Create comprehensive README with architecture, setup, and usage instructions
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README.md
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README.md
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# discord-voice-translator-v2
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# Discord Voice Translator V2 🎤🌍
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Discord Voice Translation Bot - Microservices Architecture with GPU-accelerated transcription and multi-language translation
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A comprehensive microservices-based Discord bot that captures voice channel audio, transcribes it using GPU-accelerated Whisper, and provides real-time multi-language translation.
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## 🚀 Features
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- **Real-time Voice Capture**: Records individual user audio streams from Discord voice channels
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- **GPU-Accelerated Transcription**: Uses faster-whisper with NVIDIA RTX 4000 for lightning-fast speech-to-text
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- **Multi-language Translation**: Supports translation to English, German, Korean, and more
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- **Microservices Architecture**: Scalable, maintainable design with independent services
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- **Web Dashboard**: Real-time monitoring and historical analytics
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- **High Performance**: Optimized for low-latency processing
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## 🏗️ Architecture
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```
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Discord Voice → [Recorder] → Raw PCM → [Audio Processor] → Optimized WAV
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↓
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[Whisper Service] → Transcription → [Translator] → Multi-language
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↓
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[Transcriber] → Discord Messages + Database → [Dashboard]
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```
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### Services Overview
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| Service | Purpose | Technology |
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|---------|---------|------------|
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| **Recorder** | Discord bot + voice capture | Node.js, Discord.js |
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| **Audio Processor** | PCM to WAV conversion | Python, FFmpeg |
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| **Whisper Service** | GPU-accelerated transcription | Python, faster-whisper, CUDA |
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| **Translator** | Multi-language translation | Python, Google/DeepL APIs |
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| **Transcriber** | Workflow orchestration | Node.js, Message queues |
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| **Dashboard** | Web monitoring interface | Node.js, Express, WebSockets |
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## 🛠️ Prerequisites
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### Hardware Requirements
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- **GPU**: NVIDIA RTX 4000 (or compatible CUDA GPU)
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- **RAM**: 8GB+ recommended
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- **Storage**: 50GB+ for models and audio cache
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### Software Requirements
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- **Docker** with Docker Compose
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- **NVIDIA Container Toolkit** for GPU support
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- **Unraid** (recommended) or Linux host
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## ⚡ Quick Start
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### 1. Clone the Repository
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```bash
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git clone <your-gitea-url>/discord-voice-translator-v2.git
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cd discord-voice-translator-v2
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```
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### 2. Configure Environment
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```bash
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cp .env.example .env
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# Edit .env with your API keys and settings
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```
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Required environment variables:
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```bash
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# Discord Bot
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DISCORD_TOKEN=your_discord_bot_token
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CLIENT_ID=your_bot_client_id
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GUILD_ID=your_guild_id
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# Database
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POSTGRES_PASSWORD=your_secure_password
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# Translation APIs
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GOOGLE_TRANSLATE_API_KEY=your_google_api_key
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DEEPL_API_KEY=your_deepl_api_key
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```
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### 3. Start Services
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```bash
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# Start core services
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docker-compose up -d
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# Start with admin interfaces
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docker-compose --profile admin up -d
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```
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### 4. Verify GPU Support
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```bash
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# Check Whisper service GPU status
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curl http://localhost:8001/health
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```
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## 📊 Service Endpoints
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| Service | Port | Health Check | Purpose |
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|---------|------|--------------|---------|
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| Whisper Service | 8001 | `/health` | GPU transcription |
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| Translator | 8002 | `/health` | Multi-language translation |
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| Dashboard | 3000 | `/` | Web monitoring |
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| PostgreSQL | 5432 | - | Database |
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| Redis | 6379 | - | Message queue |
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| pgAdmin | 8080 | `/` | Database admin |
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| Redis Commander | 8081 | `/` | Redis admin |
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## 🎮 Discord Commands
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- `/join` - Join your voice channel and start recording
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- `/leave` - Leave voice channel and stop recording
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- `/status` - Show current recording status
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## 📈 Performance Optimizations
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### GPU Configuration
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- **Model**: faster-whisper large-v2 with CUDA
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- **Precision**: float16 for optimal RTX 4000 performance
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- **Memory**: ~2GB VRAM usage for transcription
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- **Speed**: 2-3x real-time transcription
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### Audio Processing
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- **Input**: Discord 48kHz stereo PCM
