Telco Customer Churn App with Gradio

Processes taken in building my Gradio App

The processes are similar to that of Streamlit in my previous article. 

1. Exporting Machine Learning(ML) items
2. Setting up environment
3. Importing Machine Learning items from local PC
4. Building the app Interface
5. Setting up the backend to process inputs and display outputs
6. Deployment

Installation

You have two ways in order to setup and run this project.

Manual Setup

For manual installation, you need to have Python3 on your system. Then you can clone this repo and being at the repo's root :: friendly_web_interface_for_ML_models> ... follow the steps below:

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
NB: For MacOs users, please install Xcode if you have an issue.