steve601/airline

AIRLINE CUSTOMER SATISFACTION

Overview

->This appliction aims at predicting whether customer of a particula airline company is satisfied after a journey with the plane.

Prerequisites

• Python 3.x
• Pip (Python package installer)
• AWS CLI
• AWS Elastic Beanstalk CLI

Installation

1. Clone the repository:

   git clone https://github.com/steve601/airline.git
   cd airline

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the dependencies:

   pip install -r requirements.txt

4. Run the application locally:

   python satisfaction.py

Access the app at http://127.0.0.1:5000.

Deployment to AWS Elastic Beanstalk

Step-by-Step Deployment

1. Initialize Elastic Beanstalk:

   eb init

   Follow the prompts to configure your application. Choose the appropriate region and platform (Python).

2. Create an Elastic Beanstalk environment:

   eb create flask-env

3. Deploy the application:

   eb deploy

4. Access the application: After deployment, access your application using the URL provided by Elastic Beanstalk.

Configuration File: .ebextensions/python.config

Ensure your configuration file is set up correctly:

option_settings:
  aws:elasticbeanstalk:container:python:
    WSGIPath: satisfaction:app