Upload model files and documentation

README.md

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+# 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

models/model.joblib

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models/scaler.joblib

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