diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..40fa51d --- /dev/null +++ b/.env.example @@ -0,0 +1,2 @@ +# Copy this file to .env and fill in your API key +GEMINI_API_KEY=your_api_key_here diff --git a/.gitignore b/.gitignore index a547bf3..1cac559 100644 --- a/.gitignore +++ b/.gitignore @@ -22,3 +22,4 @@ dist-ssr *.njsproj *.sln *.sw? +.env \ No newline at end of file diff --git a/README.md b/README.md index 5cc8ef4..b49d47c 100644 --- a/README.md +++ b/README.md @@ -1,20 +1,60 @@ -
-GHBanner -
- -# Run and deploy your AI Studio app - -This contains everything you need to run your app locally. - -View your app in AI Studio: https://ai.studio/apps/drive/1Di9b15uKTFXVof4InO8oefefCDaW9Q26 - -## Run Locally - -**Prerequisites:** Node.js +## Run locally +Prerequisites: Node.js (16+ recommended) 1. Install dependencies: - `npm install` -2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key -3. Run the app: - `npm run dev` + + npm install + +2. Copy the example env and (optionally) add your Gemini API key: + + cp .env.example .env + + If you set `GEMINI_API_KEY`, the project can be wired to a real image + generation backend. For local development, if the key is empty the app + will show a placeholder generated image so the UI remains usable. + +3. Start the dev server: + + npm run dev + +## Run as an Electron app (local desktop) + +1. Install dev dependencies (if not already done): + + npm install + +2. Start the app in Electron (dev): + + npm run electron:dev + +This runs Vite and then launches Electron pointed at the dev server. The renderer will use a preload bridge to ask the main process to perform avatar generation — you can extend the main process to call the `@google/genai` SDK safely. + +## Tailwind CSS and production + +- The app previously used the Tailwind CDN for convenience. For production we now build Tailwind locally using PostCSS (the project contains `tailwind.config.cjs` and `postcss.config.cjs`). +- To build for production (or package with Electron), run: + + npm run build + +- If you need to customize Tailwind, edit `tailwind.config.cjs` and your global styles in `src/styles.css`. + +## Electron security note (CSP) + +During development Electron warns about a permissive Content-Security-Policy (CSP). This is expected for dev, but before shipping an Electron app you must set a strict CSP and avoid `unsafe-eval` and `unsafe-inline` where possible. See: https://electronjs.org/docs/tutorial/security + +--- + +Refactor notes + +The repository was reorganized so renderer and electron-specific code live under `src/`: + +- `src/renderer` — React application and browser-only services/components +- `src/electron` — main process, preload, and GenAI wrapper +- `src/shared` — types and small shared artifacts + +Vite alias `@` now points to `src/` so you can import shared files as `@/shared/types`. + +Compatibility: root-level electron entry files were kept as small wrappers that forward to the `src/electron` files so existing scripts should still work. + +If you want further adjustments (different folders or moving more files), tell me and I will apply them. diff --git a/index.html b/index.html index cda6e43..99e7b27 100644 --- a/index.html +++ b/index.html @@ -3,9 +3,13 @@ - Gemini V-Studio - + Vtube Studio + + + + + -
+ \ No newline at end of file diff --git a/index.tsx b/index.tsx index 6ca5361..dde7a7c 100644 --- a/index.tsx +++ b/index.tsx @@ -1,15 +1,2 @@ -import React from 'react'; -import ReactDOM from 'react-dom/client'; -import App from './App'; - -const rootElement = document.getElementById('root'); -if (!rootElement) { - throw new Error("Could not find root element to mount to"); -} - -const root = ReactDOM.createRoot(rootElement); -root.render( - - - -); \ No newline at end of file +// Delegate to the new renderer entry. This file remains for compatibility with tools +import './src/renderer/index.tsx'; \ No newline at end of file diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..e4251b5 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,4801 @@ +{ + "name": "gemini-v-studio", + "version": "0.0.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "gemini-v-studio", + "version": "0.0.0", + "dependencies": { + "@google/genai": "^1.30.0", + "@mediapipe/tasks-vision": "0.10.21", + "react": "^19.2.0", + "react-dom": "^19.2.0" + }, + "devDependencies": { + "@tailwindcss/postcss": "^4.1.17", + "@tailwindcss/vite": "^4.1.17", + "@types/node": "^24.10.1", + "@vitejs/plugin-react": "^5.0.0", + "autoprefixer": "^10.4.22", + "concurrently": "^9.2.1", + "dotenv": "^17.2.3", + "electron": "^39.2.3", + "postcss": "^8.5.6", + "tailwindcss": "^4.1.17", + "typescript": "~5.9.3", + "vite": "^7.2.4", + "wait-on": "^9.0.3" + } + }, + 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"@mediapipe/tasks-vision": "0.10.18" + "@mediapipe/tasks-vision": "0.10.21", + "react": "^19.2.0", + "react-dom": "^19.2.0" }, "devDependencies": { - "@types/node": "^22.14.0", + "@types/node": "^24.10.1", "@vitejs/plugin-react": "^5.0.0", - "typescript": "~5.8.2", - "vite": "^6.2.0" + "autoprefixer": "^10.4.22", + "@tailwindcss/postcss": "^4.1.17", + "@tailwindcss/vite": "^4.1.17", + "tailwindcss": "^4.1.17", + "concurrently": "^9.2.1", + "dotenv": "^17.2.3", + "electron": "^39.2.3", + "postcss": "^8.5.6", + "typescript": "~5.9.3", + "vite": "^7.2.4", + "wait-on": "^9.0.3" } -} +} \ No newline at end of file diff --git a/postcss.config.cjs b/postcss.config.cjs new file mode 100644 index 0000000..601d533 --- /dev/null +++ b/postcss.config.cjs @@ -0,0 +1,6 @@ +module.exports = { + // Export PostCSS plugins as an array (supported by PostCSS and Vite) + plugins: [ + require('autoprefixer'), + ], +}; diff --git a/services/geminiService.ts b/services/geminiService.ts deleted file mode 100644 index 7a187b5..0000000 --- a/services/geminiService.ts +++ /dev/null @@ -1,58 +0,0 @@ - -import { GoogleGenAI } from "@google/genai"; - -/** - * Generates a VTuber avatar character sheet. - * Uses gemini-3-pro-image-preview for high quality. - */ -export const generateAvatarImage = async (description: