Welcome to Building Machine Learning Applications With Gradio! This project is designed to embed a machine learning file into an app for users. It's uses a previously trained Logistic Regression model for customer churn prediction.

• Installation
• Usage
• Authors
• Acknowledgement
• contact

To get started , follow these installation steps:

# setup the environment on windows by running the following code.
python -m venv venv; venv\Scripts\activate; python -m pip install -q --upgrade pip; python -m pip install -r requirements.txt  

#On Linux
python3 -m venv venv; source venv/bin/activate; python -m pip install -q --upgrade pip; python -m pip install -r requirements.txt 

The Two commands are of the same structure 1.Activate the python environment 2.Upgrade pip to it current version 3.install the requirements located in requirements.txt: You should be at the root of your env

To see how the app works, follow these instructions: 1.After setting up enviroment,activatig the environment, and installing requirments,type

py src/App.py #in the terminal

This will open the App in your browser

Sample user interface

NB: The machine learning file is stored as pipe.pkl which conatains a pipeline of data transforms up to the regression model

This project is developed and maintained by:

• Sylvester Junior Ampomah
• Jacob Jaroya 🚀
• Kinsley Yaw Asiedu ⭐️
• Felix kiprotich 💡 Feel free to reach out to us with any questions or feedback!

We would like to express our gratitude to The Azubi Africa team for their valuable contributions to this project.

For any questions, concerns, or suggestions regarding this project, please contact us at [email protected].