video1.0<iframe src="https://www.loom.com/embed/78c02c8313a4401fa2a497e70330eae3" frameborder="0" width="1366" height="1024" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>10241366Loomhttps://www.loom.com10241366https://cdn.loom.com/sessions/thumbnails/78c02c8313a4401fa2a497e70330eae3-00001.gif336.66In this video, I demonstrate my entry for the Streamlit LLMocator, called Music Critic. This application addresses the critical problem of data deficiency for creatives, specifically in the music industry. It provides features such as automatic content moderation, summarization, topic detection, sentiment analysis, and entity detection using Assembly AI's APIs. Additionally, it offers content criticism and recommendations for improvement using OpenAI's LLMs. It also includes a feature for generating cover image ideas using StyleGAN models. Join me as I show you how to use Music Critic and explore its various functionalities.