Chat APP

This project introduces a chat functionality that supports multiple mediums. The app facilitates chat via WhatsApp using the WhatsApp Cloud API and enables bidirectional communication through Centrifugo. It also features AI-assisted messaging.

Components

1. Backend: The backend component comprises APIs responsible for managing chat-related functionalities.

2. chatbot-context: For generating AI responses using a trained model, with the ability to upload a data source.

3. Authentication Shield: Ensures secure access to the chat app system by implementing robust authentication mechanisms to protect sensitive user data and system functionalities.

Prerequisites

Before getting started, ensure the following prerequisites are met:

• Docker installed on your machine

Getting Started

1. Clone Repository: Begin by cloning the repository to your local machine.

2. Install centrifugo: Execute the following command in your project root directory.

  curl -sSLf https://centrifugal.dev/install.sh | sh

3. Generate config files : Execute the following command in your project root directory. Afterward, customize the configuration according to your preferences.

   ./centrifugo genconfig

4. Replace Meta credentials : Replace the placeholder credentials with your actual Meta credentials in the project table within the provided seed file located in the backend -> shared-> prisma -> seeder folder.

import { PrismaClient } from '@prisma/client'

async function addProject(prisma: PrismaClient): Promise<void> {
  await prisma.projects.create({
    data: {
      id: "1",
      name: 'Sample project',
      webhook_url: 'YOUR_WEBHOOK_URL',
      channel_name: 'YOUR_CENTRIFUGO_CHANNEL_NAME',
      whatsapp_business_id: 'YOUR_BUSINESS_ID',
      whatsapp_phone_number_id: 'YOUR_PHONE_NUMBER_ID',
      whatsapp_business_token: 'YOUR_BUSINESS_TOKEN',
      webhook_verify_token: 'YOUR_WEHOOK_VERIFY_TOKEN',
    },
  })
}

export default addProject

5. Add ENV : Add env files in the backend and shield folders. You can find sample in sample.env.function and sample.env, which indicate where they are required.

6. Build Docker Compose: Execute the following commands in your terminal:

   docker compose build

7. Start the Project: Once the build process is complete, start the project with:

   docker compose up

License

This project is licensed under the MIT License.