createElement('span')
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name.textContent = 'Assistant'
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headerDiv.appendChild(avatar)
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headerDiv.appendChild(name)
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contentDiv = document.createElement('div')
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contentDiv.className = 'markdown-content'
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messageDiv.appendChild(headerDiv)
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messageDiv.appendChild(contentDiv)
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chatLog.appendChild(messageDiv)
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// Add streaming cursor
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const cursorSpan = document.createElement('span')
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cursorSpan.className = 'streaming-cursor'
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contentDiv.appendChild(cursorSpan)
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try {
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// Auto-select first model if none selected
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if (!currentModel && availableModels.length > 0) {
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currentModel = availableModels[0].id
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document.getElementById('modelSelector').value = currentModel
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}
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const requestBody = {
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model : currentModel || 'local-model',
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messages : [{ role: 'user', content: userMessage }],
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stream : true,
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temperature: 0.7,
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max_tokens : 2000
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}
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const response = await fetch(`${ getApiUrl() }/chat/completions`, {
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method : 'POST',
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headers: {
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'Content-Type' : 'application/json',
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'Authorization': `Bearer ${ API_KEY }`
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},
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body : JSON.stringify(requestBody)
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})
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if (!response.ok) {
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throw new Error(`API Error: ${ response.status } ${ response.statusText }`)
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}
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const reader = response.body.getReader()
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const decoder = new TextDecoder()
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isStreaming = true
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currentStreamController = new AbortController()
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// Debounce DOM updates to reduce stutter
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let updateScheduled = false
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let lastUpdate = Date.now()
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const MIN_UPDATE_INTERVAL = 100 // ms, update at most every 100ms
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function scheduleUpdate() {
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if (updateScheduled) return
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const now = Date.now()
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const timeSinceLastUpdate = now - lastUpdate
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if (timeSinceLastUpdate >= MIN_UPDATE_INTERVAL) {
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// Update immediately if enough time has passed
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updateScheduled = true
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requestAnimationFrame(() => {
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updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
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if (cursorSpan.parentNode) {
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contentDiv.appendChild(cursorSpan)
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}
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chatLog.scrollTop = chatLog.scrollHeight
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lastUpdate = Date.now()
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updateScheduled = false
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})
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} else {
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// Schedule update after remaining time
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updateScheduled = true
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setTimeout(() => {
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requestAnimationFrame(() => {
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updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
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if (cursorSpan.parentNode) {
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contentDiv.appendChild(cursorSpan)
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}
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chatLog.scrollTop = chatLog.scrollHeight
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lastUpdate = Date.now()
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updateScheduled = false
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})
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}, MIN_UPDATE_INTERVAL - timeSinceLastUpdate)
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}
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}
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while (true) {
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const { done, value } = await reader.read()
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if (done) break
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const chunk = decoder.decode(value)
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const lines = chunk.split('\n').filter(line => line.trim() !== '')
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for (const line of lines) {
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if (line.startsWith('data: ')) {
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const data = line.slice(6)
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if (data === '[DONE]') {
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isStreaming = false
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currentStreamController = null
