Iris Flower Prediction Streamlit App

This is an interactive Streamlit application designed to predict the species of an Iris flower based on user-provided measurements of its sepal and petal dimensions. The app utilizes a machine learning model trained on the classic Iris dataset to perform accurate species classification.

Installation

1. Clone this repository

git clone https://github.com/kachiann/Iris_streamlit.git

2. Go to folder

cd Iris_streamlit

3. Install the required packages:

pip install -r requirements.txt

Usage

Run the Streamlit app:

streamlit run app.py

The app will open in your default web browser. Add a minor update