{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bddd8a4a6f214e3eac50fd17b82b69c1\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bddd8a4a6f214e3eac50fd17b82b69c1-da3266dce67db94b.gif","duration":301.366,"title":"RAG Song Recommendation System Demo 🎵","description":"I demo my RAG-based song recommendation system. I run a Python module with an interactive menu, then enter mood, genre, and use cases like happy pop for workout, energetic music for a party, or concrete music for a trip. It takes some time because the connection is slow, and my Gemini rate limits were expired so it froze during recording. When it works, it returns song recommendations matching my prompts. I did not request any viewer action."}