Use Cases
- Tagging music playlists based on mood for streaming services
- Enhancing user engagement through personalized playlist recommendations
- Automating the mood analysis process for music curators
- Improving marketing strategies by understanding listener preferences
How It Works
Receives music playlist data via a webhook Splits the playlist content into smaller chunks for processing Generates embeddings using OpenAI's AI models Stores embeddings in a Redis database for quick access Queries the database to retrieve mood tags for playlists Logs the results in Google Sheets for tracking and analysis
Setup Steps
- 1Import the Music Playlist Mood Tagger workflow template
- 2Configure the webhook to receive music playlist data
- 3Set up OpenAI credentials for embedding generation
- 4Connect Redis for storing and querying mood tags
- 5Link Google Sheets for logging results
Apps Used
OpenAI
Redis
Google Sheets
Categories
Target Roles
Tags
#ai content generation
#text processing
#workflow management