Tool:Machine learning Python API for ligand-protein binding-affinity prediction

Question

[casey]

This is a ligand-protein binding-affinity prediction tool that takes in a SMILE sequence and an Amino Acid sequence and returns an integer that represents the binding-affinity. You have an option to test the model in a Google CoLab notebook with a test API key to experiment with the machine learning model endpoint on your data. This tool will mostly be helpful for Python/R devs who want to run these binding predictions for a larger number of molecules against a target protein. Here is the link to the model overview: https://model.modelforest.ai/binding-model

[ATpoint]

Is there no documentation available? I cannot see any, nor here or at the website you link.