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| title: GenreClassifier | |
| emoji: 🎶 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| license: afl-3.0 | |
| This Genre Classifier is built using the [GTZAN dataset](https://www.kaggle.com/andradaolteanu/gtzan-dataset-music-genre-classification?select=Data) which consists of 10 genres. These genres are: | |
| - Blues | |
| - Classical | |
| - Country | |
| - Disco | |
| - Hiphop | |
| - Jazz | |
| - Metal | |
| - Pop | |
| - Reggae | |
| - Rock | |
| Data for each genre includes 100 30-seconds long tracks which were then used to build a LSTM model | |
| using Keras (tensorflow backend). | |
| With more data, this model could have a more robust performance but for now, | |
| it does well on GTZAN-like data. | |
| To use this model, navigate to [the app](https://huggingface.co/spaces/Enutrof/GenreClassifier) on huggingface spaces and upload a track. | |
| To view the API documentation and use it, click [this link](https://hf.space/gradioiframe/Enutrof/GenreClassifier/api). | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference | |