visual-ai-workflow-composer

Composes multi-step AI applications as directed acyclic graphs with the daggr Python library, wiring hosted Gradio Spaces, Hugging Face Inference Provider models and plain Python functions into one visual web workflow. Covers choosing a node kind per stage, finding and verifying real endpoints, port wiring with fan-out and fan-in, response cleanup, isolated node testing, a hot-reloading local preview, Hugging Face token setup and optional deployment to Spaces. Use when the user wants to build, chain or orchestrate a multi-step AI pipeline, connect several models or Spaces into one app, automate image, audio, video or text generation stages, or mentions daggr nodes and graphs. Not for single model calls, chat-only apps, model training, or stacks outside the Gradio and Hugging Face ecosystem.

Version

v1.0.0

Size

16 KB

Updated

2026-10-10

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