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A newer version of the Gradio SDK is available: 6.29.1
title: Clef Decision Workflow
emoji: 🎼
colorFrom: pink
colorTo: yellow
sdk: gradio
sdk_version: 6.29.0
app_file: app.py
short_description: Node-based workflow for typed decisions with Cloudflare Clef
python_version: '3.12'
startup_duration_timeout: 1h
license: apache-2.0
hf_oauth: true
hf_oauth_scopes:
- inference-api
- write-repos
models:
- Cloudflare/clef
Visual gr.Workflow demo of Cloudflare/clef, a 27B multimodal decision model.
The canvas wires three reference nodes — State (text or JSON), Questions (a JSON schema of
typed questions: noul = true/false, choice = named options, score = ordered levels) and an
optional Image — into a bound Python function that runs Clef in a single forward pass
(no text is generated), producing a probability for every allowed option. The results land in two
output tiles: an HTML Decision Report and the SystemOne Response JSON with the answer,
confidence and probabilities for every question.
The canvas comes pre-loaded with an image example: a food photo plus a moderation schema (what does the photo show, how appetizing is it, is it safe to publish). Clear the image node to run text-only decisions.
Hit Run to execute the pipeline. Sign in with Hugging Face to run nodes on your own
inference quota. The Space owner can edit and save the workflow graph; everyone else gets a
read-only canvas. The pipeline is also exposed through the Gradio API as /decision_report
(see the View API panel or client.view_api()).