🦎 Gator AI Influencer Platform

Gator don't play no shit

Gator is a comprehensive AI-powered platform that enables you to create, manage, and deploy AI influencers with complete control over their persona, content generation, and social media presence. Built for privacy, customization, and professional-grade content creation.

🚀 Quick Start

1. Automated Server Setup (Ubuntu/Debian)

curl -sSL https://raw.githubusercontent.com/terminills/gator/main/server-setup.sh | sudo bash

2. Manual Setup

# Clone and setup
git clone https://github.com/terminills/gator.git
cd gator
python setup_db.py  # Initialize database
python demo.py      # Run demo to verify setup

# Start the platform
cd src && python -m backend.api.main
# Visit http://localhost:8000 for the dashboard

3. Updating an Existing Installation

# Update dependencies and migrate database
./update.sh

# For verbose output
./update.sh --verbose

# Skip verification step
./update.sh --skip-verification

✨ Current Features

🎭 AI Persona Management

• Complete Persona System: Create and manage AI influencer personas with customizable appearance, personality, and content themes
• Style Preferences: Define visual aesthetics, content tone, and generation parameters
• Multi-Persona Support: Manage multiple AI influencers from a single dashboard
• Persona Templates: Pre-built templates for different influencer types (tech, lifestyle, creative, etc.)

🎨 Content Generation Pipeline

• Local AI Image Generation: Privacy-focused image generation using Stable Diffusion (no API costs!)
• API-Based Image Generation: Integrated support for DALL-E 3 and other cloud services
• Text Content Generation: LLM integration for captions, posts, and engagement content
• Video Generation Support: Framework ready for video content creation
• Style Consistency: Maintains visual and tonal consistency across all generated content
• Content Quality Control: Multiple quality levels (draft, standard, high) with post-processing

📱 Social Media Integration

• Multi-Platform Publishing: Support for Instagram, Facebook, Twitter, TikTok, LinkedIn
• Automated Scheduling: Smart scheduling based on engagement patterns
• Content Adaptation: Automatically formats content for different platform requirements
• Engagement Tracking: Real-time analytics and performance metrics
• Cross-Platform Sync: Coordinate campaigns across multiple social networks

📊 RSS Feed & Trend Analysis

• RSS Feed Ingestion: Monitor news feeds and trending topics for content inspiration
• Topic Extraction: AI-powered analysis of current events and trends
• Content Triggers: Automatically generate relevant content based on trending topics
• Knowledge Base: Searchable database of ingested content for persona context

🎯 Administrative Dashboard

• Web-Based Control Panel: Modern, responsive interface for complete platform management
• Real-Time Analytics: Monitor content generation, engagement rates, and system performance
• API Management: Configure external services and API keys
• User Management: Multi-user support with role-based access control
• Domain Management: Built-in GoDaddy DNS integration for automated domain setup
• Database Management: One-click database backups and schema synchronization

🏗️ Technical Architecture

• FastAPI Backend: High-performance async Python backend with comprehensive API
• SQLAlchemy ORM: Robust database layer with async operations and migrations
• Modular Design: Clean separation of concerns with pluggable service architecture
• Production Ready: Structured logging, monitoring, and error handling
• Security First: Authentication, input validation, and security middleware
• Scalable: Designed for horizontal scaling and high availability

🔒 Privacy & Security

• Self-Hosted: Complete data sovereignty - runs entirely on your infrastructure
• No External Dependencies: All AI processing happens on your hardware
• Encrypted Storage: Secure storage of persona data and generated content
• Access Control: Role-based permissions and API key management
• Audit Logging: Comprehensive logging for security and compliance

📊 Analytics & Monitoring

• Real-Time Metrics: Live dashboards for content generation and engagement
• Performance Tracking: Monitor system resource usage and API response times
• Content Analytics: Track engagement rates, click-through rates, and audience metrics
• Usage Reports: Detailed reporting for content generation and publishing statistics

