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README.md
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---
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title: AuraNexus - AI Content Orchestration Platform
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emoji: π€
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colorFrom: blue
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colorTo: yellow
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sdk: docker
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pinned: false
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tags:
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- ai
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- content-generation
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- social-media
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- automation
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- multimodal
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license: mit
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language:
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- en
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---
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# AuraNexus - AI Content Orchestration Platform
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AuraNexus is an open-source, self-hosted platform that automates the entire content lifecycle: Ideation β Creation β Optimization β Multimedia Production β Publishing β Analytics.
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## Features
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- **AI-Powered Content Generation**: Generate text, images, and multimedia content using open-source models
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- **Multi-Platform Distribution**: Publish to Twitter, Instagram, LinkedIn, YouTube, and more
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- **Smart Optimization**: Automatically optimize content for different platforms and audiences
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- **Analytics Dashboard**: Track performance and get AI-powered insights
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- **Privacy-First**: Self-hosted solution with complete control over your data
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## Architecture
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The platform consists of five core modules:
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1. **AI Gateway**: Unified interface for LLMs and diffusion models
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2. **Content Studio**: Context-aware editor with auto-generation capabilities
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3. **Multimedia Factory**: Pipeline for text-to-image, text-to-video generation
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4. **Omni-Channel Distributor**: Adapters for various social platforms
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5. **Insight Dashboard**: Analytics and recommendation engine
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## Quick Start
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### Prerequisites
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- Python 3.8+
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- Docker and Docker Compose (optional, for containerized deployment)
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### Running the Platform
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1. **Clone the repository:**
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```bash
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git clone https://huggingface.co/[YOUR_USERNAME]/auranexus
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cd auranexus
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```
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2. **Start the platform:**
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```bash
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./startup.sh
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```
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3. **Access the platform:**
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- Frontend: http://localhost:3000
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- API: http://localhost:8000
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- API Documentation: http://localhost:8000/docs
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4. **Create an account** using the registration form
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5. **Start generating content** using the content creation interface
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### Using Docker (Alternative Method)
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1. **Build and start services:**
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```bash
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docker-compose up --build
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```
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2. **Access the platform:**
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- Frontend: http://localhost:3000
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- API: http://localhost:8000
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## API Endpoints
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- `POST /api/v1/auth/register` - Register a new user
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- `POST /api/v1/auth/token` - Get authentication token
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- `POST /api/v1/content/generate` - Generate new content
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- `POST /api/v1/content/optimize` - Optimize existing content
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- `GET /api/v1/content/my` - Get your content items
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- `GET /api/v1/models` - List available AI models
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## Development
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### Project Structure
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```
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auranexus/
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βββ api/ # FastAPI application
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βββ database/ # Database models and session management
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βββ core/ # Core utilities (AI gateway, security)
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βββ services/ # Business logic services
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βββ utils/ # Utility functions
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βββ frontend/ # Frontend files
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βββ main.py # Main application entry point
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βββ requirements.txt # Python dependencies
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βββ docker-compose.yml # Docker configuration
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```
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### Extending the Platform
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1. **Add new AI models**: Extend the `AIGateway` class in `core/ai_gateway.py`
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2. **Add platform adapters**: Create new classes in `services/` for additional social platforms
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3. **Enhance content types**: Modify the content studio service to support new content types
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## Production Deployment
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For production deployment:
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1. Set environment variables:
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```bash
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export SECRET_KEY="your-super-secret-key-change-in-production"
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export DATABASE_URL="postgresql://user:password@host:port/dbname"
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```
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2. Use the provided Docker Compose configuration
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3. Set up SSL certificates for HTTPS
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4. Configure a reverse proxy (nginx recommended)
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## Contributing
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We welcome contributions! Please see our contributing guidelines for more information.
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## License
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This project is licensed under the MIT License - see the LICENSE file for details.
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## Support
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For support, please open an issue in this repository or join our community forums.
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