Moody LLM

Moody LLM is an interactive chat application where a Language Model's mood keeps changing, allowing users to receive varied responses based on the LLM's current mood. The project is designed to simulate conversations with a moody AI, providing a unique and dynamic user experience.

Overview

Demo

Getting Started

Prerequisites:

1. Supabase Account:

   • Create an account on Supabase and set up a table.
   • Obtain the Supabase Key and Supabase URL from the Supabase dashboard.
   • Configure these details in the backend .env file.

   Table Schema:

   id UUID PRIMARY KEY
   created_at TIMESTAMPZ NOT NULL
   user_id UUID NOT NULL
   message JSON NOT NULL

2. Ollama Installation:

   • Install Ollama on your system.
   • Once installed, Do the following:
     • Run the command ollama serve to start the ollama server.
     • In the new tab run, ollama pull llama3 to pull the llama3 model in your system.

Steps:

• Clone the project repository to your local machine.

• Backend:

  • Navigate to the backend folder.
  • Install requirements: pip install -r requirements.txt
  • Run the backend services: fastapi run dev

  Access backend services at: http://localhost:8000/

• Frontend:

  • Navigate to the frontend folder.
  • Install libraries: npm install
  • Run the frontend app: npm run dev

  Access the frontend app at: http://localhost:5173/