544.544. Music Genre Classification

Music Genre Classification

In this problem, you will use a machine learning approach to classify music tracks into different genres. You will need to use a pre-trained model and fine-tune it on a dataset of labeled music tracks.

**Example:** Given a music track, predict its genre.

**Constraints:** The input music track is a 30-second MP3 file, and the model should output a probability distribution over 10 genres: rock, pop, jazz, classical, hip-hop, electronic, folk, country, R&B, and metal.

**Note:** You can use the Librosa library to load and preprocess the audio data, and the Scikit-learn library to build and train the model.