React App with Vite

This project was bootstrapped with Vite. It is a simple setup to get started with React and Vite.

Getting Started

First, clone the repository and navigate into the project directory:

git clone <your-repository-url>
cd <your-project-name>

Go to the bubblescan directory and run the React component using below commands

cd bubblescan-client
npm install
npm install cors
npm run dev

The React component is accessible at

http://localhost:5173/

You need to run the App server i.e app.py and Mock AI server mock_ai.py simultaneously to run the app

cd ServerCode\application

Open two terminals and run the two servers using the commands below

Flask Application Setup Guide

This guide provides step-by-step instructions for setting up a Flask application within a virtual environment. This ensures that your project dependencies are managed efficiently without affecting other Python projects.

Prerequisites

Before you start, make sure you have Python installed on your system. Flask supports Python 3.6 and newer.

Step 1: Go into ServerCode folder

cd ServerCode/application

Step 2: Create the Virtual Environment

• On macOS and Linux:

python3 -m venv venv

• On Windows:

python -m venv venv

Step 3: Activate the Virtual Environment

Before you can start using the virtual environment, you need to activate it. The command varies depending on your operating system.

• On Windows:

  .\env\Scripts\activate

• On macOS and Linux:

  source venv/bin/activate

You'll know the virtual environment is activated because its name will appear at the beginning of the terminal prompt.

Step 4: Install Flask or dependencies

With the virtual environment activated, install Flask using pip:

pip install Flask

pip3 install -r requirements.txt

Step 5: Run Your Flask Application

You can run your Flask applications using the app.py and mock_ai.pyfile as your entry point:

python3 app.py
python3 mock_ai.py

Your App server Flask application will be accessible at http://127.0.0.1:5001/ and Mock AI application will be accessible at http://127.0.0.1:5002/.

Step 7: Deactivate both the Virtual Environments

When you're done working on your project, you can deactivate the virtual environments by running:

deactivate

This command will return you to your system's default Python interpreter.