🤖 ACD (Autonomous Continuous Development) System

Gator includes a groundbreaking ACD system that enables AI-to-AI communication and autonomous learning:

• Context Tracking: Every content generation creates an ACD context that records phase, complexity, confidence, and metadata
• Error Diagnostics: Comprehensive trace artifacts capture full stack traces, environment info, and error patterns
• Multi-Agent Coordination: Agents communicate via ACD metadata to coordinate tasks, request reviews, and hand off work
• Learning Loop: System learns from successful generations by extracting patterns and strategies
• Pattern Analysis: Analyze what content performs well and automatically apply learned strategies to future generations
• Feedback Integration: User ratings and social media engagement automatically update ACD contexts
• Agent Communication Protocol: Standardized protocol for AI agents to share context and coordinate autonomously

What Makes ACD Special:

• AI-First Design: Built for agent-to-agent communication, not just human monitoring
• Institutional Memory: Knowledge persists across generations and improves over time
• Self-Improving System: Automatically learns from every piece of content generated
• Competitive Moat: Learning compounds over time, creating a continuously improving advantage

ACD API Endpoints:

• POST /api/v1/acd/contexts/ - Create ACD context
• GET /api/v1/acd/contexts/{id} - Get context details
• PUT /api/v1/acd/contexts/{id} - Update context
• POST /api/v1/acd/trace-artifacts/ - Log errors with full diagnostics
• GET /api/v1/acd/stats/ - Get analytics and metrics
• GET /api/v1/acd/validation-report/ - System health report

See ACD Implementation Summary for technical details and ACD AI-First Perspective for the vision.

🔮 Planned Features

🎬 Advanced Content Generation

• Video Generation: Full video creation pipeline with AI-powered editing
• Voice Synthesis: Custom voice generation for video content and podcasts
• Interactive Content: Polls, stories, and engagement-driven content formats
• 3D Avatar Support: Integration with 3D character models and animation

🤖 Enhanced AI Capabilities

• Conversation AI: Real-time chat and comment response automation
• Sentiment Analysis: Advanced mood and trend analysis for content optimization
• Personalized Content: Audience-specific content generation based on engagement data
• Multi-Modal AI: Combined text, image, and video generation in single workflows

🌐 Platform Expansion

• Mobile App: Native mobile applications for iOS and Android
• API Marketplace: Plugin system for third-party integrations
• White Label: Complete white-label solution for agencies and enterprises
• Multi-Tenancy: Support for multiple organizations within single installation

☁️ Cloud & Enterprise Features

• Kubernetes Support: Container orchestration for enterprise deployments
• Cloud Deployment: One-click deployment to AWS, Google Cloud, and Azure
• Load Balancing: Built-in load balancing and auto-scaling capabilities
• Backup & Recovery: Automated backup systems and disaster recovery

💻 System Requirements

Minimum Requirements

• OS: Ubuntu 20.04+ or Debian 11+
• CPU: 8+ cores (Intel/AMD x64)
• RAM: 16GB DDR4
• Storage: 100GB SSD
• GPU: NVIDIA GTX 1060+ (6GB VRAM)
• Network: 1Gbps connection

Recommended Configuration

• OS: Ubuntu 22.04 LTS
• CPU: AMD EPYC 7502 (32+ cores) or Intel Xeon equivalent
• RAM: 64GB+ DDR4
• Storage: 1TB NVMe SSD + 10TB traditional storage
• GPU: 5x AMD MI25 or NVIDIA RTX 4090
• Network: 5Gbps+ fiber connection

🛠️ Installation & Setup

Automated Installation (Recommended)

# Download and run automated setup script
curl -sSL https://raw.githubusercontent.com/terminills/gator/main/server-setup.sh | sudo bash -s -- --domain your-domain.com --email admin@your-domain.com

# With AMD GPU support (auto-detects MI25)
curl -sSL https://raw.githubusercontent.com/terminills/gator/main/server-setup.sh | sudo bash -s -- --rocm --domain your-domain.com --email admin@your-domain.com

# With NVIDIA GPU support
curl -sSL https://raw.githubusercontent.com/terminills/gator/main/server-setup.sh | sudo bash -s -- --nvidia --domain your-domain.com --email admin@your-domain.com

Note for AMD MI25 Users: The setup script automatically detects MI25 GPUs and installs ROCm 5.7.1 with gfx900-optimized configuration. See MI25 Compatibility Guide for details.