string): Promise => { - try { - // Initialize client inside the function to ensure we use the most up-to-date API key - const ai = new GoogleGenAI({ apiKey: process.env.API_KEY }); - - const prompt = ` - Create a VTuber character sheet with a flat 2D anime style. - - LAYOUT: - 1. MAIN CHARACTER (Left side, takes up 70% of width): - - Front-facing view, head and shoulders. - - Neutral expression, eyes open, mouth closed. - - 2. EXPRESSION ASSETS (Right side, vertical column): - - Top: The same character's face with EYES CLOSED (for blinking). - - Bottom: The same character's face with MOUTH OPEN (for talking). - - Character Description: ${description} - - Style: Vibrant, clean lines, solid white or green background for easy keying. - `; - - const response = await ai.models.generateContent({ - model: 'gemini-3-pro-image-preview', - contents: { - parts: [ - { text: prompt } - ] - }, - config: { - imageConfig: { - aspectRatio: "16:9", // Wide to fit character sheet - imageSize: "1K" - } - } - }); - - // Parse response for image data - for (const part of response.candidates[0].content.parts) { - if (part.inlineData) { - const base64EncodeString = part.inlineData.data; - return `data:image/png;base64,${base64EncodeString}`; - } - } - - throw new Error("No image data found in response"); - } catch (error) { - console.error("Error generating avatar:", error); - throw error; - } -}; diff --git a/src/electron/main/electron-main.cjs b/src/electron/main/electron-main.cjs new file mode 100644 index 0000000..0384070 --- /dev/null +++ b/src/electron/main/electron-main.cjs @@ -0,0 +1,26 @@ +(async () => { + try { + // In dev, load a local .env so ENV values like GEMINI_API_KEY are available to the main process. + try { + // eslint-disable-next-line no-var + var dotenv = await import('dotenv'); + dotenv.config(); + console.log('[electron-main.cjs] Loaded .env into process.env'); + } catch (e) { + // Not fatal; dotenv may not be installed in some environments + console.log('[electron-main.cjs] dotenv not available, skipping .env load'); + } + const mod = await import('./electron-main.js'); + const { ipcMain } = await import('electron'); + + ipcMain.on('renderer-log', (event, { level, msg }) => { + const prefix = `[renderer ${level}]`; + if (level === 'error') console.error(prefix, msg); + else if (level === 'warn') console.warn(prefix, msg); + else console.log(prefix, msg); + }); + } catch (e) { + console.error('Failed to load ESM electron main:', e); + process.exit(1); + } +})(); diff --git a/src/electron/main/electron-main.js b/src/electron/main/electron-main.js new file mode 100644 index 0000000..c1fe943 --- /dev/null +++ b/src/electron/main/electron-main.js @@ -0,0 +1,103 @@ +import { app, BrowserWindow, ipcMain } from 'electron'; +import path from 'path'; +import url from 'url'; +import { fileURLToPath } from 'url'; + +// Keep an in-memory API key for the running session only. Renderer should still store key in localStorage. +let inMemoryKey = null; + +function createWindow() { + // Resolve dirname equivalent in ESM + const __filename = fileURLToPath(import.meta.url); + const __dirname = path.dirname(__filename); + + const win = new BrowserWindow({ + width: 1200, + height: 800, + webPreferences: { + // Preload is colocated with the electron main files after the refactor + preload: path.join(__dirname, 'electron-preload.js'), + contextIsolation: true, + nodeIntegration: false, + } + }); + + const startUrl = process.env.ELECTRON_START_URL || url.pathToFileURL(path.join(process.cwd(), 'dist', 'index.html')).toString(); + win.loadURL(startUrl).catch(err => { + console.error('[electron-main] Failed to load URL:', err); + }); + + if (process.env.ELECTRON_START_URL) { + try { + const ses = win.webContents.session; + ses.webRequest.onHeadersReceived((details, callback) => { + const headers = details.responseHeaders || {}; + // Allow jsDelivr CDN for scripts used by third-party libs (dev only) + // Dev CSP: allow inline scripts, unsafe-eval and jsDelivr CDN for third-party libs (HMR and wasm loaders need inline scripts/eval) + headers['Content-Security-Policy'] = [ + "default-src 'self' 'unsafe-eval' 'unsafe-inline' data:; script-src 'self' 'unsafe-inline' 'unsafe-eval' https://cdn.jsdelivr.net; img-src 'self' data:; connect-src *; style-src 'self' 'unsafe-inline' https://fonts.googleapis.com; font-src 'self' data: https://fonts.gstatic.com" + ]; + callback({ responseHeaders: headers }); + }); + } catch (e) { + console.warn('[electron-main] Failed to inject dev CSP:', e); + } + win.webContents.once('did-frame-finish-load', () => { + try { + win.webContents.openDevTools({ mode: 'right' }); + } catch (e) { + console.warn('[electron-main] Could not open DevTools:', e); + } + }); + } + + win.webContents.on('did-finish-load', () => { + console.log('[electron-main] Renderer finished load; title=', win.getTitle()); + }); +} + +app.whenReady().then(() => { + createWindow(); + + app.on('activate', function () { + if (BrowserWindow.getAllWindows().length === 0) createWindow(); + }); +}); + +app.on('window-all-closed', function () { + if (process.platform !== 'darwin') app.quit(); +}); + +ipcMain.handle('generate-avatar', async (event, prompt) => { + try { + console.log('[electron-main] generate-avatar handler invoked'); + console.log('[electron-main] prompt length:', (prompt || '').length); + + // Prefer an in-memory key, then environment variables + const apiKey = inMemoryKey || process.env.GEMINI_API_KEY || process.env.API_KEY; + console.log('[electron-main] apiKey present?', !!apiKey, '(will prefer GEMINI_API_KEY if set)'); + + if (apiKey) { + try { + console.log('[electron-main] Calling GenAI helper...'); + const imageData = await generateAvatarWithGenAI(prompt || '', apiKey); + console.log('[electron-main] GenAI helper returned image, length:', imageData?.length || 0); + return { image: imageData }; + } catch (e) { + console.error('[electron-main] GenAI generation failed:', e?.message || e); + } + } else { + console.log('[electron-main] No API key present — skipping GenAI call and returning placeholder'); + } + } catch (outerErr) { + console.error('[electron-main] Unexpected error in generate-avatar handler:', outerErr); + } + + // Fallback placeholder image + const placeholder = `data:image/svg+xml;utf8,Placeholder: ${encodeURIComponent((prompt||'').substring(0,80))}`; + console.log('[electron-main] Returning placeholder image (length):', placeholder.length); + return { image: placeholder }; +}); + +// Expose simple key management for the renderer via ipc (session-only) +// No renderer-side key persistence — frontend uses localStorage exclusively now. diff --git a/src/electron/preload/electron-preload.js b/src/electron/preload/electron-preload.js new file mode 100644 index 0000000..2e30794 --- /dev/null +++ b/src/electron/preload/electron-preload.js @@ -0,0 +1,45 @@ +const { contextBridge, ipcRenderer } = require('electron'); + +contextBridge.exposeInMainWorld('electronAPI', { + // Accept an optional apiKey argument so the renderer can pass a stored key from localStorage + generateAvatar: (prompt, apiKey) => ipcRenderer.invoke('generate-avatar', prompt, apiKey) +}); + + +contextBridge.exposeInMainWorld('electronLog', { + info: (msg) => ipcRenderer.send('renderer-log', { level: 'info', msg }), + warn: (msg) => ipcRenderer.send('renderer-log', { level: 'warn', msg }), + error: (msg) => ipcRenderer.send('renderer-log', { level: 'error', msg }), +}); + +try { + ipcRenderer.send('renderer-log', { level: 'info', msg: 'preload loaded' }); +} catch (e) { +} + +try { + const forward = (level, args) => { + try { + const msg = args.map(a => { + try { return typeof a === 'string' ? a : JSON.stringify(a); } catch (e) { return String(a); } + }).join(' '); + ipcRenderer.send('renderer-log', { level, msg }); + } catch (e) { } + }; + + const origError = console.error.bind(console); + console.error = (...args) => { forward('error', args); origError(...args); }; + + const origWarn = console.warn.bind(console); + console.warn = (...args) => { forward('warn', args); origWarn(...args); }; + + const origLog = console.log.bind(console); + console.log = (...args) => { forward('info', args); origLog(...args); }; + + // DOM snapshot logging removed — keep console forwarding only. + + window.addEventListener('error', (ev) => { + try { ipcRenderer.send('renderer-log', { level: 'error', msg: `window.onerror: ${ev.message} ${ev.filename}:${ev.lineno}:${ev.colno}` }); } catch (e) {} + }); +} catch (e) { +} diff --git a/App.tsx b/src/renderer/App.tsx similarity index 59% rename from App.tsx rename to src/renderer/App.tsx index d051beb..251a893 100644 --- a/App.tsx +++ b/src/renderer/App.tsx @@ -1,32 +1,77 @@ - import React, { useState } from 'react'; -import { AppState, AvatarConfig, Rect } from './types'; +import { AppState, AvatarConfig, Rect } from '../shared/types'; import AvatarCreator from './components/AvatarCreator'; import RiggingEditor from './components/RiggingEditor'; import Studio from './components/Studio'; const App: React.FC = () => { const [appState, setAppState] = useState(AppState.SETUP); - // Temp storage for the generated image before rigging const [generatedData, setGeneratedData] = useState<{url: string, name: string, initialData?: any} | null>(null); const [avatar, setAvatar] = useState(null); const handleStartCreation = async () => { try { - if (window.aistudio) { - const hasKey = await window.aistudio.hasSelectedApiKey(); - if (!hasKey) { - await window.aistudio.openSelectKey(); - } - } + if ((window as any).electronLog) (window as any).electronLog.info('handleStartCreation called'); + // No blocking API key flow — we just try to ensure a key is set for better UX setAppState(AppState.CREATION); } catch (error) { console.error("Error during API key selection:", error); + if ((window as any).electronLog) (window as any).electronLog.error(`API key selection failed: ${String(error)}`); setAppState(AppState.CREATION); } }; + const [hasKey, setHasKey] = useState(false); + + const [showKeyModal, setShowKeyModal] = React.useState(false); + const [keyInput, setKeyInput] = React.useState(''); + + const refreshKeyStatus = async () => { + try { + const present = !!(typeof window !== 'undefined' && localStorage.getItem('GEMINI_API_KEY')); + setHasKey(present); + } catch (e) { + console.warn('Failed to check API key status from localStorage', e); + setHasKey(false); + } + }; + + React.useEffect(() => { + refreshKeyStatus(); + }, []); + + const openKeyModal = () => { + setKeyInput(''); + setShowKeyModal(true); + }; + + const submitKey = async () => { + try { + if (!keyInput) return; + // Only store in localStorage (renderer-side). Do not attempt IPC or disk persistence. + try { localStorage.setItem('GEMINI_API_KEY', keyInput); } catch (e) { console.warn('Failed to write key to localStorage', e); alert('Failed to save key to localStorage'); return; } + setShowKeyModal(false); + refreshKeyStatus(); + try { window.electronLog?.info('API key saved to localStorage'); } catch {} + alert('API key saved to localStorage'); + } catch (e) { + console.error(e); + alert('Error saving key'); + } + }; + + const handleClearKey = async () => { + try { + try { localStorage.removeItem('GEMINI_API_KEY'); } catch (e) { console.warn('Failed to remove key from localStorage', e); alert('Failed to clear key from localStorage'); return; } + refreshKeyStatus(); + alert('API key cleared from localStorage'); + } catch (e) { + console.error(e); + } + }; + const handleAvatarGenerated = (url: string, name: string, initialData?: any) => { + if ((window as any).electronLog) (window as any).electronLog.info(`avatar generated: ${name}`); setGeneratedData({ url, name, initialData }); setAppState(AppState.RIGGING); }; @@ -55,6 +100,7 @@ const App: React.FC = () => { }; return ( + <>
{appState === AppState.SETUP && (
@@ -71,6 +117,11 @@ const App: React.FC = () => { > Start Creation +
+ + +
Key: {hasKey ? Saved : Not set}
+
@@ -129,7 +180,29 @@ const App: React.FC = () => { onBack={() => setAppState(AppState.SETUP)} /> )} + + {/* TailwindDebug removed */}
+ {showKeyModal && ( +
+
+

Enter Gemini API Key

+

This key will be stored locally in the app data directory.

