# gradio Published articles for gradio. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Rebuilding AUTOMATIC1111 with Gradio Workflow DevFeed: [Rebuilding AUTOMATIC1111 with Gradio Workflow]() Original publisher: [Read original article]() Author: yuvraj sharma; Abubakar Abid Published: 2026-09-10T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI Development](), [Graphs](), [stable-diffusion](), [Inference](), [Large Language Model](), [hugging face](), [vlm]() Tags: [automatic1111](), [comfyui](), [diffusion](), [flux](), [gradio](), [hugging-face](), [image-to-image](), [image-to-video](), [inference](), [inference-providers](), [llm](), [models](), [python](), [space](), [spaces](), [text-to-image](), [vlm](), [workflow](), [workflows]() ### AI overview A walkthrough of Workflow1111, a Gradio graph that recreates AUTOMATIC1111-style media pipelines with connected operator nodes for image generation, editing, prompting, and related tasks. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Wire It, Run It, Deploy It: AI Workflows in Gradio DevFeed: [Wire It, Run It, Deploy It: AI Workflows in Gradio]() Original publisher: [Read original article]() Author: yuvraj sharma; Abubakar Abid Published: 2026-08-25T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI, ML & Data Engineering](), [AI Chat](), [GPU]() Tags: [ai](), [gpu](), [gradio](), [hugging-face](), [inference-providers](), [llm](), [models](), [python](), [rest-api](), [spaces](), [tutorial](), [workflows]() ### AI overview A tutorial on building and deploying Gradio AI workflows as typed-node graphs, with runnable examples for image editing, generation, text-to-speech, dataset analysis, REST endpoints, and GPU-backed Python nodes. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces DevFeed: [How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces]() Original publisher: [Read original article]() Author: Mishig ᠮᠢᠰᠾᠢᠭ Published: 2026-06-09T10:46:19Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [spaces](), [gradio](), [Artificial Intelligence](), [coding](), [SDKs]() Tags: [3d](), [agent](), [ai](), [building](), [coding](), [generation](), [gradio](), [hub](), [hugging-face](), [images](), [integration](), [spaces]() ### AI overview A coding agent builds a 3D gallery of Paris monuments by chaining two Hugging Face Spaces: one generates images and the other reconstructs 3D Gaussian splats. The article presents Gradio Spaces as documented, callable building blocks that agents can integrate into multimedia software pipelines. ### Source excerpt I asked a coding agent to build a beautiful website showcasing the monuments of Paris as 3D Gaussian splats. I never opened an image generator. I never touched a 3D reconstruction tool. The agent produced every asset (the images and the 3D splats) by calling two Hugging Face Spaces directly, then wired them into a cinematic viewer. ## How to build scalable web apps with OpenAI's Privacy Filter DevFeed: [How to build scalable web apps with OpenAI's Privacy Filter]() Original publisher: [Read original article]() Author: yuvraj sharma; Freddy Boulton; Abubakar Abid Published: 2026-04-27T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [privacy-filter](), [gradio](), [Web](), [Artificial Intelligence](), [OpenAI](), [Canvas]() Tags: [apache](), [artificial-intelligence](), [benchmark](), [gradio](), [html](), [openai](), [pii](), [privacy-filter](), [web-apps]() ### AI overview An article about building scalable web apps with OpenAI's Privacy Filter. It presents document, image, and text-redaction applications built with Gradio, including PII highlighting, image annotations, redaction links, custom HTML/JavaScript frontends, queued endpoints, and ZeroGPU allocation. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Any Custom Frontend with Gradio's Backend DevFeed: [Any Custom Frontend with Gradio's Backend]() Original publisher: [Read original article]() Author: yuvraj sharma; Abubakar Abid Published: 2026-04-01T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [gradio](), [Back end](), [FastAPI](), [web applications](), [Front end](), [Machine learning](), [Streaming]() Tags: [api](), [app](), [backend](), [claude](), [concurrency](), [frontend](), [gpu](), [gradio](), [html](), [open-source](), [python](), [server](), [spaces](), [vibe-coding](), [web]() ### AI overview An article introducing Gradio Server, which lets developers use custom frontends such as React, Svelte, or vanilla HTML/JavaScript while retaining Gradio's backend capabilities. It demonstrates a Text Behind Image application using a background-removal ML model, FastAPI routes, queuing, concurrency control, API access, SSE streaming, ZeroGPU, and hosting on Hugging Face Spaces. