ChatGPT Clone with Gemini AI

A chatgpt clone web application that leverages Google's Gemini AI 1.5 Flash model to provide intelligent conversational responses. Built with microservices architecture using Go, Next.js, and gRPC.

Demo

You can access the live demo of the application here.

Architecture

The application is built using microservices architecture with the following services:

• Web Service: Next.js frontend application
• API Gateway: Go service that handles routing and communication between services
• Auth Service: Handles user authentication and authorization
• Chat Service: Manages chat functionality and Gemini AI integration
• User Service: Handles user management and profiles

Below is the diagram of the application architecture:

Features

• Real-time chat functionality using Socket.IO
• Google OAuth authentication
• Conversational AI powered by Gemini 1.5 Flash
• Responsive web interface
• Chat history

Prerequisites

• Docker and Docker Compose
• Go 1.23.2 or later
• Node.js 20 or later
• PostgreSQL
• Google Cloud Platform account for Gemini AI API

Environment Setup

1. Clone the repository:

git clone https://github.com/rizalord/chatgpt-clone.git
cd chatgpt-clone

2. Configure environment variables:

• Copy .env.example to .env in each service directory
• Set up required environment variables, including:
  • Database credentials
  • Gemini API key
  • Google OAuth credentials
  • JWT secrets

Running the Application

Run The Migration

Edit the database URL in the migrate command to match your database configuration. You will need the migrate package from golang-migrate to run this command.

migrate -database "postgres://postgres@localhost:5432/chatgpt_clone?sslmode=disable" -path ./migrations up

Using Docker Compose

docker compose up -d

Using Local Development

To run the application locally without Docker, follow these steps:

# Start the gRPC services
cd services/user-service && go run cmd/worker/main.go
cd services/auth-service && go run cmd/worker/main.go
cd services/chat-service && go run cmd/worker/main.go

# Start the API Gateway
cd services/api-gateway && go run cmd/web/main.go

# Start the web frontend
cd services/web-service && npm install && npm run dev

Project Structure

├── services/
│   ├── api-gateway/      # API Gateway service
│   ├── auth-service/     # Authentication service
│   ├── chat-service/     # Chat and Gemini AI service
│   ├── user-service/     # User management service
│   └── web-service/      # Next.js frontend
├── migrations/           # Database migrations
└── docker-compose.yml    # Docker compose configuration

API Documentation

The API Gateway service exposes RESTful endpoints and WebSocket connections for:

• User authentication
• Chat management
• Message streaming

You can find the API Documentation here.

Contributing

1. Fork the repository
2. Create a new branch (git checkout -b feature/awesome-feature)
3. Commit the changes (git commit -am 'Add awesome feature')
4. Push to the branch (git push origin feature/awesome-feature)
5. Create a new Pull Request