https://github.com/kumaarbalbir/dalle
The following work is light clone representation of the OpenAI generative ai (ex-dalle) which uses openai-api to generate creative and stunning images. (Note: The used API Key limit is exceeded, for obvious reason ;) Checkout the documentation here https://dalle-documentation.netlify.app/
https://github.com/kumaarbalbir/dalle
expressjs generative-ai mongodb nodejs-server openai-api reactjs
Last synced: 7 months ago
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The following work is light clone representation of the OpenAI generative ai (ex-dalle) which uses openai-api to generate creative and stunning images. (Note: The used API Key limit is exceeded, for obvious reason ;) Checkout the documentation here https://dalle-documentation.netlify.app/
- Host: GitHub
- URL: https://github.com/kumaarbalbir/dalle
- Owner: KumaarBalbir
- Created: 2023-10-19T08:06:48.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-04T06:59:40.000Z (over 1 year ago)
- Last Synced: 2024-04-04T07:26:16.857Z (over 1 year ago)
- Topics: expressjs, generative-ai, mongodb, nodejs-server, openai-api, reactjs
- Language: JavaScript
- Homepage: https://dalle-generative-ai.netlify.app/
- Size: 491 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DALL-E Clone
## Overview
DALL-E Clone is a web application that leverages the power of the OpenAI API to generate imaginative images based on textual prompts. Users can create unique images through a user-friendly interface and share them with the community. This project is built using the MERN stack (MongoDB, Express, React, Node.js) and allows users to explore a collection of stunning and imaginative images generated by DALL-E AI.
## Features
- **Generate Images**: Create imaginative images by providing textual prompts.
- **Share with Community**: Share the generated images with the DALL-E Clone community.
- **Browse Image Collection**: Explore a collection of visually stunning images.
- **Search Functionality**: Easily find specific posts using the search feature.
- **Responsive Design**: The application is designed to work seamlessly on various devices.
## Architecture
## Installation
1. Clone the repository:
- git clone https://github.com/kumaarbalbir/dalle.git
2. Navigate to the `client` and `server` directories and install dependencies:
```bash
cd dalle/client
npm install
cd ../server
npm install
```
3. Create a `.env` file in the `server` directory with the following environment variables:
- `MONGODB_URL`: Your MongoDB connection URL.
- `OPENAI_API_KEY`: Your OpenAI API key.
- `CLOUDINARY_CLOUD_NAME`: Your Cloudinary cloud name.
- `CLOUDINARY_API_KEY`: Your Cloudinary API key.
- `CLOUDINARY_API_SECRET`: Your Cloudinary API secret.
4. Start the client and server:
- In the `client` directory:
```bash
npm run dev
```
- In the `server` directory:
```bash
npm start
```
5. Access the application in your web browser at `http://localhost:3000` or provided localhost:@port (for client and server)
## Usage
1. Visit the provided URL.
2. Generate Imaginative Images:
- Provide a prompt for generating an image.
- Click "Generate" to create the image.
- Share your imaginative creations with the community.
3. Explore the Collection:
- Browse through a collection of visually stunning images.
4. Search Posts:
- Use the search bar to find posts by name or prompt.
## Technologies Used
- MongoDB
- Express.js
- React
- Node.js
- OpenAI API
- Cloudinary
- Vite (for client development)
- Tailwind CSS
## Acknowledgments
- Special thanks to the OpenAI team for providing access to the DALL-E API.
- Thanks to the open-source community for the libraries and tools used in this project.