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Spotify Playlist Generator 🎵

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.

Features ✨

  • 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.

Tech Stack 🛠️

  • 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.

Prerequisites 📋

Before running the app, ensure you have the following:

  1. Spotify Developer Account:

  2. Python 3.8+: Ensure Python is installed on your system.

  3. Required Libraries: Install the required Python libraries using the following command:

    pip install streamlit spotipy pandas scikit-learn