| # Healing Music Classifier | |
| This is a machine learning model that predicts the healing potential of music tracks. The model analyzes various audio features to determine how likely a piece of music is to have healing properties. | |
| ## Model Details | |
| - **Type**: Random Forest Classifier | |
| - **Features**: MFCC, Spectral Features, Chroma Features | |
| - **Input**: Audio file (MP3 or WAV format) | |
| - **Output**: Healing probability score (0-1) | |
| ## Usage | |
| ```python | |
| import joblib | |
| from huggingface_hub import hf_hub_download | |
| # Download model files | |
| model_path = hf_hub_download(repo_id="healing-music-classifier", filename="models/model.joblib") | |
| scaler_path = hf_hub_download(repo_id="healing-music-classifier", filename="models/scaler.joblib") | |
| # Load model and scaler | |
| model = joblib.load(model_path) | |
| scaler = joblib.load(scaler_path) | |
| # Use the model (after feature extraction) | |
| # prediction = model.predict_proba(scaled_features)[0][1] | |
| ``` | |
| ## Web Interface | |
| You can try the model directly through our Streamlit interface at: | |
| https://huggingface.co/spaces/[your-username]/healing-music-classifier | |
| ## License | |
| MIT License | |