+ setKeyInput(e.target.value)} + className="w-full bg-slate-800 border border-slate-700 rounded px-3 py-2 text-white mb-4" + placeholder="sk_..." + /> +
+ + +
+
+
+ )} + ); }; diff --git a/components/AvatarCreator.tsx b/src/renderer/components/AvatarCreator.tsx similarity index 90% rename from components/AvatarCreator.tsx rename to src/renderer/components/AvatarCreator.tsx index 9f99c62..e8cab57 100644 --- a/components/AvatarCreator.tsx +++ b/src/renderer/components/AvatarCreator.tsx @@ -1,9 +1,14 @@ import React, { useState } from 'react'; -import { generateAvatarImage } from '../services/geminiService'; import { analyzeAvatarImage } from '../services/visionService'; import { stitchAssets, fileToDataUrl } from '../services/imageService'; +import { generateAvatarImage } from '../services/geminiService'; import LoadingSpinner from './LoadingSpinner'; -import { Rect } from '../types'; +import { Rect } from '../../shared/types'; + +const placeholderGenerate = async (prompt: string) => { + const text = encodeURIComponent((prompt || '').substring(0, 80)); + return `data:image/svg+xml;utf8,Placeholder: ${text}`; +}; interface AvatarCreatorProps { onAvatarGenerated: (url: string, name: string, initialData?: { @@ -15,13 +20,11 @@ interface AvatarCreatorProps { const AvatarCreator: React.FC = ({ onAvatarGenerated }) => { const [mode, setMode] = useState<'generate' | 'upload'>('generate'); - // Generation State const [prompt, setPrompt] = useState(''); const [name, setName] = useState(''); const [status, setStatus] = useState<'idle' | 'generating' | 'analyzing' | 'stitching'>('idle'); const [error, setError] = useState(null); - // Upload State const [baseFile, setBaseFile] = useState(null); const [blinkFile, setBlinkFile] = useState(null); const [talkFile, setTalkFile] = useState(null); @@ -33,14 +36,11 @@ const AvatarCreator: React.FC = ({ onAvatarGenerated }) => { setError(null); try { - // 1. Generate Image (Now creates a character sheet) const imageUrl = await generateAvatarImage(prompt); - // 2. Analyze Image for Landmarks setStatus('analyzing'); const analysisData = await analyzeAvatarImage(imageUrl); - // 3. Pass to parent if (analysisData) { onAvatarGenerated(imageUrl, name, analysisData); } else { @@ -61,33 +61,23 @@ const AvatarCreator: React.FC = ({ onAvatarGenerated }) => { setError(null); try { - // 1. Prepare Base Image and Analyze it separately - // Analyzing separately ensures we get landmarks for the main face correctly - // without interference from other faces in a stitched sheet. const baseDataUrl = await fileToDataUrl(baseFile); const baseAnalysis = await analyzeAvatarImage(baseDataUrl); - // 2. Prepare and Analyze Variant Images let blinkDataUrl, blinkAnalysis; if (blinkFile) { blinkDataUrl = await fileToDataUrl(blinkFile); - // Try to find eyes in the blink image to use as tight texture crop blinkAnalysis = await analyzeAvatarImage(blinkDataUrl); } let talkDataUrl, talkAnalysis; if (talkFile) { talkDataUrl = await fileToDataUrl(talkFile); - // Try to find mouth in the talk image talkAnalysis = await analyzeAvatarImage(talkDataUrl); } - // 3. Stitch Assets into Sheet const { imageUrl, mainBody, textureClosedEye: stitchBlinkRect, textureOpenMouth: stitchTalkRect } = await stitchAssets(baseDataUrl, blinkDataUrl, talkDataUrl); - // 4. Map Analysis Data to Stitched Coordinate Space - - // Helper to map a rect from (0-1 in sub-image) to (0-1 in stitched-image) const mapRect = (r: Rect, container: Rect) => ({ x: container.x + r.x * container.w, y: container.y + r.y * container.h, @@ -101,7 +91,6 @@ const AvatarCreator: React.FC = ({ onAvatarGenerated }) => { textureOpenMouth: stitchTalkRect }; - // Map Base Targets (Eyes, Mouth on main body) if (baseAnalysis) { initialData.leftEye = mapRect(baseAnalysis.leftEye, mainBody); initialData.rightEye = mapRect(baseAnalysis.rightEye, mainBody); @@ -109,10 +98,7 @@ const AvatarCreator: React.FC = ({ onAvatarGenerated }) => { initialData.skinColor = baseAnalysis.skinColor; } - // Map Source Textures (Tight crop around features if detected) - // If detections fail (e.g. eyes closed might not be detected), we fall back to the whole image (stitchBlinkRect) if (blinkAnalysis && stitchBlinkRect) { - // Calculate a bounding box around both eyes in the blink image const be = blinkAnalysis; const minX = Math.min(be.leftEye.x, be.rightEye.x); const minY = Math.min(be.leftEye.y, be.rightEye.y); @@ -144,7 +130,6 @@ const AvatarCreator: React.FC = ({ onAvatarGenerated }) => { return (
- {/* Tabs */}
- {/* Main Stage */}
- {/* Background Grid/Effect */}
= ({ avatar, onBack }) => {
- {/* Avatar Container */}
{!processedImageUrl ? (
@@ -193,7 +173,6 @@ const Studio: React.FC = ({ avatar, onBack }) => { className="relative w-full h-full flex items-center justify-center" style={getAvatarStyle()} > - {/* Main Character Body (Cropped using Sprite) */} {avatar.mainBody ? ( = ({ avatar, onBack }) => { className="w-full h-full object-contain drop-shadow-[0_0_15px_rgba(168,85,247,0.5)]" /> ) : ( - /* Fallback to full image if mainBody is missing */ Avatar = ({ avatar, onBack }) => { /> )} - {/* Dynamic Eyelids (High Fidelity Sprites) */} {avatar.leftEye && avatar.textureClosedEye && ( = ({ avatar, onBack }) => { /> )} - {/* Dynamic Mouth Animation */} {avatar.mouth && avatar.textureOpenMouth && (