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## One-Shot Any Web App with Gradio's gr.HTML DevFeed: [One-Shot Any Web App with Gradio's gr.HTML]() Original publisher: [Read original article]() Author: yuvraj sharma; hysts; Freddy Boulton Published: 2026-02-18T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [web applications](), [modern web development](), [HTML5 and CSS3 tricks](), [React UI animations]() Tags: [3d](), [app](), [artificial-intelligence](), [claude](), [community](), [css](), [gradio](), [html](), [html5](), [javascript](), [object-detection](), [python](), [react](), [spaces](), [speech](), [three-js](), [transcription](), [vibe-coding]() ### AI overview The article shows how Gradio's gr.HTML can create interactive, single-file Python web apps without a separate frontend build step. Examples include timers, a kanban board, visual ML result viewers, 3D controls, and live speech transcription. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Daggr: Chain apps programmatically, inspect visually DevFeed: [Introducing Daggr: Chain apps programmatically, inspect visually]() Original publisher: [Read original article]() Author: merve; yuvraj sharma; Abubakar Abid; hysts; Pedro Cuenca Published: 2026-01-29T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [daggr](), [Python](), [gradio](), [Orchestration](), [Canvas](), [Persistence](), [AI Development]() Tags: [artificial-intelligence](), [code](), [daggr](), [gradio](), [orchestration](), [persistence](), [python]() ### AI overview Daggr is a Python tool for building AI application workflows by chaining models and processing steps in code, while automatically generating a visual canvas. It lets developers inspect intermediate outputs, modify inputs, rerun individual steps, use backup nodes, integrate Gradio Spaces, and persist workflow state. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Visible Watermarking with Gradio DevFeed: [Visible Watermarking with Gradio]() Original publisher: [Read original article]() Author: Margaret Mitchell Published: 2025-09-15T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [watermarking](), [gradio](), [hugging face](), [Artificial Intelligence](), [Generative AI]() Tags: [ai-content](), [ai-transparency](), [building](), [ethics](), [gradio](), [guide](), [hugging-face](), [open-source](), [text-generation](), [text-to-image](), [text-to-video](), [watermarking]() ### AI overview Hugging Face explains how Gradio can add visible watermarks to AI-generated images, video, and text in Spaces. The article highlights filename-based, open-image, NumPy-array, QR, custom text, and chatbot watermarking options to support attribution, transparency, and disclosure. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Generate Images with Claude and Hugging Face DevFeed: [Generate Images with Claude and Hugging Face]() Original publisher: [Read original article]() Author: shaun smith Published: 2025-08-19T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [Claude](), [hugging face](), [Model Context Protocol](), [MCP Server](), [Artificial Intelligence](), [gradio](), [flux](), [Image](), [qwen](), [spaces]() Tags: [anthropic](), [applications](), [article](), [artificial-intelligence](), [blog](), [claude](), [flux](), [generation](), [gradio](), [how-to](), [hugging-face](), [image](), [images](), [llm](), [mcp](), [mcp-server](), [models](), [qwen](), [spaces](), [text-to-image](), [tools]() ### AI overview This tutorial explains how to connect Claude to Hugging Face Spaces through the Hugging Face MCP Server to generate detailed images with AI models. It highlights prompt assistance, visual iteration, model selection, and examples including FLUX.1 Krea [dev] and Qwen-Image. