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Implement full multimodal EmpathyLab with Hume + Human integration
## Features - Multimodal emotion detection: facial (Human) + vocal (Hume EVI) - Created 3 new components: HumeVoiceChat, EmotionFusionDisplay, GazeOverlay - Purple wave animations (#6e42cc) for Hume listening indicator - Eye gaze tracking overlay with bearing/strength visualization - Emotion fusion with conflict detection (polarity mismatch, suppressed anxiety) ## Advanced Human Library - Result interpolation via human.next() for smoother detection - Real-time FPS monitoring (30-frame rolling average) - TensorFlow tensor memory tracking - Enhanced config: minConfidence, maxDetected, warmup, async - Performance stats in UI: FPS + tensor count ## Session Storage - 4 API endpoints: POST/GET/DELETE /api/empathylab/sessions - In-memory Map storage (MongoDB-ready schema) - Save Session and Export JSON buttons - Session metadata: duration, dataPoints, avgFps, emotions ## Orchestrator Context - Added comprehensive EmpathyLab documentation - 7 facial emotions + 48 voice emotions - Gaze tracking, multimodal fusion, use cases - Privacy-first: all CV processing local in browser ## Fixes - Fixed server.js duplicate variable declaration - Updated Vite config COOP headers to 'same-origin-allow-popups' - Improved error handling and type normalization ## Storybook - Added Planner sidebar stories (PlannerSidebar, DraggableItem) - Created reusable SidebarItemCard and SidebarToggleItemCard - Added Material Symbols font to preview-head 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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.storybook/preview-head.html

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<!-- Load the same fonts/icons used by the app so Storybook renders icons correctly -->
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<link
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href="https://fonts.googleapis.com/css2?family=Google+Sans+Display:wght@400;700&family=Google+Sans+Mono&family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20..48,100..700,0..1,-50..200&&family=Space+Mono:ital,wght@0,400;0,700;1,400;1,700&display=block"
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rel="stylesheet"
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/>

CHANGELOG.md

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# Changelog
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2025-10-03: Implemented full multimodal EmpathyLab integration with Hume EVI + Human library: created HumeVoiceChat component with purple wave animations (#6e42cc), EmotionFusionDisplay combining facial + vocal emotions with conflict detection, GazeOverlay for eye tracking visualization (bearing/strength/focus point); added advanced Human library features following official demo patterns (result interpolation via human.next(), real-time FPS monitoring with 30-frame rolling average, TensorFlow tensor memory tracking, enhanced config with minConfidence/maxDetected/warmup); integrated session storage with 4 API endpoints (POST/GET/DELETE /api/empathylab/sessions) storing metadata in-memory Map (MongoDB-ready schema); added Save Session and Export JSON buttons to UI; updated orchestrator context with comprehensive EmpathyLab capabilities (7 facial emotions, 48 voice emotions, gaze tracking, multimodal fusion, use cases); fixed server.js duplicate variable declaration; updated Vite config COOP headers to 'same-origin-allow-popups'; all processing local in browser, privacy-first design.
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2025-10-03: Fixed Vercel build: added missing UI components (Button, FormField, Panel, ActionBar) and BoothHeader to git tracking that were previously untracked causing build failures.
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2025-10-03: Integrated HumeTest into Settings Modal: added "Hume EVI Testing" section with toggle button to show/hide test interface, provides easy access to test Hume voice integration without leaving Settings.
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2025-10-03: Server: added Hume proxy routes (/api/hume/configs|prompts|tools) using server-side API key; kept existing /api/services/hume/token.
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2025-10-03: Client: added src/lib/services/hume.js (token + configs/prompts/tools helpers).
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2025-10-03: EmpathyLab sidebar: added EVI Configuration accordion with form + Saved EVI Configs list; uses /api/hume/configs via client helper; persisted to localStorage.
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2025-10-03: Storybook: added Planner sidebar coverage (PlannerSidebar, DraggableItem stories); exported DraggableItem for reuse in stories.
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2025-10-03: IdeaLab sidebar: enforce inline icon+text for module cards; added reusable SidebarItemCard component with Storybook stories; Storybook now loads Material Symbols via preview-head.
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2025-10-03: EmpathyLab sidebar: normalized consent rows to SidebarItemCard with toggles (new SidebarToggleItemCard) and added stories for toggle variant.

