Hosting models and datasets on Hugging Face Spaces with Streamlit

AI Impact Summary

Hugging Face Spaces now supports hosting interactive Streamlit apps that showcase models and datasets directly in the browser. The example demonstrates loading a Hugging Face dataset with streaming (merve/poetry) via the datasets library and building UI controls (text_area, sliders, dataframes, charts) to drive model inference. This enables rapid prototyping and shareable demos for stakeholder reviews, but teams must pin dependencies via requirements.txt and ensure environment parity between local development and Spaces; streaming large datasets impacts memory and performance and should be planned.