{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/67dd1db910ae424eb89e249e676bbaf0\" 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/67dd1db910ae424eb89e249e676bbaf0-f6b17965900d31f5.gif","duration":274.8381,"title":"Introducing DSL Model Framework! 🚀","description":"https://github.com/seanchatmangpt/dslmodel\n\nHey DSLModel community, it's Sean Chatman here. I'm excited to introduce you to DSL Model, a framework that revolutionizes structured text and language models. With DSL Model, you can effortlessly generate mock synthetic data using Jinja, create structured text with Pydantic 2, and automate workflows with a built-in engine. No need for external dependencies like servers or databases - it's all-in-one! Plus, every DSL model can serialize itself back to YAML for easy manipulation in a chat GPT session. Exciting features like state machines and data handlers make working with CSVs and IPython notebooks a breeze. Check it out and let me know what you think!"}