Welcome to SoundCues, your personal AI-driven music discovery assistant! Whether you're looking for bands similar to your favorites or new tracks to match your vibe, SoundCues has got you covered.
You can use the app at this link: SoundCues on Hugging Face Spaces
- Smart Music Recommendations: Get suggestions for artists, bands, or songs based on your input.
- Spotify Integration: Receive curated playlists related to your search.
- Natural Language Processing: Just type what you're looking for, and SoundCues will understand!
User: Suggest me 3 bands similar to Gorillaz
SoundCues: Sure! Here are three bands similar to Gorillaz:
- Massive Attack 🎧
- Blur 🎵
- Tame Impala 🎶
Check out this playlist: [Spotify Link]
User: Suggest me 3 tracks similar to I Bet You Look Good on the Dancefloor by Arctic Monkeys
SoundCues: Absolutely! Here are three tracks with a similar vibe:
- Last Nite - The Strokes 🎸
- Take Me Out - Franz Ferdinand 🎶
- Chelsea Dagger - The Fratellis 🔥
Check out this playlist: [Spotify Link]
SoundCues leverages the following technologies:
- Python 🐍 - Core language for development
- Hugging Face Spaces 🤗 - Hosting and deployment
- Gradio 🎛 - Interactive UI for user queries
- Spotify API 🎵 - Fetching song and artist recommendations
- Docker 🐳 - Containerized deployment for easy scalability
- Llama-3.1-8B-Instruct 🦙 - AI model used for generating recommendations
- RunPod ☁️ - Serverless hosting for AI model
This project is licensed under the Creative Commons Legal Code CC0 1.0 Universal.
For any questions, feel free to reach out at minervini.ale@gmail.com.
Enjoy your personalized music recommendations with SoundCues! 🎶🔥