A Python web application that provides a chainlet interface for interacting with local Ollama models.

• Web-based chat interface for Ollama models
• Model selection from available Ollama models
• Conversation history management
• Simple chainlet framework for extensibility

• Python 3.8+
• Ollama installed and running locally
• Internet connection for web assets (Bootstrap, etc.)

1. Clone this repository:

   git clone <repository-url>
   cd ollama-chainlet
   

2. Run the setup script to create a virtual environment and install dependencies:

   chmod +x setup.sh
   ./setup.sh
   

1. Ensure Ollama is running locally.

2. Activate the virtual environment:

   source venv/bin/activate
   

3. Start the application:

   python app.py
   

4. Open your web browser and navigate to:

   http://localhost:5000
   

5. Select a model from the dropdown and start chatting!

ollama-chainlet/
├── app.py                 # Main Flask application
├── static/                # Static assets
│   ├── css/
│   │   └── style.css      # Styling
│   └── js/
│       └── main.js        # Frontend logic
├── templates/
│   └── index.html         # Main interface
├── chainlet/
│   ├── __init__.py
│   ├── core.py            # Core chainlet functionality
│   └── ollama.py          # Ollama integration
├── requirements.txt       # Dependencies
├── .gitignore             # Git ignore file
└── README.md              # Documentation

MIT

• Ollama for providing the local LLM runtime
• Flask for the web framework