This DevTalks episode focuses on building lightning-fast AI applications using Hugging Face and Gradio. The session provides an overview of how developers can use SambaNova inference directly through Hugging Face’s platform. This integration allows developers to experiment with and deploy open-source models quickly without managing separate infrastructure.
This DevTalks episode focuses on building lightning-fast AI applications using Hugging Face and Gradio with Abu Bakr, the founder of Gradio and Head of Applications at Hugging Face, as the featured speaker.
An overview of SambaNova’s role as an inference provider highlights its SN40L RDU chip for high-performance, efficient inference — and how developers can seamlessly achieve fast inference with SambaNova directly through Hugging Face’s platform. This integration allows developers to experiment with and deploy open-source models quickly without managing separate infrastructure.
Gradio is an open-source Python framework that allows developers to turn simple Python functions into full-featured web UIs, APIs, and even MCP (Model Context Protocol) servers with minimal effort. Demonstrations show how Gradio abstracts away front-end complexity, enabling ML developers to stay in Python while still producing scalable, shareable applications. Key features discussed included built-in queuing for handling high concurrency, automatic public links for demos, and the ability to expose the same app simultaneously as a UI, REST API, or MCP tool usable by LLMs and IDEs.
Another key topic is Gradio 6, the latest release, which emphasizes speed, lighter installs, and deep customizability. Updates include a faster Svelte-based front-end, significantly improved APIs with live, auto-generated documentation, streaming support for multimodal outputs, and tighter MCP integration — including support for building custom ChatGPT apps. One of the most impactful changes is the enhanced HTML component, which allows developers (or LLMs) to create fully custom UI components using basic HTML, CSS, and JavaScript — breaking Gradio’s previous “walled garden” of predefined components.