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio DevFeed: [Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio]() Original publisher: [Read original article]() Author: Freddy Boulton Published: 2025-07-31T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI Chat](), [web applications]() Tags: [artificial-intelligence](), [community](), [diffusion](), [gradio](), [llm](), [mcp](), [mcp-server](), [open-source](), [python](), [vs-code]() ### AI overview A tutorial for building a Python Gradio MCP server that lets an LLM-powered shopping assistant invoke the IDM-VTON virtual try-on model through VS Code AI Chat. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face DevFeed: [Introducing Trackio: A Lightweight Experiment Tracking Library from Hugging Face]() Original publisher: [Read original article]() Author: Abubakar Abid; Zach Nation; Nouamane Tazi; Sasha Luccioni; Quentin Gallouédec Published: 2025-07-29T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [hugging face](), [Open Source](), [Python](), [gradio](), [spaces](), [dashboards](), [Machine learning]() Tags: [analysis](), [apis](), [artificial-intelligence](), [blog](), [data](), [gpu](), [gradio](), [hugging-face](), [library](), [machine-learning](), [metrics](), [model](), [open](), [open-source](), [performance](), [python](), [research](), [science](), [spaces](), [tools](), [training]() ### AI overview Hugging Face introduces Trackio, an open-source Python library for lightweight experiment tracking. It records machine learning metrics, parameters, hyperparameters, tensors, and GPU energy usage, then visualizes the results through a local Gradio dashboard that can be synchronized to Hugging Face Spaces for sharing. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Consilium: When Multiple LLMs Collaborate DevFeed: [Consilium: When Multiple LLMs Collaborate]() Original publisher: [Read original article]() Author: Andreas Published: 2025-07-17T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [LLMs](), [Model Context Protocol](), [gradio](), [Hackathon](), [Artificial Intelligence](), [hugging face]() Tags: [ai](), [artificial-intelligence](), [gradio](), [hackathon](), [hugging-face](), [llms](), [mcp](), [mcp-server](), [multi-agents]() ### AI overview Consilium is a platform in which multiple LLMs discuss questions and use consensus, majority voting, or ranked choice to produce answers. It is available as a visual Gradio interface and an MCP server, with a poker-style roundtable component designed to show the models' responses, thinking status, and research activities. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Five Big Improvements to Gradio MCP Servers DevFeed: [Five Big Improvements to Gradio MCP Servers]() Original publisher: [Read original article]() Author: Freddy Boulton Published: 2025-07-17T00:00:00Z Content type: release Language: en Sources: [Hugging Face - Blog]() Topics: [gradio](), [MCP Server](), [OpenAPI Specification](), [API](), [Large Language Model](), [Authentication]() Tags: [authentication](), [community](), [gradio](), [improvements](), [llm-agents](), [mcp](), [mcp-server](), [open-source](), [openapi](), [real-time]() ### AI overview The article presents five improvements to Gradio MCP servers in version 5.38.0. Updates include a File Upload MCP server for remote file inputs, real-time progress notifications, automatic conversion of OpenAPI schemas into Gradio applications and MCP servers, and support for passing authentication headers to MCP tools. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Building the Hugging Face MCP Server DevFeed: [Building the Hugging Face MCP Server]() Original publisher: [Read original article]() Author: shaun smith; Julien Chaumond; Eliott Coyac; Abubakar Abid Published: 2025-07-10T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Model Context Protocol (MCP)](), [MCP Server](), [hugging face](), [AI Development](), [Open Source]() Tags: [artificial-intelligence](), [authorization](), [community](), [deployment](), [gradio](), [hugging-face](), [mcp](), [mcp-server](), [multimodal](), [open-source]() ### AI overview Hugging Face describes the development of its official MCP Server for accessing the Hub and AI applications on Spaces. The article focuses on customization, remote access through a simple URL, transport choices, production deployment, authorization, and client compatibility as the Model Context Protocol evolves. