AI Echo - Chatting Website

This project implements a real-time chatting application using Django Channels, DRF, Redis, Daphne, React JS and SQLite as the database. It allows users to communicate realtime via WebSockets and integrates AI functionalities for enhanced chat experiences.

Features

• Real-time chat with WebSocket support
• AI generated replies and summary of the chat using GEMINI 2.0 flash model
• AI generated realtime chat translation
• Personalised response based on profile customisation
• Multi-language support with emojis
• User authentication via Django Rest Framework (DRF) and simple JWT
• SQLite database for storing user data and chat messages

Tech Stack

• Backend: Django, Django Channels, Redis, Daphne, Django Rest Framework (DRF)
• Frontend: React JS , Tailwind CSS , React Resizable Panels, React-use-Websocket Hook
• Database: SQLite

Installation

Setup Instructions

Backend Setup

1. Clone the repository:

   git clone <repository_url>
   cd <repository_directory>
   

2. Setting up the frontend:

   npm i
   

3. Setting the backend:
   • Create the virtual environment and install the dependencies

     python -m venv venv
     venv/Scripts/activate
     pip install -r requirements.txt
     

• Create an .env file and add the API key

  GEMINI_API_KEY = <your_api_key>
  

• Create the database and configure superuser

  cd backend
  python manage.py makemigrations
  python manage.py migrate
  python manage.py createsuperuser
  

4. Setting up Redis:
   • on Linux open terminal and

     sudo apt update
     sudo apt install redis-server
     sudo service redis-server start
     redis-cli ping
     

     if you receive PONG then you are good to go 😀
   • on Windows Download Ubuntu 22.04.5 LTS to run WSL and follow the above steps
5. Firing up the server:
   • loading the backend server

     cd backend
     python manage.py runserver
     

   • loading the frontend server

     cd frontend
     npm start
     

     Boom you are good to go !! Your realtime chat-application has started working !!! Visit http://localhost:3000/default to access the website !!