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+# Farsi Transcriber - Quick Start Guide
+
+You now have **TWO** complete applications for Farsi transcription:
+
+## 🖥️ Option 1: Desktop App (PyQt6)
+
+**Location:** `/home/user/whisper/farsi_transcriber/`
+
+### Setup
+```bash
+cd farsi_transcriber
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+python main.py
+```
+
+**Features:**
+- ✅ Standalone desktop application
+- ✅ Works completely offline
+- ✅ Direct access to file system
+- ✅ Lightweight and fast
+- ⚠️ Simpler UI (green theme)
+
+**Good for:**
+- Local-only transcription
+- Users who prefer desktop apps
+- Offline processing
+
+---
+
+## 🌐 Option 2: Web App (React + Flask)
+
+**Location:** `/home/user/whisper/farsi_transcriber_web/`
+
+### Setup
+
+**Backend (Flask):**
+```bash
+cd farsi_transcriber_web/backend
+python3 -m venv venv
+source venv/bin/activate
+pip install -r requirements.txt
+python app.py
+# API runs on http://localhost:5000
+```
+
+**Frontend (React):**
+```bash
+cd farsi_transcriber_web
+npm install
+npm run dev
+# App runs on http://localhost:3000
+```
+
+**Features:**
+- ✅ Modern web-based UI (matches your Figma design exactly)
+- ✅ File queue management
+- ✅ Dark/Light theme toggle
+- ✅ Search with text highlighting
+- ✅ Copy segments to clipboard
+- ✅ Resizable window
+- ✅ RTL support for Farsi
+- ✅ Multiple export formats
+- ✅ Professional styling
+
+**Good for:**
+- Modern web experience
+- Team collaboration (can be deployed online)
+- More features and polish
+- Professional appearance
+
+---
+
+## 📊 Comparison
+
+| Feature | Desktop (PyQt6) | Web (React) |
+|---------|-----------------|------------|
+| **Interface** | Simple, green | Modern, professional |
+| **Dark Mode** | ❌ | ✅ |
+| **File Queue** | ❌ | ✅ |
+| **Search** | ❌ | ✅ |
+| **Copy Segments** | ❌ | ✅ |
+| **Resizable Window** | ❌ | ✅ |
+| **Export Formats** | SRT, TXT, VTT, JSON, TSV | TXT, SRT, VTT, JSON |
+| **Offline** | ✅ | Requires backend |
+| **Easy Setup** | ✅✅ | ✅ (2 terminals) |
+| **Deployment** | Desktop only | Can host online |
+| **Code Size** | ~25KB | ~200KB |
+
+---
+
+## 🚀 Which Should You Use?
+
+### Use **Desktop App** if:
+- You want simple, quick setup
+- You never share transcriptions
+- You prefer offline processing
+- You don't need advanced features
+
+### Use **Web App** if:
+- You like modern interfaces
+- You want dark/light themes
+- You need file queue management
+- You want to potentially share online
+- You want professional appearance
+
+---
+
+## 📁 Project Structure
+
+```
+whisper/
+├── farsi_transcriber/              (Desktop PyQt6 App)
+│   ├── ui/
+│   ├── models/
+│   ├── utils/
+│   ├── config.py
+│   ├── main.py
+│   └── requirements.txt
+│
+└── farsi_transcriber_web/          (Web React App)
+    ├── src/
+    │   ├── App.tsx
+    │   ├── components/
+    │   └── main.tsx
+    ├── backend/
+    │   ├── app.py
+    │   └── requirements.txt
+    ├── package.json
+    └── vite.config.ts
+```
+
+---
+
+## 🔧 System Requirements
+
+### Desktop App
+- Python 3.8+
+- ffmpeg
+- 4GB RAM
+
+### Web App
+- Python 3.8+ (backend)
+- Node.js 16+ (frontend)
+- ffmpeg
+- 4GB RAM
+
+---
+
+## 📝 Setup Checklist
