Chatbot Full-Stack Example

This repository contains a simple full-stack AI chatbot application using FastAPI for the backend, React (via Vite) for the frontend, and SQLite for data persistence.

Backend

• FastAPI REST API with SQLite and SQLAlchemy.
• Small rule-based chatbot that replies to common greetings and stores the conversation in a database.
• /teach endpoint allows adding new trigger/response pairs at runtime for lightweight, continuous learning.
• Run locally:

  cd backend
  uvicorn app.main:app --reload

• Tests:

  pytest

Frontend

• React application built with Vite.
• Fetches existing chat history on load and communicates with backend via /api proxy.
• Simple form lets users teach the bot new responses without retraining.
• Development:

  cd frontend
  npm install
  npm run dev

• Tests:

  npm test -- --run

• Build for production:

  npm run build