Manual Installation

# 1. Clone repository
git clone https://github.com/terminills/gator.git
cd gator

# 2. Install dependencies
pip install -e .

# 3. Setup environment
cp .env.template .env
# Edit .env with your configuration

# 4. Initialize database
python setup_db.py

# 5. Run demo to verify installation
python demo.py

# 6. Start the platform
cd src && python -m backend.api.main

Docker Installation

# Quick start with Docker Compose
git clone https://github.com/terminills/gator.git
cd gator
docker-compose up -d

🎮 GPU Support

AMD GPUs (ROCm)

Gator supports AMD GPUs through ROCm with automatic version detection and optimization:

Next-Gen Support (ROCm 7.0+) - PyTorch 2.10 🆕

• Full PyTorch 2.10 nightly support with automatic dependency compatibility checking
• ROCm 7.0+ detection: Automatically detects and installs correct PyTorch versions
• Intelligent dependency management: Compatible versions of transformers, diffusers, and accelerate
• See PyTorch Version Compatibility Guide for details

Modern GPUs (ROCm 6.5+) - Recommended

• Radeon Pro V620 (RDNA2/gfx1030): Fully supported with ROCm 6.5+ ✨
  • Multi-GPU: 2-8 cards (96GB-256GB VRAM)
  • Standard PyTorch wheels available
  • Nightly builds supported
• MI210/MI250 (CDNA2/gfx90a): ROCm 6.5+
• RX 7900 Series (RDNA3/gfx1100): ROCm 6.5+
• RX 6000 Series (RDNA2/gfx1030): ROCm 6.5+

Legacy GPUs (ROCm 5.7)

• MI25 (Vega 10/gfx900): Fully supported with ROCm 5.7.1
  • See MI25 Compatibility Guide

Multi-GPU Support 🚀

Gator automatically detects and optimizes for multi-GPU configurations with intelligent load balancing:

Automatic Load Balancing ✨ NEW

• Monitors GPU utilization in real-time
• Automatically selects least loaded GPU for each task
• Distributes batch operations (e.g., 4 sample images) across all GPUs
• Example: 4 images on 3 GPUs → 2 on GPU 0, 1 on GPU 1, 1 on GPU 2

Configuration Recommendations:

• 2 GPUs: Parallel inference with automatic load balancing
• 3 GPUs: Specialized tasks (LLM + Image + Video) with optimal distribution
• 4+ GPUs: Enterprise multi-tenant deployment with maximum efficiency

Performance Gains:

• 2 GPUs: Up to 2x faster batch generation
• 4 GPUs: Up to 4x faster batch generation
• Automatic failover if a GPU fails

See GPU Load Balancing Guide and Multi-GPU Setup Guide for details.

Installation:

# Automatic detection and installation
sudo bash server-setup.sh --rocm

# Check PyTorch version and compatible dependencies
python demo_pytorch_version_check.py

# Install PyTorch 2.10 nightly with ROCm 7.0
pip3 install --pre torch torchvision torchaudio \
  --index-url https://download.pytorch.org/whl/nightly/rocm7.0

PyTorch Version Compatibility: The system automatically detects your PyTorch version and ensures compatible versions of ML libraries are installed. See PyTorch Version Compatibility Guide for details.

