This article is focused more on the deployment part, so the actual processing part is skipped here. The dataset is available on Kaggle: Classify Song Genres from Audio Data. Primarily, the dataset comprises a JSON file comprising technical aspects of a song such as a tempo, valence, energy, and a CSV file with other metadata.

The dataset for which we will build the model and deploying it is a music dataset. Where the website deployment requires a lot of extra effort to set up the front-end, android apps seems a reasonable solution, and that too when the app is built in Python! In this article, I will walk you through building apps using Python, which will be a cross-platform application, meaning it can be converted into android apps and IOS too. In most cases, the model is deployed via the web interfaces, android apps, or IoT. But no Luck till now.After working on the model building, the next step in the machine learning life cycle is usually the deployment in the real-world scenario to perform actionable tasks. I have tried to find answers on different places and guides too. I have tried Chaquopy and also Python Community Plugin. I am trying to add python in android studio. Also I want to know how can I send variables for my MainActivity to python and viceversa. when I try to write code in python is tells that 'no python interpreter configured for the module' I have added Chaquopy and Python Community Plugin. My MainActivity is in Java and a directory is created for python code. I am trying to se python in android studio as a backend code for working on variables and producing answer.

Android studio python