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| 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](https://www.gradio.app/docs/gradio/workflow) demo of | |
| [Cloudflare/clef](https://huggingface.co/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()`). | |
| [Blog](https://blog.cloudflare.com/clef-decision-models) | |