Advanced AI Frameworks for AMD

For advanced AI workloads on AMD hardware, Gator provides automated installation scripts:

vLLM (High-Performance LLM Inference):

# Build and install vLLM from source for AMD ROCm
bash scripts/install_vllm_rocm.sh

• Required for production LLM inference
• No standard wheels available for AMD - builds from source
• 10-30 minute build time
• See Installation Scripts Guide

Ollama (Reliable LLM Runtime with Automatic Fallback):

# Install Ollama (simple one-line install)
curl -fsSL https://ollama.com/install.sh | sh

# Pull a model
ollama pull llama3:8b

• Automatic fallback when llama.cpp encounters errors (e.g., floating point exceptions)
• Simple installation and model management
• Compatible with a wide range of models (Llama 3, Qwen, CodeLlama, etc.)
• Works alongside llama.cpp - no configuration needed
• See Ollama Setup Guide for detailed instructions

ComfyUI (Node-Based Stable Diffusion):

# Install ComfyUI with ROCm support
bash scripts/install_comfyui_rocm.sh

• Powerful UI for Stable Diffusion workflows
• Auto-detects ROCm or falls back to CPU mode
• Includes extension manager and model downloader
• Integrated with automatic fallback to diffusers - works with or without ComfyUI
• See ComfyUI Integration Guide for usage details
• See Installation Scripts Guide

NVIDIA GPUs (CUDA)

• RTX 40 Series: Full support with CUDA 12.0+
• RTX 30 Series: Full support with CUDA 11.x+
• GTX 16/10 Series: Supported with CUDA 11.x+

Installation:

# Automatic detection and installation
sudo bash server-setup.sh --nvidia

CPU-Only Mode

Gator can run without GPU using CPU-based inference engines, though performance will be reduced:

# Install without GPU support
sudo bash server-setup.sh

🌍 Domain & DNS Management

Gator includes built-in GoDaddy DNS integration for automated domain management:

1. Purchase Domain: Buy domain through GoDaddy or transfer existing domain
2. Configure API: Add GoDaddy API credentials in admin panel
3. Automatic Setup: Platform automatically configures DNS records, SSL certificates, and subdomains
4. Monitoring: Real-time DNS status monitoring and automatic renewal

Supported DNS Providers

• GoDaddy (built-in)
• Cloudflare (planned)
• Route53 (planned)
• Custom DNS (manual configuration)

🚀 API Documentation

REST API Endpoints

• Personas: /api/v1/personas/ - Manage AI personas
• Content: /api/v1/content/ - Generated content management
• Social: /api/v1/social/ - Social media integration
• Analytics: /api/v1/analytics/ - Platform metrics and reporting
• Feeds: /api/v1/feeds/ - RSS feed management
• ACD: /api/v1/acd/ - Autonomous context management and AI coordination

Interactive API documentation available at http://your-domain.com:8000/docs

WebSocket API

• Real-time Updates: Live content generation progress
• System Monitoring: Real-time system metrics
• Chat Interface: Live persona interaction testing

📱 Dashboard Features

Main Dashboard

• System Overview: Platform health, resource usage, and active processes
• Quick Actions: Generate content, schedule posts, manage personas
• Recent Activity: Latest generated content and system events
• Performance Metrics: Real-time analytics and engagement statistics

Persona Management

• Visual Editor: Drag-and-drop persona configuration interface
• Template Library: Pre-built persona templates for different niches
• Style Gallery: Visual style selection and customization tools
• Preview System: Real-time preview of persona-generated content

Content Library

• Generated Content: Browse, edit, and manage all AI-generated content
• Batch Operations: Bulk content generation and management
• Quality Control: Content approval workflows and moderation tools
• Publishing Queue: Scheduled content with publishing calendar

Analytics Dashboard

• Engagement Metrics: Detailed analytics for all social media platforms
• Audience Insights: Demographic and behavioral analysis
• Content Performance: Track which content types perform best
• ROI Tracking: Revenue and conversion tracking for monetized content