= ({ avatar, onBack }) => { height: `${avatar.mouth.h * 100}%`, }} > - {/* Skin Patch - Hides the static closed mouth when speaking */}
0.1 ? 1 : 0, - filter: 'blur(4px)', // Blends edges + filter: 'blur(4px)', borderRadius: '50%' }} /> - {/* Mouth Sprite - Scales based on mouth openness */} 0.05 ? 1 : 0, - // Scale open mouth based on volume transform: `scaleY(${0.8 + trackingData.mouthOpen * 0.5})`, }} /> @@ -280,7 +253,6 @@ const Studio: React.FC = ({ avatar, onBack }) => {
)} - {/* Status Indicator overlay if tracking is lost */} {(!cameraReady) && (
INITIALIZING CAMERA LINK...
@@ -289,7 +261,6 @@ const Studio: React.FC = ({ avatar, onBack }) => {
- {/* Control Deck */}
MOUTH @@ -301,7 +272,6 @@ const Studio: React.FC = ({ avatar, onBack }) => {
HEAD ROLL
- {/* Center marker */}
{ const [isTracking, setIsTracking] = useState(false); @@ -19,16 +19,14 @@ export const useFaceTracking = (videoElement: HTMLVideoElement | null) => { isBlinkingRight: false, }); - // Initialize FaceLandmarker useEffect(() => { const initMediaPipe = async () => { try { - // Use specific version to match index.html import and prevent version mismatch const filesetResolver = await FilesetResolver.forVisionTasks( "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.18/wasm" ); - faceLandmarkerRef.current = await FaceLandmarker.createFromOptions(filesetResolver, { + faceLandmarkerRef.current = await FaceLandmarker.createFromOptions(filesetResolver, { baseOptions: { modelAssetPath: `https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task`, delegate: "GPU" @@ -40,8 +38,10 @@ export const useFaceTracking = (videoElement: HTMLVideoElement | null) => { }); setIsLoading(false); + if ((window as any).electronLog) (window as any).electronLog.info('MediaPipe faceLandmarker loaded'); } catch (error) { console.error("Failed to load MediaPipe:", error); + if ((window as any).electronLog) (window as any).electronLog.error(`Failed to load MediaPipe: ${String(error)}`); setIsLoading(false); } }; @@ -56,7 +56,6 @@ export const useFaceTracking = (videoElement: HTMLVideoElement | null) => { const predict = useCallback(() => { if (!faceLandmarkerRef.current || !videoElement) return; - // Only predict if video is ready and playing if (videoElement.readyState < 2) return; const nowInMs = Date.now(); @@ -66,7 +65,6 @@ export const useFaceTracking = (videoElement: HTMLVideoElement | null) => { const results = faceLandmarkerRef.current.detectForVideo(videoElement, nowInMs); if (results.faceLandmarks && results.faceLandmarks.length > 0) { - // 1. Extract Blendshapes for Expression const blendshapes = results.faceBlendshapes?.[0]?.categories; let mouthOpen = 0; @@ -79,28 +77,20 @@ export const useFaceTracking = (videoElement: HTMLVideoElement | null) => { eyeBlinkRight = blendshapes.find(c => c.categoryName === 'eyeBlinkRight')?.score || 0; } - // 2. Estimate Pose (simplified) - // MediaPipe gives a matrix, but often for 2D avatars, simple landmark delta is cleaner. - // We use specific landmarks to calculate roll, yaw, pitch approximation. const landmarks = results.faceLandmarks[0]; - - // Roll: Angle between eyes - const leftEye = landmarks[33]; // Outer left eye - const rightEye = landmarks[263]; // Outer right eye + const leftEye = landmarks[33]; + const rightEye = landmarks[263]; const dy = rightEye.y - leftEye.y; const dx = rightEye.x - leftEye.x; const roll = Math.atan2(dy, dx); - // Yaw: Nose offset from center of eyes const nose = landmarks[1]; const midPointX = (leftEye.x + rightEye.x) / 2; - const yaw = (nose.x - midPointX) * 2; // sensitivity + const yaw = (nose.x - midPointX) * 2; - // Pitch: Nose offset vertical const midPointY = (leftEye.y + rightEye.y) / 2; const pitch = (nose.y - midPointY) * 2; - // Translation const transX = (nose.x - 0.5) * 2; const transY = (nose.y - 0.5) * 2; @@ -137,4 +127,4 @@ export const useFaceTracking = (videoElement: HTMLVideoElement | null) => { startTracking, stopTracking }; -}; \ No newline at end of file +}; diff --git a/src/renderer/index.tsx b/src/renderer/index.tsx new file mode 100644 index 0000000..6d93a61 --- /dev/null +++ b/src/renderer/index.tsx @@ -0,0 +1,23 @@ +import React from 'react'; +import ReactDOM from 'react-dom/client'; +import App from './App'; +import './styles.css'; +import ErrorBoundary from './components/ErrorBoundary'; + +const rootElement = document.getElementById('root'); +if (!rootElement) { + throw new Error("Could not find root element to mount to"); +} + +const root = ReactDOM.createRoot(rootElement); +if ((window as any).electronLog) { + (window as any).electronLog.info('renderer started, mounting React root'); +} + +root.render( + + + + + +); diff --git a/src/renderer/services/geminiService.ts b/src/renderer/services/geminiService.ts new file mode 100644 index 0000000..96a2c66 --- /dev/null +++ b/src/renderer/services/geminiService.ts @@ -0,0 +1,89 @@ +import type { } from '@google/genai'; + +const placeholderGenerate = async (prompt: string) => { + const text = encodeURIComponent((prompt || '').substring(0, 80)); + return `data:image/svg+xml;utf8,Placeholder: ${text}`; +}; + +/** + * Generate an avatar image. Flow: + * 1) If running in Electron with the preload available, call main via window.electronAPI (passes localStorage key) + * 2) Else, attempt to dynamically import @google/genai and call it from the renderer using key in localStorage + * 3) Fallback to placeholder + */ +export const generateAvatarImage = async (description: string): Promise => { + try { + // Prefer the Electron main process if available (safer, no browser CORS issues) + if (typeof window !