https://github.com/nia3zzz/gpt-nestjs-api

This app allows users to perform prompt cycle on gpt models. It uses MongoDB as the database to store data, Nest.js for handling server-side logic and Node.js for server-side runtime environment.
https://github.com/nia3zzz/gpt-nestjs-api

chatgpt-api mongodb nestjs-backend openai-api typescript

Last synced: 14 days ago
JSON representation

This app allows users to perform prompt cycle on gpt models. It uses MongoDB as the database to store data, Nest.js for handling server-side logic and Node.js for server-side runtime environment.

• Host: GitHub
• URL: https://github.com/nia3zzz/gpt-nestjs-api
• Owner: nia3zzz
• Created: 2024-11-19T18:53:14.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2025-01-07T18:30:57.000Z (26 days ago)
• Last Synced: 2025-01-07T18:53:40.789Z (26 days ago)
• Topics: chatgpt-api, mongodb, nestjs-backend, openai-api, typescript
• Language: TypeScript
• Homepage:
• Size: 74.2 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
GPT - Nestjs - API's

This app allows users to perform prompt cycle on gpt models. It uses MongoDB as the database to store data, Nest.js for handling server-side logic and Node.js for server-side runtime environment. The app provides a seamless experience for users creating notes.

Running the Project Locally

  
To run this project on your local machine, follow these steps:

1. Clone the Repository: Clone this repository to your local machine:

   `git clone https://github.com/nia3zzz/notesapp-nestjs-apis`

2. Install Dependencies: Install the necessary dependencies using npm or yarn:

   `npm install`

   or

   `yarn install`

   or

   `pnpm install`

3. Setup Environment Variables: Create a `.env` file in the both of your project directories and add the variables mentioned in the `.env.sample`

4. Start the Development Server: Run the following command to start the development server:

   npm start

5. Access the App: Open your web browser and navigate to `http://localhost:3000[server]` You can now use the app locally on your machine, connected to your Postgres database using the URI specified in the `.env` file.