📝 SeKernel

A semantic-kernel for Streamlit python projects to give your applications 🧠 memory

⚙️ How to

• clone the repo
• from within the project directory run python setup install
• Import into your projects:

  • # Load kernel
    import kernel.kernel as kk
    
    data = kk.readData() # Ensure that the extracted kernel.json file is in the same directory that you're using the module in. This may then be used in your LlamaCpp prompt as context
    
    # Use kernel to store conversations
    storedData = kk.saveData()