SenpaiGPT is a simple AI-powered chatbot application that uses the Groq SDK for language model interactions and Tavily for web search capabilities. It includes a backend server built with Express.js and a basic frontend chat interface.

Features

• Real-time chat with an AI assistant
• Web search integration for up-to-date information
• Thread-based conversation persistence using NodeCache
• CLI version for terminal-based interaction

Prerequisites

• Node.js (v14 or higher recommended)
• API keys for:
  • Groq (GROQ_API_KEY)
  • Tavily (TAVILY_API_KEY)

Installation

1. Clone the repository:

   git clone git@github.com:alwaysahad/SenpaiGPT.git
   cd SenpaiGPT
   

2. Install dependencies:

   cd backend
   npm install
   

3. Set up environment variables: Create a .env file in the backend directory and add your API keys:

   GROQ_API_KEY=your_groq_api_key
   TAVILY_API_KEY=your_tavily_api_key
   

Running the Application

Backend Server and Frontend

1. Start the server:

   cd backend
   npm start
   

   The server will run on http://localhost:3001

2. Open the frontend:

   • Navigate to frontend/index.html and open it in a web browser.
   • You can now interact with the chatbot through the web interface.

CLI Version

For a terminal-based chat:

cd backend
node app.js

Type your messages and press Enter. Type 'bye' to exit.

Project Structure

• backend/
  • server.js: Express server handling chat requests
  • chatBot.js: Core logic for generating responses using Groq and Tavily
  • app.js: CLI version of the chatbot
• frontend/
  • index.html: Chat UI
  • script.js: Client-side logic for sending messages and displaying responses

Dependencies

• @tavily/core: For web search
• cors: Cross-origin resource sharing
• express: Web server framework
• groq-sdk: Groq API integration
• node-cache: For caching conversation threads

For any issues or contributions, please open an issue or pull request on the repository.