A Streamlit-based web app that generates personalized Spotify playlists based on user-selected mood, genre, or a base song. The app uses the Spotify API to fetch song data, calculates cosine similarity for recommendations, and allows users to preview songs directly in the app.
- Mood-Based Playlists: Select a mood (e.g., Happy, Sad, Energetic) to generate a playlist.
- Genre-Based Playlists: Choose from a variety of genres (e.g., Pop, Rock, Jazz, Deep House).
- Base Song Recommendations: Enter a base song, and the app will recommend similar tracks using cosine similarity.
- Embedded Spotify Player: Preview recommended songs directly in the app.
- Download Playlist: Save the generated playlist as a CSV file.
- Python: Primary programming language.
- Streamlit: For building the web app interface.
- Spotify API: To fetch song data and generate recommendations.
- Spotipy: A lightweight Python library for the Spotify Web API.
- Scikit-learn: For calculating cosine similarity between songs.
- Pandas: For data manipulation and saving playlists as CSV files.
Before running the app, ensure you have the following:
-
Spotify Developer Account:
- Create an account on the Spotify Developer Dashboard.
- Register a new app to get your
Client IDandClient Secret.
-
Python 3.8+: Ensure Python is installed on your system.
-
Required Libraries: Install the required Python libraries using the following command:
pip install streamlit spotipy pandas scikit-learn