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README.md

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-# Music Recommendation System
-
-A music recommendation system built using matrix factorization and deployed on Hugging Face Spaces.
-
-## Overview
-This application provides music recommendations based on user-selected songs. It uses truncated SVD for matrix factorization to generate recommendations.
-
-## How to Use
-1. Select up to 5 songs you like from the dropdown menu
-2. Click "Get Recommendations" to see similar songs
-3. Each recommendation comes with a confidence score
-
-## Technical Details
-- Built using Python, Gradio, and scikit-learn
-- Uses TruncatedSVD for matrix factorization
-- Deployed on Hugging Face Spaces
+---
+title: Music Recommendation System
+emoji: 🎵
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: 4.19.2
+app_file: app.py
+pinned: false
+---
+
+# Music Recommendation System
+
+A music recommendation system built using matrix factorization and deployed on Hugging Face Spaces.
+
+## Overview
+This application provides music recommendations based on user-selected songs. It uses truncated SVD for matrix factorization to generate recommendations.
+
+## How to Use
+1. Select up to 5 songs you like from the dropdown menu
+2. Click "Get Recommendations" to see similar songs
+3. Each recommendation comes with a confidence score
+
+## Technical Details
+- Built using Python, Gradio, and scikit-learn
+- Uses TruncatedSVD for matrix factorization
+- Deployed on Hugging Face Spaces
+- Optimized with sparse matrices
+- Uses Gradio 4.19.2 SDK
+
+## Performance Notes
+- Initial loading takes ~90 seconds for model training
+- Subsequent recommendations are near-instantaneous
+- Optimized for both CPU and memory usage