/Flask-Iris-predictor-Web-App

Primary LanguageHTML

Iris Species Prediction Web App

Flask web app which predicts the species of Iris flower.

Introduction

It uses Gaussian Nb classifier

These models have been trained on my local machine and saved using pickle library in Python. Then the saved models are called using Flask.

BulmaCSS is used for the frontend.

Requirements

  1. flask
  2. scikit-learn
  3. pandas
  4. numpy

Instructions

To run the app locally, enter these commands in your terminal:

git clone https://github.com/devdattakhoche/Flask-Iris-predictor-Web-App

This downloads the repository from Github to your local machine

cd IrisPredictorWebApp

Change your current working directory to this

pip install requirements.txt

Install the required libraries

python app.py

Run the app and predict away! :)