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Upskill your LLMs With Gradio MCP Servers DevFeed: [Upskill your LLMs With Gradio MCP Servers]() Original publisher: [Read original article]() Author: Freddy Boulton Published: 2025-07-09T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Model Context Protocol (MCP)](), [MCP Server](), [gradio](), [LLMs](), [spaces](), [hugging face](), [flux](), [Python](), [cursor]() Tags: [artificial-intelligence](), [claude](), [cursor](), [flux](), [follow](), [gradio](), [hugging-face](), [llm](), [llms](), [mcp](), [open-source](), [python](), [spaces]() ### AI overview This article explains how Gradio applications hosted on Hugging Face Spaces can expose tools through the Model Context Protocol (MCP), allowing LLM clients such as Cursor and Claude Code to use new capabilities. It demonstrates connecting Flux.1 Kontext[dev] as an MCP server for text-guided image editing. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Tiny Agents in Python: a MCP-powered agent in ~70 lines of code DevFeed: [Tiny Agents in Python: a MCP-powered agent in ~70 lines of code]() Original publisher: [Read original article]() Author: Célina Hanouti; Julien Chaumond; Lucain Pouget; shaun smith Published: 2025-05-23T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [Model Context Protocol (MCP)](), [Python](), [MCP Server](), [Large Language Model](), [hugging face](), [AI Development](), [Playwright](), [gradio]() Tags: [agent](), [agents](), [apis](), [artificial-intelligence](), [browser](), [cli](), [gradio](), [hub](), [hugging-face](), [inference](), [large-language-models-llms](), [mcp](), [mcp-server](), [python]() ### AI overview This tutorial introduces tiny-agents, a Python implementation of the Tiny Agents idea that extends a client SDK with MCP client capabilities. It explains how to connect agents to MCP servers, load configurations from the Hugging Face Hub or local paths, and use tools through CLI-driven agents. Examples demonstrate browser automation with Playwright, web search, inference-provider discovery, and image generation through Gradio Spaces. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How to Build an MCP Server with Gradio DevFeed: [How to Build an MCP Server with Gradio]() Original publisher: [Read original article]() Author: Abubakar Abid; yuvraj sharma Published: 2025-04-30T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [MSP MCP](), [Language models](), [cursor](), [Node.js]() Tags: [api](), [cursor](), [gradio](), [how-to](), [llm](), [mcp](), [mcp-server](), [node-js](), [python](), [tool]() ### AI overview A tutorial on turning a Gradio Python app into a Model Context Protocol server so LLM clients can call Python functions as tools. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How Gradio Connects Machine Learning UIs and APIs DevFeed: [How Gradio Connects Machine Learning UIs and APIs]() Original publisher: [Read original article]() Author: yuvraj sharma; Abubakar Abid Published: 2025-04-16T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [gradio](), [Framework](), [AI Development](), [API](), [SDKs](), [Server-side rendering]() Tags: [api](), [development](), [framework](), [gradio](), [production](), [python](), [rest-api](), [sdks](), [server-side-rendering](), [tooling](), [ui-framework]() ### AI overview This article explains how Gradio supports machine learning applications through interactive UIs and APIs. It describes automatic REST API and documentation generation, Python and JavaScript client libraries, cURL access, the API Recorder, and server-side rendering introduced in Gradio 5.0. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Journey to 1 Million Gradio Users! DevFeed: [Journey to 1 Million Gradio Users!]() Original publisher: [Read original article]() Author: Abubakar Abid Published: 2025-04-04T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [gradio](), [Open Source](), [AI Development](), [web applications]() Tags: [artificial-intelligence](), [community](), [computer-vision](), [gradio](), [open-source](), [web-app]() ### AI overview Gradio grew from a simple Python library for demonstrating computer vision models into a platform used by more than one million developers monthly to build and share AI web apps. The article presents lessons from that growth, including investing in low-level primitives, embedding virality, focusing on a growing niche, iterating rapidly, and expanding how users consume library outputs. It also explains how Gradio Blocks supports modular applications, workflows, chatbots, and streaming applications. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Introducing Gradio's new Dataframe! DevFeed: [Introducing Gradio's new Dataframe!]() Original publisher: [Read original article]() Author: hannah; Abubakar Abid Published: 2025-03-24T00:00:00Z Content type: release Language: en Sources: [Hugging Face - Blog]() Topics: [User interface design]() Tags: [accessibility](), [data](), [gradio](), [guide](), [open-source](), [release](), [updates]() ### AI overview Gradio announces an updated Dataframe component with multi-cell editing, copying, row numbers, fullscreen viewing, keyboard navigation, styling, search, filtering, and column editability controls. The release also emphasizes accessibility, data interaction, and performance refinements. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## FastRTC: The Real-Time Communication Library for Python DevFeed: [FastRTC: The Real-Time Communication Library for Python]() Original publisher: [Read original article]() Author: Freddy Boulton; Abubakar Abid Published: 2025-02-25T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [FastAPI](), [Python](), [real-time](), [AI Development](), [WebRTC](), [WebSocket](), [gradio](), [Large Language Model]() Tags: [apis](), [artificial-intelligence](), [audio](), [gradio](), [llm](), [python](), [real-time](), [speech](), [text-to-speech](), [video](), [voice](), [webrtc](), [websocket]() ### AI overview FastRTC is introduced as a Python library for building real-time audio and video AI applications. The article demonstrates core features including voice detection and turn taking, a WebRTC-enabled Gradio interface, phone access, WebRTC and WebSocket support, FastAPI integration, and speech-to-text and text-to-speech utilities. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Timm ❤ Transformers: Use any timm model with transformers DevFeed: [Timm ❤ Transformers: Use any timm model with transformers]() Original publisher: [Read original article]() Author: Aritra Roy Gosthipaty; Ross Wightman; Pavel Iakubovskii; Pedro Cuenca; Vaibhav Srivastav Published: 2025-01-16T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [AI, ML & Data Engineering](), [object-detection](), [web applications]() Tags: [api](), [classification](), [community](), [computer-vision](), [cv](), [fine-tuning](), [gradio](), [integration](), [pytorch](), [quantization](), [timm](), [transformers]() ### AI overview A tutorial on integrating timm computer-vision models with Transformers for pipelines, quantization, fine-tuning, and inference, including an image-classification app example. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs DevFeed: [How good are LLMs at fixing their mistakes? A chatbot arena experiment with Keras and TPUs]() Original publisher: [Read original article]() Author: Martin Görner Published: 2024-12-05T00:00:00Z Content type: opinion Language: en Sources: [Hugging Face - Blog]() Topics: [Large Language Model](), [Chat Bot](), [gradio]() Tags: [chatbots](), [gradio](), [hallucinations](), [keras](), [llm](), [llms](), [open-source](), [spaces](), [tpu]() ### AI overview The author describes a small experiment testing whether LLMs can correct code-generation mistakes after receiving feedback in plain English. The setup uses a mobile-assistant prompt that requires single-line executable Python API calls and compares conversations with multiple chatbots in a Gradio interface. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## A Security Review of Gradio 5 DevFeed: [A Security Review of Gradio 5]() Original publisher: [Read original article]() Author: Abubakar Abid; Pete Published: 2024-10-10T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [gradio](), [Security](), [Application Security](), [Vulnerabilities](), [web applications](), [Open Source]() Tags: [application-security](), [cybersecurity](), [developer](), [gradio](), [open-source](), [security](), [spaces](), [supply-chain](), [vulnerabilities](), [web-applications]() ### AI overview This article describes Gradio 5's security review by Trail of Bits. It explains that an independent audit identified risks in locally run apps, deployed apps, built-in share links, and the Gradio CI pipeline, and that the issues were fixed before the release. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. [Next page]()