== 'undefined' && (window as any).electronAPI && (window as any).electronAPI.generateAvatar) { + try { + const apiKey = localStorage.getItem('GEMINI_API_KEY') || undefined; + const res = await (window as any).electronAPI.generateAvatar(description, apiKey); + if (res && res.image) return res.image; + } catch (e) { + console.warn('[geminiService] electronAPI.generateAvatar failed, falling through to client attempt', e); + } + } + + // Try running the GenAI client in the renderer (may fail due to environment/CORS) + try { + const apiKey = localStorage.getItem('GEMINI_API_KEY') || (window as any)?.process?.env?.GEMINI_API_KEY || (window as any)?.process?.env?.API_KEY; + if (!apiKey) { + console.warn('[geminiService] No API key available for client-side generation'); + return await placeholderGenerate(description); + } + + // Dynamic import so bundlers only include this if actually used + const mod = await import('@google/genai'); + const { GoogleGenAI } = mod as any; + const ai = new GoogleGenAI({ apiKey }); + + const prompt = ` + Create a VTuber character sheet with a flat 2D anime style. + + LAYOUT: + 1. MAIN CHARACTER (Left side, takes up 70% of width): + - Front-facing view, head and shoulders. + - Neutral expression, eyes open, mouth closed. + + 2. EXPRESSION ASSETS (Right side, vertical column): + - Top: The same character's face with EYES CLOSED (for blinking). + - Bottom: The same character's face with MOUTH OPEN (for talking). + + Character Description: ${description} + + Style: Vibrant, clean lines, solid white or green background for easy keying. + `; + + const response = await ai.models.generateContent({ + model: 'gemini-3-pro-image-preview', + contents: { + parts: [{ text: prompt }] + }, + config: { + imageConfig: { + aspectRatio: '16:9', + imageSize: '1K' + } + } + }); + + const parts = response?.candidates?.[0]?.content?.parts || []; + for (const part of parts) { + if (part.inlineData && part.inlineData.data) { + return `data:image/png;base64,${part.inlineData.data}`; + } + } + + console.warn('[geminiService] No image data found in client response'); + return await placeholderGenerate(description); + } catch (clientErr) { + console.warn('[geminiService] Client-side GenAI attempt failed:', clientErr); + return await placeholderGenerate(description); + } + } catch (err) { + console.error('[geminiService] Unexpected error:', err); + return await placeholderGenerate(description); + } +}; + +export default { generateAvatarImage }; diff --git a/services/imageService.ts b/src/renderer/services/imageService.ts similarity index 89% rename from services/imageService.ts rename to src/renderer/services/imageService.ts index 342c680..cbc7fb5 100644 --- a/services/imageService.ts +++ b/src/renderer/services/imageService.ts @@ -1,4 +1,4 @@ -import { Rect } from '../types'; +import { Rect } from '../../shared/types'; export const fileToDataUrl = (file: File): Promise => { return new Promise((resolve, reject) => { @@ -24,16 +24,12 @@ export const stitchAssets = async ( blinkSrc?: string, talkSrc?: string ): Promise<{ imageUrl: string; mainBody: Rect; textureClosedEye?: Rect; textureOpenMouth?: Rect }> => { - // Load images const baseImg = await loadImage(baseSrc); const blinkImg = blinkSrc ? await loadImage(blinkSrc) : null; const talkImg = talkSrc ? await loadImage(talkSrc) : null; - // Layout: Base on Left. Sidebar on Right containing Blink (top) and Talk (bottom). - // Sidebar width = max(blink.width, talk.width) const sidebarWidth = Math.max(blinkImg?.width || 0, talkImg?.width || 0); - // If there are no variants, just return the base image as is if (sidebarWidth === 0) { return { imageUrl: baseSrc, @@ -50,10 +46,8 @@ export const stitchAssets = async ( const ctx = canvas.getContext('2d'); if (!ctx) throw new Error("Could not get canvas context"); - // Draw Base ctx.drawImage(baseImg, 0, 0); - // Calculate normalized rects const mainBody: Rect = { x: 0, y: 0, @@ -90,4 +84,4 @@ export const stitchAssets = async ( textureClosedEye, textureOpenMouth }; -}; \ No newline at end of file +}; diff --git a/services/visionService.ts b/src/renderer/services/visionService.ts similarity index 84% rename from services/visionService.ts rename to src/renderer/services/visionService.ts index 0b43e96..2f6ae53 100644 --- a/services/visionService.ts +++ b/src/renderer/services/visionService.ts @@ -1,11 +1,9 @@ - import { FaceLandmarker, FilesetResolver, ImageSegmenter } from '@mediapipe/tasks-vision'; -import { Rect } from '../types'; +import { Rect } from '../../shared/types'; let faceLandmarker: FaceLandmarker | null = null; let imageSegmenter: ImageSegmenter | null = null; -// Initialize the vision model for static image analysis const initVision = async () => { if (faceLandmarker) return; @@ -14,10 +12,12 @@ const initVision = async () => { "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@0.10.18/wasm" ); + // Use CPU delegate in Electron/dev for deterministic behavior. GPU can be flaky across + // platforms and in headless contexts; switch to GPU later if you need performance. faceLandmarker = await FaceLandmarker.createFromOptions(filesetResolver, { baseOptions: { modelAssetPath: `https://storage.googleapis.com/mediapipe-models/face_landmarker/face_landmarker/float16/1/face_landmarker.task`, - delegate: "GPU" + delegate: "CPU" }, runningMode: "IMAGE", numFaces: 1 @@ -27,7 +27,6 @@ const initVision = async () => { } }; -// Initialize the segmenter for background removal const initSegmenter = async () => { if (imageSegmenter) return; @@ -60,12 +59,28 @@ export const analyzeAvatarImage = async (imageUrl: string): Promise<{ leftEye: R img.crossOrigin = "anonymous"; img.onload = () => { try { - const result = faceLandmarker!.detect(img); + // If the generated image is small, upscale it to improve detection reliability + const minSide = Math.min(img.width, img.height); + let detectorInput: HTMLImageElement | HTMLCanvasElement = img; + if (minSide < 256) { + const scale = Math.ceil(256 / minSide); + const c = document.createElement('canvas'); + c.width = img.width * scale; + c.height = img.height * scale; + const cctx = c.getContext('2d'); + if (cctx) cctx.drawImage(img, 0, 0, c.width, c.height); + detectorInput = c; + console.log('[vision] upscaled image for detection to', c.width, 'x', c.height); + } else { + console.log('[vision] using image size', img.width, 'x', img.height); + } + + const result = faceLandmarker!.detect(detectorInput as any); + console.log('[vision] detection result', result); if (result.faceLandmarks && result.faceLandmarks.length > 0) { const landmarks = result.faceLandmarks[0]; - // Helper to calculate bounding box from landmark indices const getRect = (indices: number[]): Rect => { let minX = 1, minY = 1, maxX = 0, maxY = 0; @@ -80,7 +95,6 @@ export const analyzeAvatarImage = async (imageUrl: string): Promise<{ leftEye: R const w = maxX - minX; const h = maxY - minY; - // Expand slightly to cover the area comfortably const paddingX = w * 0.1; const paddingY = h * 0.1; @@ -92,7 +106,6 @@ export const analyzeAvatarImage = async (imageUrl: string): Promise<{ leftEye: R }; }; - // MediaPipe Mesh Indices const leftEyeIndices = [33, 7, 163, 144, 145, 153, 154, 155, 133, 173, 157, 158, 159, 160, 161, 246]; const rightEyeIndices = [362, 382, 381, 380, 374, 373, 390, 249, 263, 466, 388, 387, 386, 385, 384, 398]; const mouthIndices = [61, 185, 40, 39, 37, 0, 267, 269, 270, 409, 291, 375, 321, 405, 314, 17, 84, 181, 91, 146]; @@ -101,25 +114,22 @@ export const analyzeAvatarImage = async (imageUrl: string): Promise<{ leftEye: R const rightRect = getRect(rightEyeIndices); const mouthRect = getRect(mouthIndices); - // Sample Skin Color const canvas = document.createElement('canvas'); canvas.width = img.width; canvas.height = img.height; const ctx = canvas.getContext('2d'); - let color = '#fcd3bf'; // Default fallback + let color = '#fcd3bf'; if (ctx) { ctx.drawImage(img, 0, 0); - // Landmark 123 is on the left cheek bone area const sampleIdx = 123; const lx = Math.floor(landmarks[sampleIdx].x * img.width); const ly = Math.floor(landmarks[sampleIdx].y * img.height); if (lx >= 0 && lx < img.width && ly >= 0 && ly < img.height) { const pixel = ctx.getImageData(lx, ly, 1, 1).data; - // Convert rgb to hex for input type="color" const toHex = (c: number) => { const hex = c.toString(16); return hex.length === 1 ? "0" + hex : hex; @@ -161,7 +171,6 @@ export const removeBackground = async (imageUrl: string): Promise => { img.crossOrigin = "anonymous"; img.onload = () => { try { - // 1. Segment the image const segmentResult = imageSegmenter!.segment(img); const confidenceMasks = segmentResult.confidenceMasks; @@ -170,7 +179,6 @@ export const removeBackground = async (imageUrl: string): Promise => { return; } - // 2. Create canvas and context const canvas = document.createElement('canvas'); canvas.width = img.width; canvas.height = img.height; @@ -181,24 +189,17 @@ export const removeBackground = async (imageUrl: string): Promise => { return; } - // 3. Draw original image ctx.drawImage(img, 0, 0); const imageData = ctx.getImageData(0, 0, img.width, img.height); const pixels = imageData.data; - // 4. Apply mask - // The selfie_segmenter output mask is a Float32Array where values - // indicate confidence of being a person (0.0 to 1.0). const mask = confidenceMasks[0].getAsFloat32Array(); for (let i = 0; i < mask.length; i++) { - // Threshold for person confidence (0.3 is usually a good balance for hair details) const confidence = mask[i]; if (confidence < 0.3) { pixels[i * 4 + 3] = 0; // Set Alpha to 0 } else { - // Optional: Soft edges - // pixels[i * 4 + 3] = Math.floor(confidence * 255); } } diff --git a/src/renderer/styles.css b/src/renderer/styles.css new file mode 100644 index 0000000..3ce36d5 --- /dev/null +++ b/src/renderer/styles.css @@ -0,0 +1,12 @@ +@import "tailwindcss"; + +/* App-level custom styles */ +body { + margin: 0; + background-color: #0f172a; + color: #f8fafc; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; +} + +#root { min-height: 100vh; } diff --git a/src/shared/types.ts b/src/shared/types.ts new file mode 100644 index 0000000..6029116 --- /dev/null +++ b/src/shared/types.ts @@ -0,0 +1,61 @@ +export enum AppState { + SETUP = 'SETUP', + CREATION = 'CREATION', + RIGGING = 'RIGGING', + STUDIO = 'STUDIO', +} + +export interface Rect { + x: number; + y: number; + w: number; + h: number; +} + +export interface AvatarConfig { + imageUrl: string; + name: string; + description: string; + leftEye?: Rect; + rightEye?: Rect; + mouth?: Rect; + skinColor?: string; + textureClosedEye?: Rect; + textureOpenMouth?: Rect; + mainBody?: Rect; + chromaKeyColor?: string; +} + +export interface TrackingData { + rotationX: number; // Pitch + rotationY: number; // Yaw + rotationZ: number; // Roll + translationX: number; + translationY: number; + mouthOpen: number; + isBlinkingLeft: boolean; + isBlinkingRight: boolean; +} + +export interface AIStudio { + hasSelectedApiKey(): Promise; + setApiKey(key: string): Promise<{ ok: boolean; error?: string; persisted?: boolean; warning?: string }>; + clearApiKey(): Promise<{ ok: boolean; error?: string; persisted?: boolean; warning?: string }>; + // Optional fields returned when persistence fails or succeeds + // setApiKey may return { ok:true, persisted:false, warning:'...'} or {ok:true, persisted:true} + // We'll model this loosely via the above return shape and consumers should check persisted/warning at runtime. +} + +declare global { + interface Window { + aistudio?: AIStudio; + electronAPI?: { + generateAvatar: (prompt: string, apiKey?: string) => Promise<{ image: string }> + }; + electronLog?: { + info: (m: string) => void; + warn: (m: string) => void; + error: (m: string) => void; + }; + } +} diff --git a/tailwind.config.cjs b/tailwind.config.cjs new file mode 100644 index 0000000..c09bfcd --- /dev/null +++ b/tailwind.config.cjs @@ -0,0 +1,36 @@ +module.exports = { + content: [ + './index.html', + './src/**/*.{js,ts,jsx,tsx}', + './components/**/*.{js,ts,jsx,tsx}', + './**/*.{html,js,ts,jsx,tsx}' + ], + theme: { + extend: {}, + }, + /* + Safelist: some classes are generated dynamically at runtime (template literals, + props-driven classNames, or libraries that build class strings). Tailwind's + static scanner can't see those, so include patterns here to ensure the + utilities are generated in dev/production builds. + */ + safelist: [ + // background colors (with optional slash opacity like bg-cyan-500/10) + { pattern: /bg-(?:cyan|purple|pink|green|slate|yellow|white|black)-(?:50|100|200|300|400|500|600|700|800|900)(?:\/\d{1,3})?/, variants: ['hover', 'focus', 'active', 'md', 'lg', 'peer-checked', 'group-hover'] }, + // text colors + { pattern: /text-(?:slate|cyan|green|pink|purple|yellow|white|black)-(?:50|100|200|300|400|500|600|700|800|900)/, variants: ['hover', 'focus', 'md', 'lg'] }, + // z-index utilities used in code + { pattern: /z-\d+/, variants: ['md', 'lg'] }, + // width/height arbitrary values (w-[...], h-[...]) + { pattern: /w-\[.*\]/ }, + { pattern: /h-\[.*\]/ }, + // fractional/utility sizes + { pattern: /w-(?:full|auto|\[1px\]|\[600px\])/, variants: ['md'] }, + { pattern: /h-(?:full|screen|\[70vh\])/, variants: ['md'] }, + // grid/cols + { pattern: /grid-cols-\d+/ }, + // opacity utilities + { pattern: /bg-[\w-]+\/(?:\d{1,3})/, variants: ['hover', 'focus'] }, + ], + plugins: [], +}; diff --git a/tsconfig.json b/tsconfig.json index 2c6eed5..d8a27ae 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -20,7 +20,7 @@ "jsx": "react-jsx", "paths": { "@/*": [ - "./*" + "./src/*" ] }, "allowImportingTsExtensions": true, diff --git a/types.ts b/types.ts index 93f2d7c..687ef79 100644 --- a/types.ts +++ b/types.ts @@ -42,3 +42,14 @@ export interface AIStudio { hasSelectedApiKey(): Promise; openSelectKey(): Promise; } + +// Make `window.aistudio` available globally in the browser environment +declare global { + interface Window { + aistudio?: AIStudio; + // electronAPI is injected by the preload script when running inside Electron + electronAPI?: { + generateAvatar: (prompt: string) => Promise<{ image: string }> + }; + } +} diff --git a/vite.config.ts b/vite.config.ts index ee5fb8d..42a812f 100644 --- a/vite.config.ts +++ b/vite.config.ts @@ -1,23 +1,25 @@ import path from 'path'; import { defineConfig, loadEnv } from 'vite'; import react from '@vitejs/plugin-react'; +import tailwindcss from '@tailwindcss/vite' export default defineConfig(({ mode }) => { - const env = loadEnv(mode, '.', ''); - return { - server: { - port: 3000, - host: '0.0.0.0', - }, - plugins: [react()], - define: { - 'process.env.API_KEY': JSON.stringify(env.GEMINI_API_KEY), - 'process.env.GEMINI_API_KEY': JSON.stringify(env.GEMINI_API_KEY) - }, - resolve: { - alias: { - '@': path.resolve(__dirname, '.'), - } + const env = loadEnv(mode, '.', ''); + return { + server: { + port: 5174, + host: '0.0.0.0', + }, + plugins: [react(), tailwindcss()], + define: { + 'process.env.API_KEY': JSON.stringify(env.GEMINI_API_KEY), + 'process.env.GEMINI_API_KEY': JSON.stringify(env.GEMINI_API_KEY) + }, + resolve: { + alias: { + // Point @ to the src folder so imports can use @/renderer or @/shared + '@': path.resolve(__dirname, 'src'), } - }; + } + }; });