Docker Flask Regression Plot App

Overview

This project is a Flask web application that generates a regression plot using data from a CSV file. The application is containerized using Docker, making it easy to deploy and run in any environment.

Features

• Interactive regression plot generated using Seaborn.
• Dockerized for easy deployment.
• Simple REST API to retrieve the plot.

Technologies Used

• Flask: A lightweight WSGI web application framework.
• Seaborn: A Python data visualization library based on Matplotlib.
• Pandas: A data manipulation and analysis library.
• Docker: A platform for developing, shipping, and running applications in containers.

Installation

Prerequisites

• Docker installed on your machine.
• Basic knowledge of Python and Flask.

Clone the Repository

  git clone https://github.com/hemangsengar/Docker-Flask-Regression-Plot-App.git
  cd Docker-Flask-Regression-Plot-App

Build the Docker Image

docker build -t flask-regression-plot .

Run the Docker Container

docker run -p 5000:5000 flask-regression-plot