Pinterest-Clone

A clone of the Pinterest application for educational purposes

https://pinterest-clone-oct6.onrender.com/

Use the app to generate images using a web link, upload your own images, or use OpenAI’s cutting-edge image generation technology.

Getting Started

A) Local

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Prerequisite	Version
Node.js / npm (comes with Node)	~ ^18.3.0 / ~^8.19.3
Git	~ ^2
Docker Desktop (optional)	~ ^4.4.2

Installing

Create a new directory and initialize git

mkdir Pinterest-Clone
cd Pinterest-Clone
git init

Pull from github and install packages

git pull https://github.com/Dereje1/Pinterest-Clone.git

npm install

To run mongoDB locally with docker :

In the root folder run

docker-compose up mongodb

Alternatively, you can get a connection string from mongodb Atlas after setting up your own db.

create .env files

In the root of the project create a .env file with the following contents

SESSION_SECRET=<Secret for Express Session>
MONGOLAB_URI=mongodb://root:123456@localhost:27017
TWITTER_CONSUMER_KEY=< Get from Twitter Developer API >
TWITTER_CONSUMER_SECRET=< Get from Twitter Developer API >
TWITTER_CALLBACK=http://localhost:8080/auth/twitter/redirect
GOOGLE_CLIENT_ID=< Get from Google Developer API >
GOOGLE_CLIENT_SECRET=< Get from Google Developer API >
GOOGLE_CALLBACK=http://localhost:8080/auth/google/redirect
GITHUB_CLIENT_ID=< Get from Github Developer API >
GITHUB_CLIENT_SECRET=< Get from Github Developer API >
GITHUB_CALLBACK=http://localhost:8080/auth/github/redirect
AWS_ACCESS_KEY_ID=< Get from AWS >
AWS_SECRET_KEY=< Get from AWS >
S3_BUCKET_NAME=< s3 bucket name for uploaded pins>
NODE_ENV=<development|production>
DEBUG=Pinterest-Clone:server
DEBUG_COLORS=1
GOOGLE_APPLICATION_CREDENTIALS=< service account key path for cloud vision api >
OPENAI_API_KEY=<Get from openAI>

Run the development environment

npm run dev

You can now go to http://localhost:8080/ and see the project running in dev mode.

B) Docker

If you have docker installed and a .env file with contents from above, then from the root dir:

1. Build and run the images

docker-compose up

2. Go to http://localhost:8080/

• Note: MONGOLAB_URI is already incorporated in the local docker setup and is not needed for your env file if fully running with docker.

Testing

npm test

Built With

• Node.js - JavaScript runtime
• React - A JavaScript library for building user interfaces
• MongoDB - Database
• Express - Node.js web application framework
• Material UI - A library of React UI components that implements Google's Material Design.
• Google Cloud Vision API - image labeling, face and landmark detection...
• ...and more

Authors

• Dereje Getahun - Dereje Getahun

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Hat tip to anyone who's code was used