Front-End Tool

[JGarciaCondado]

Developing a front-end interface for AgeML can make the package more user-friendly and accesible to a wider audience.

This front-end interface should be able to run the four current different functionalities of AgeML. It must have functionality to load the data and select the required and optional parameters for each of the commands.

Suggested frameworks for this front-end are:
Dash - https://dash.plotly.com/
Streamlit - https://streamlit.io/

The simulated toy-data set should be pre-loaded in the front-end so that users can click a button and see the expected results from the tool.