GenreM is a music classifier that can classify music files into two classes: Metal and Classical. It uses Logistic Regression and octave's fminunc function for the binary classification. Support for other classes will be added soon. There is a webapp in flask as a demo of GenreM. This app uses the GTZAN dataset for training of the Logistic Regression Algorithm.