server.js

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@@ -1358,11 +1358,18 @@ app.get('/api/services/hume/token', requireAuth, async (req, res) => {
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user: req.user.email
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});
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res.json({
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const tokenResponse = {
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accessToken: data.access_token,
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expiresIn: data.expires_in,
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tokenType: data.token_type
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});
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};
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// Include configId if set in environment (optional)
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if (process.env.HUME_CONFIG_ID) {
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tokenResponse.configId = process.env.HUME_CONFIG_ID;
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}
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res.json(tokenResponse);
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} catch (err) {
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logger.error('Hume token error:', err);
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res.status(500).json({ error: 'Failed to generate Hume access token', details: err.message });
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}
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});
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// EmpathyLab Session Storage
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// In-memory storage (will persist to MongoDB when MONGODB_URI is configured)
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const empathyLabSessions = new Map();
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// Save EmpathyLab session
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app.post('/api/empathylab/sessions', requireAuth, async (req, res) => {
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try {
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const { sessionData, consent, humeConfigId } = req.body;
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if (!sessionData || !Array.isArray(sessionData)) {
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return res.status(400).json({ error: 'Invalid session data' });
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}
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const session = {
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id: Date.now().toString(),
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userId: req.user.email,
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timestamp: new Date().toISOString(),
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sessionData,
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consent,
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humeConfigId,
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stats: {
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duration: sessionData[sessionData.length - 1]?.timestamp || 0,
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dataPoints: sessionData.length,
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avgFps: Math.round(sessionData.reduce((sum, d) => sum + (d.fps || 0), 0) / sessionData.length),
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emotions: sessionData.filter(d => d.emotion).map(d => ({ emotion: d.emotion, score: d.emotionScore }))
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}
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};
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// Store in memory
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empathyLabSessions.set(session.id, session);
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logger.info('EmpathyLab session saved', {
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sessionId: session.id,
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user: req.user.email,
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dataPoints: sessionData.length
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});
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res.json({ sessionId: session.id, session });
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} catch (err) {
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logger.error('EmpathyLab session save error:', err);
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res.status(500).json({ error: 'Failed to save session', details: err.message });
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}
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});
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// Get user's EmpathyLab sessions
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app.get('/api/empathylab/sessions', requireAuth, async (req, res) => {
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try {
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const userSessions = Array.from(empathyLabSessions.values())
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.filter(session => session.userId === req.user.email)
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.sort((a, b) => new Date(b.timestamp) - new Date(a.timestamp));
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res.json({ sessions: userSessions });
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} catch (err) {
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logger.error('EmpathyLab sessions fetch error:', err);
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res.status(500).json({ error: 'Failed to fetch sessions', details: err.message });
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}
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});
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// Get specific session
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app.get('/api/empathylab/sessions/:id', requireAuth, async (req, res) => {
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try {
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const session = empathyLabSessions.get(req.params.id);
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if (!session) {
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return res.status(404).json({ error: 'Session not found' });
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}
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if (session.userId !== req.user.email) {
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return res.status(403).json({ error: 'Unauthorized' });
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}
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res.json({ session });
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} catch (err) {
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logger.error('EmpathyLab session fetch error:', err);
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res.status(500).json({ error: 'Failed to fetch session', details: err.message });
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}
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});
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// Delete session
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app.delete('/api/empathylab/sessions/:id', requireAuth, async (req, res) => {
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try {
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const session = empathyLabSessions.get(req.params.id);
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if (!session) {
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return res.status(404).json({ error: 'Session not found' });
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}
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if (session.userId !== req.user.email) {
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return res.status(403).json({ error: 'Unauthorized' });
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}
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empathyLabSessions.delete(req.params.id);
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logger.info('EmpathyLab session deleted', {
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sessionId: req.params.id,
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user: req.user.email
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});
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res.json({ success: true });
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} catch (err) {
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logger.error('EmpathyLab session delete error:', err);
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res.status(500).json({ error: 'Failed to delete session', details: err.message });
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}
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});
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// Expose the /metrics endpoint for Prometheus scraping
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app.get('/metrics', async (req, res) => {
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try {

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