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- **Output**: 16kHz mono WAV (optimized for Whisper)
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- **Conversion**: FFmpeg with fallback to Python/scipy
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- **Cleanup**: Automatic removal of processed PCM files
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## 🗄️ Database Schema
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- **connections**: Voice channel session tracking
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- **recordings**: Individual user audio recordings
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- **transcriptions**: Speech-to-text results with confidence scores
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- **translations**: Multi-language translation results
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- **processing_metrics**: Performance monitoring
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- **user_activity**: Aggregated usage statistics
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## 🔧 Development
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### Local Development
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```bash
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# Individual service development
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cd services/recorder
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npm install
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npm run dev
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# Audio processor
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cd services/audio-processor
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pip install -r requirements.txt
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python src/processor.py
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```
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### Testing GPU Support
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```bash
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# Verify NVIDIA Docker runtime
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docker run --rm --gpus all nvidia/cuda:11.8-base-ubuntu22.04 nvidia-smi
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# Test Whisper service
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docker-compose exec whisper-service python -c "import torch; print(torch.cuda.is_available())"
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```
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## 📝 Logging
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- **Structured Logging**: JSON format for all services
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- **Log Levels**: Configurable via `LOG_LEVEL` environment variable
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- **Centralized**: All logs stored in `/data/logs/`
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- **Monitoring**: Real-time log viewing via dashboard
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## 🔐 Security
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- **Environment Variables**: Secure credential management
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- **Database**: PostgreSQL with connection encryption
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- **Network**: Internal Docker network isolation
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- **API Keys**: Separate service credentials
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## 🚀 Deployment
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### Unraid Setup
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1. Install Community Applications plugin
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2. Add Docker Compose plugin
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3. Configure GPU passthrough
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4. Import docker-compose.yml
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### Production Considerations
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- **SSL**: Configure Nginx reverse proxy with SSL certificates
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- **Backup**: Regular database and configuration backups
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- **Monitoring**: Set up health check alerts
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- **Scaling**: Horizontal scaling for high-traffic Discord servers
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## 🛠️ Troubleshooting
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### Common Issues
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**GPU Not Detected**
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```bash
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# Check NVIDIA drivers
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nvidia-smi
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# Verify Docker GPU support
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docker run --rm --gpus all nvidia/cuda:11.8-base nvidia-smi
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```
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**Service Won't Start**
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```bash
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# Check logs
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docker-compose logs [service-name]
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# Verify environment variables
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docker-compose config
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```
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**Audio Processing Slow**
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- Verify GPU acceleration is working
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- Check available VRAM
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- Monitor CPU usage during conversion
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## 📚 API Documentation
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Once running, visit:
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- **Whisper API**: http://localhost:8001/docs
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- **Translator API**: http://localhost:8002/docs
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- **Dashboard**: http://localhost:3000
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## 🤝 Contributing
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1. Fork the repository
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2. Create feature branch: `git checkout -b feature/amazing-feature`
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3. Commit changes: `git commit -m 'Add amazing feature'`
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4. Push to branch: `git push origin feature/amazing-feature`
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5. Open a Pull Request
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## 📄 License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## 🎯 Roadmap
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- [ ] Complete Translator service implementation
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- [ ] Build Transcriber orchestration service
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- [ ] Create web dashboard with real-time updates
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- [ ] Add voice cloning capabilities
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- [ ] Implement speaker diarization
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- [ ] Support for additional languages
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- [ ] Mobile app for remote monitoring
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- [ ] Advanced analytics and insights
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## 💡 Credits
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Built with:
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- [faster-whisper](https://github.com/guillaumekln/faster-whisper) for GPU-accelerated transcription
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- [Discord.js](https://discord.js.org/) for Discord bot functionality
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- [FastAPI](https://fastapi.tiangolo.com/) for high-performance APIs
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- [PostgreSQL](https://www.postgresql.org/) for reliable data storage
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- [Redis](https://redis.io/) for message queuing and caching
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---
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**🚀 Ready to translate your Discord conversations in real-time with the power of your RTX 4000!**
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