metadata

title: ML Music Classifier API
emoji: 🎵
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
license: mit
app_port: 7860

ML Music Classifier API

This API predicts whether a song will be "liked" or "not liked" based on audio features using 8 different machine learning models.

Models Available

ANN (Artificial Neural Network)
KNN (K-Nearest Neighbors)
Logistic Regression
Neural Network
Naive Bayes
Random Forest
SVM (Support Vector Machine)
XGBoost

API Endpoints

POST /predict/{model_name} - Make predictions with specific model
GET /docs - API documentation

Authentication

All endpoints require an API token in the X-Token header.

Usage

curl -X POST "https://your-space-name.hf.space/predict/random_forest_model" \
     -H "X-Token: your-token-here" \
     -H "Content-Type: application/json" \
     -d '{"danceability": 0.8, "energy": 0.7, ...}'