Gradio is a popular open-source library for building and deploying machine learning models. A new guide outlines the workflow of creating, testing, and deploying AI applications with Gradio. The process involves wiring up components, running them in a local environment, and then deploying to a cloud platform. This allows developers to streamline their work and create more efficient workflows. --- Why it matters: This matters because it provides a clear and structured approach to building and deploying AI models, which can be especially useful for researchers and engineers who want to focus on model development rather than infrastructure setup. Source: https://huggingface.co/blog/gradio-workflow-guide