Spaces:
Runtime error
Runtime error
File size: 1,013 Bytes
27c20de 2fe3158 27c20de 4d89d39 27c20de 2fe3158 27c20de |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 |
---
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
|