Customer Churn Prediction App with Gradio

Summary

Project Description

This project involves building a customer churn prediction app with Gradio. The app uses a trained machine learning model to predict the likelihood of a customer churning based on their input data.

How the app works

• The app takes custoner data from users

• The app then prepare and preprocess the data using functions and pipelines

• The app then predict the liklihood of a customer churning by assigning probabilities to Yes and No.

• The app uses the streamlit metric property to display the sale.

  Setup

  Setup To set up the project locally, follow these steps:

• Clone the repository using:

  git clone https://github.com/Bright136/Customer-Churn-Prediction-App-with-Gradio.git

OR

You can download the code

At the root repository

root :: Churn-Prediction-App-with-Gradio> ...

Do:

• Windows:

  python -m venv venv; venv\Scripts\activate; python -m pip install -q --upgrade pip; python -m pip install -qr requirements.txt  

• Linux & MacOs:

  python3 -m venv venv; source venv/bin/activate; python -m pip install -q --upgrade pip; python -m pip install -qr requirements.txt

App Execution

To execute the app, follow these steps: After all requirement have been install

At the root of your repository in your terminal run the command: gradio .src\app\app.py'

Photos of the Gradio App

Author