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RaiffsBits
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Gendette

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# Gated model: Login with a HF token with gated access permission
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from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("undefined")
model.load_adapter("RaiffsBits/Gendette", set_active=True)
A newer version of this model is available: Raiff1982/Codette2

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Codette AI Interface

A sophisticated AI assistant interface featuring multi-perspective reasoning, quantum-inspired processing, and cognitive cocoon artifact management.

Features

🧠 Multi-Perspective Reasoning

  • Newton's logical analysis
  • Da Vinci's creative synthesis
  • Quantum computing perspectives
  • Philosophical inquiry
  • Neural network processing
  • Resilient kindness framework

🌌 Quantum-Inspired Processing

  • Quantum state visualization
  • Chaos theory integration
  • Parallel thought processing
  • Entanglement-based correlations

📦 Cognitive Cocoon System

  • Thought pattern preservation
  • Encrypted storage
  • Pattern analysis
  • Memory management

🎨 Advanced UI Features

  • Dark/Light mode
  • Real-time quantum state visualization
  • Interactive chat interface
  • Admin dashboard
  • File management system

🔒 Security & Privacy

  • Supabase authentication
  • Row-level security
  • Encrypted storage
  • Admin role management

Tech Stack

  • React + TypeScript
  • Tailwind CSS
  • Supabase
  • Framer Motion
  • Lucide Icons

Getting Started

  1. Clone the repository

  2. Copy .env.example to .env and add your credentials:

    VITE_SUPABASE_URL=your-project-url
VITE_SUPABASE_ANON_KEY=your-project-anon-key

  3. Install dependencies:

    npm install

  4. Start the development server:

    npm run dev

Architecture

Core Components

  • AICore: Central processing unit with multi-perspective reasoning
  • CognitionCocooner: Thought pattern preservation system
  • VisualizationPanel: Real-time quantum state display
  • ChatInterface: User interaction management

Data Flow

  1. User input → Chat Interface
  2. AICore processes with multiple perspectives
  3. Results stored in Cognitive Cocoons
  4. Real-time visualization updates
  5. Response rendered to user

Contributing

We welcome contributions! Please read our contributing guidelines before submitting pull requests.

License

MIT License - See LICENSE file for details

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Dataset used to train RaiffsBits/Gendette