🔧 Configuration

Environment Variables

# Core Settings
GATOR_ENV=production
SECRET_KEY=your-secret-key
DATABASE_URL=postgresql://user:pass@localhost/gator

# AI Model Configuration  
AI_MODEL_PATH=/path/to/models
HUGGING_FACE_TOKEN=your-token
OPENAI_API_KEY=your-key

# Social Media APIs
FACEBOOK_API_KEY=your-key
INSTAGRAM_API_KEY=your-key
TWITTER_API_KEY=your-key

# DNS Management
GODADDY_API_KEY=your-key
GODADDY_API_SECRET=your-secret
DEFAULT_DOMAIN=your-domain.com

# Storage & CDN
STORAGE_BACKEND=local  # local, s3, gcs
CDN_ENDPOINT=https://cdn.your-domain.com

Database Configuration

Gator supports multiple database backends:

• PostgreSQL (recommended for production)
• SQLite (development only)
• MySQL/MariaDB (alternative option)

🔐 Security & Compliance

Security Features

• OAuth 2.0: Industry-standard authentication
• API Rate Limiting: Protect against abuse and overuse
• Input Validation: Comprehensive input sanitization
• SQL Injection Protection: Parameterized queries and ORM security
• XSS Prevention: Content sanitization and CSP headers
• HTTPS Enforcement: TLS encryption for all communications

Compliance Support

• GDPR Ready: Data privacy controls and user consent management
• CCPA Compliance: California privacy law compliance tools
• Content Labeling: AI-generated content disclosure and watermarking
• Age Verification: Built-in age verification for adult content platforms
• Audit Trails: Comprehensive logging for regulatory compliance

🔧 Maintenance & Updates

Updating Your Installation

Keep your Gator installation up-to-date with the latest features, bug fixes, and security patches:

# Standard update (recommended)
./update.sh

# Update with detailed output
./update.sh --verbose

# Quick update without verification
./update.sh --skip-verification

# Update without running migrations (if already applied)
./update.sh --skip-migrations

The update script automatically:

• ✅ Checks Python version and prerequisites
• ✅ Updates pip to the latest version
• ✅ Updates all Python dependencies
• ✅ Runs database migration scripts
• ✅ Updates database schema to latest version
• ✅ Verifies installation integrity

Manual Database Migrations

If you need to run migrations manually:

# Run a specific migration
python migrate_add_base_image_status.py
python migrate_add_appearance_locking.py

# Reinitialize database (caution: may reset data)
python setup_db.py

Backup Before Updates

Always backup your database before updating:

# SQLite backup
cp gator.db gator.db.backup.$(date +%Y%m%d)

# PostgreSQL backup
pg_dump -U gator_user gator_production > backup_$(date +%Y%m%d).sql

📞 Support & Community

Documentation

• API Reference: Complete API documentation with examples
• Developer Guide: In-depth development and customization guide
• Deployment Guide: Production deployment best practices
• ACD Implementation Summary: Technical reference for the Autonomous Continuous Development system
• ACD AI-First Perspective: Understanding ACD as an AI-to-AI communication protocol
• ACD Phase 2 Implementation: Active integration and learning loop documentation
• Local Image Generation Guide: Setup and usage for local AI image generation
• Installation Scripts Guide: vLLM and ComfyUI installation for AMD ROCm
• Troubleshooting: Common issues and solutions

Community Resources

• GitHub Discussions: Community Q&A and feature requests
• Discord Server: Real-time community chat and support
• Video Tutorials: Step-by-step setup and usage guides
• Blog: Updates, tutorials, and industry insights

Professional Support

• Priority Support: Dedicated support for enterprise customers
• Custom Development: Tailored features and integrations
• Training: On-site training and onboarding assistance
• SLA Options: Service level agreements for mission-critical deployments

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details on:

• Code of Conduct
• Development Workflow
• Pull Request Process
• Issue Reporting

⭐ Star History

If you find Gator helpful, please consider giving it a star on GitHub to help others discover the project!