daggr is a Python library for building AI workflows that connect Gradio apps, ML models (through Hugging Face Inference Providers), and custom Python functions. It automatically generates a visual canvas for your workflow allowing you to inspect intermediate outputs, rerun any step any number of times, and preserves state for complex or long-running workflows.
This article details five major updates to Gradio MCP servers, including seamless local file support, real-time progress notifications, OpenAPI spec to MCP conversion, improvements to authentication, and modifying tool descriptions. It highlights how these improvements enhance the development and hosting of AI-powered MCP servers on Hugging Face Spaces.
Leveraging MCP for automating your daily routine. This article explores the Model Context Protocol (MCP) and demonstrates how to build a toolkit for analysts using it, including creating a local MCP server with useful tools and integrating it with AI tools like Claude Desktop.
An article providing a detailed guide on how to set up and build basic workflows in ComfyUI, a node-based Gradio GUI for generative models, including installation, core nodes understanding, and tips for image generation.
open-source LLM tools offer transparency, flexibility, cost-effectiveness, and heightened data security.
Learn how to build an application that might inspire your next road trip
