Gradio has integrated gr.Workflow, a feature that allows users to build AI pipelines as graphs of typed nodes within a drag-and-drop canvas. This tool treats the workflow graph as both an interactive interface and a REST API, enabling one-command deployment to Hugging Face Spaces.
- Users can chain models like FLUX and Qwen-Image-Edit or fan out tasks for parallel processing.
- The system supports running local GPU models via ZeroGPU alongside external Inference Providers.
- Every workflow automatically generates REST endpoints accessible via Python clients or curl.
- Developers can duplicate demo Spaces or launch workflows directly from Python code.
This approach simplifies the creation and deployment of complex AI applications by making intermediate results visible and providing immediate API access to all outputs.