+
+### Initial Setup (One-time)
+
+- [ ] Install ffmpeg
+  ```bash
+  # Ubuntu/Debian
+  sudo apt install ffmpeg
+
+  # macOS
+  brew install ffmpeg
+
+  # Windows
+  choco install ffmpeg
+  ```
+
+- [ ] Verify Python 3.8+
+  ```bash
+  python3 --version
+  ```
+
+- [ ] Verify Node.js 16+ (for web app only)
+  ```bash
+  node --version
+  ```
+
+### Desktop App Setup
+
+- [ ] Create virtual environment
+- [ ] Install requirements
+- [ ] Run app
+
+### Web App Setup
+
+**Backend:**
+- [ ] Create virtual environment
+- [ ] Install requirements
+- [ ] Run Flask server
+
+**Frontend:**
+- [ ] Install Node dependencies
+- [ ] Run dev server
+
+---
+
+## 🎯 Quick Start (Fastest)
+
+### Desktop (30 seconds)
+```bash
+cd whisper/farsi_transcriber
+python3 -m venv venv && source venv/bin/activate
+pip install -r requirements.txt && python main.py
+```
+
+### Web (2 minutes)
+Terminal 1:
+```bash
+cd whisper/farsi_transcriber_web/backend
+python3 -m venv venv && source venv/bin/activate
+pip install -r requirements.txt && python app.py
+```
+
+Terminal 2:
+```bash
+cd whisper/farsi_transcriber_web
+npm install && npm run dev
+```
+
+---
+
+## 🐛 Troubleshooting
+
+### "ffmpeg not found"
+Install ffmpeg (see requirements above)
+
+### "ModuleNotFoundError" (Python)
+```bash
+# Ensure virtual environment is activated
+source venv/bin/activate  # Linux/Mac
+# or
+venv\Scripts\activate  # Windows
+```
+
+### "npm: command not found"
+Install Node.js from https://nodejs.org
+
+### App runs slow
+- Use GPU: Install CUDA
+- Reduce model size: change to 'small' or 'tiny'
+- Close other applications
+
+---
+
+## 📚 Full Documentation
+
+- **Desktop App:** `farsi_transcriber/README.md`
+- **Web App:** `farsi_transcriber_web/README.md`
+- **API Docs:** `farsi_transcriber_web/README.md` (Endpoints section)
+
+---
+
+## 🎓 What Was Built
+
+### Desktop Application (PyQt6)
+✅ File picker for audio/video
+✅ Whisper integration with word-level timestamps
+✅ 5 export formats (TXT, SRT, VTT, JSON, TSV)
+✅ Professional styling
+✅ Progress indicators
+✅ Threading to prevent UI freezing
+
+### Web Application (React + Flask)
+✅ Complete Figma design implementation
+✅ File queue management
+✅ Dark/light theme
+✅ Search with highlighting
+✅ Segment management
+✅ Resizable window
+✅ RTL support
+✅ Flask backend with Whisper integration
+✅ 4 export formats
+✅ Real file upload handling
+
+---
+
+## 🚀 Next Steps
+
+1. **Choose your app** (Desktop or Web)
+2. **Install ffmpeg** if not already installed
+3. **Follow the setup instructions** above
+4. **Test with a Farsi audio file**
+5. **Export in your preferred format**
+
+---
+
+## 💡 Tips
+
+- **First transcription is slow** (downloads 769MB model)
+- **Use larger models** (medium/large) for better accuracy
+- **Use smaller models** (tiny/base) for speed
+- **GPU significantly speeds up** transcription
+- **Both apps work offline** (after initial model download)
+
+---
+
+## 📧 Need Help?
+
+- Check the full README in each app's directory
+- Verify all requirements are installed
+- Check browser console (web app) or Python output (desktop)
+- Ensure ffmpeg is in your PATH
+
+---
+
+**Enjoy your Farsi transcription apps!** 🎉