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--- |
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title: Music Genre Classification Test |
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emoji: 🏃 |
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colorFrom: purple |
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colorTo: indigo |
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sdk: gradio |
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sdk_version: 5.22.0 |
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app_file: app.py |
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pinned: false |
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hf_oauth: true |
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hf_oauth_scopes: |
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- inference-api |
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--- |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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1. My project proposal is to make that AI can detect music genre |
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2. Add network architecture. The input of the model is a file or a live recording of audio and the output is a classification on one of the 10 genres. The model uses a The model is big and has 94.6M paramaters and was trained on a GTZAN database from kaggle that has 10 genres with 100 audio files in each genre and each audio clip around 30 seconds long. |
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3. |
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4. e |
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5. The model is working for me as it is accuratly predicting data. |
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