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// Final update and remove cursor
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updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
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if (cursorSpan.parentNode) {
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cursorSpan.parentNode.removeChild(cursorSpan)
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}
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chatLog.scrollTop = chatLog.scrollHeight
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return
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}
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try {
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const parsed = JSON.parse(data)
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if (parsed.choices && parsed.choices[0].delta.content) {
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accumulatedContent += parsed.choices[0].delta.content
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scheduleUpdate()
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}
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} catch (e) {
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console.log('Error parsing stream data:', e)
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}
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}
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}
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}
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// Final update
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updateMessageContent(contentDiv, accumulatedContent, markdownToggle.checked)
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chatLog.scrollTop = chatLog.scrollHeight
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} catch (error) {
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console.error('Streaming error:', error)
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if (error.name !== 'AbortError') {
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updateMessageContent(contentDiv, `Error: ${ error.message }`, false)
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}
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} finally {
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isStreaming = false
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currentStreamController = null
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sendBtn.disabled = false
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userInput.focus()
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// Remove cursor if still exists
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if (cursorSpan.parentNode) {
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cursorSpan.parentNode.removeChild(cursorSpan)
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}
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}
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}
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// Handle non-streaming response
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async function handleNonStreamingResponse(userMessage) {
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const typingIndicator = showTypingIndicator()
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try {
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// Auto-select first model if none selected
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|
if (!currentModel && availableModels.length > 0) {
|
|
currentModel = availableModels[0].id
|
|
document.getElementById('modelSelector').value = currentModel
|
|
}
|
|
|
|
const requestBody = {
|
|
model : currentModel || 'local-model',
|
|
messages : [{ role: 'user', content: userMessage }],
|
|
stream : false,
|
|
temperature: 0.7,
|
|
max_tokens : 2000
|
|
}
|
|
|
|
const response = await fetch(`${ getApiUrl() }/chat/completions`, {
|
|
method : 'POST',
|
|
headers: {
|
|
'Content-Type' : 'application/json',
|
|
'Authorization': `Bearer ${ API_KEY }`
|
|
},
|
|
body : JSON.stringify(requestBody)
|
|
})
|
|
|
|
if (!response.ok) {
|
|
throw new Error(`API Error: ${ response.status } ${ response.statusText }`)
|
|
}
|
|
|
|
const data = await response.json()
|
|
removeTypingIndicator(typingIndicator)
|
|
|
|
if (data.choices && data.choices.length > 0) {
|
|
const assistantReply = data.choices[0].message.content
|
|
addMessage('assistant', assistantReply, markdownToggle.checked)
|
|
} else {
|
|
addMessage('assistant', 'No response generated.', false)
|
|
}
|
|
|
|
} catch (error) {
|
|
console.error('Error:', error)
|
|
removeTypingIndicator(typingIndicator)
|
|
addMessage('assistant', `Error: ${ error.message }`, false)
|
|
} finally {
|
|
sendBtn.disabled = false
|
|
userInput.focus()
|
|
}
|
|
}
|
|
|
|
function loadChatHistory() {
|
|
chatHistory.forEach(message => {
|
|
addMessage(message.role, message.content, message.markdown, message.messageId)
|
|
})
|
|
}
|
|
|
|
// Stop current stream
|
|
function stopStream() {
|
|
if (currentStreamController) {
|
|
currentStreamController.abort()
|
|
isStreaming = false
|
|
currentStreamController = null
|
|
sendBtn.disabled = false
|
|
sendBtn.textContent = 'Send'
|
|
}
|
|
}
|
|
|
|
// Send message
|
|
async function sendMessage() {
|
|
const userMessage = userInput.value.trim()
|
|
if (!userMessage || isStreaming) return
|
|
|
|
addMessage('user', userMessage)
|
|
userInput.value = ''
|
|
userInput.style.height = 'auto'
|
|
sendBtn.disabled = true
|
|
|
|
if (streamToggle.checked) {
|
|
sendBtn.textContent = 'Stop'
|
|
handleStreamingResponse(userMessage)
|
|
} else {
|
|
handleNonStreamingResponse(userMessage)
|
|
}
|
|
}
|
|
|
|
// Event Listeners
|
|
sendBtn.addEventListener('click', () => {
|
|
if (isStreaming) {
|
|
stopStream()
|
|
} else {
|
|
sendMessage()
|
|
}
|
|
})
|
|
|
|
userInput.addEventListener('keydown', (e) => {
|
|
if (e.key === 'Enter' && !e.shiftKey) {
|
|
e.preventDefault()
|
|
if (!isStreaming) {
|
|
sendMessage()
|
|
}
|
|
}
|
|
})
|
|
|
|
// Initialize on load
|
|
window.onload = () => {
|
|
userInput.focus()
|
|
fetchModels()
|
|
|
|
// Load chat history
|
|
loadChatHistory()
|
|
|
|
// Add welcome message
|
|
setTimeout(() => {
|
|
const welcomeMessage = `# Welcome to LM Studio Chat! 🚀
|
|
|
|
I now support **real-time streaming responses** and **dark, readable text formatting**.
|
|
|
|
## Features:
|
|
1. **Streaming Mode** (enabled by default) - Watch responses appear word-by-word
|
|
2. **Markdown Rendering** - Proper formatting for code, lists, tables, and more
|
|
3. **Readable Dark Text** - No more eye strain from light gray text
|
|
4. **Model Detection** - Automatically shows your loaded model
|
|
|
|
## Try it out:
|
|
- Ask a technical question to see **code formatting**
|
|
- Type \`ls -la\` in a code block
|
|
- Request a **numbered list** or table
|
|
- Watch the streaming response in real-time!
|
|
|
|
> *Tip: You can toggle streaming and markdown using the checkboxes below.*`
|
|
addMessage('assistant', welcomeMessage, true)
|
|
}, 500)
|
|
}
|
|
</script>
|
|
</body>
|
|
</html>
|