Download scripts/demo_script.md from lablab-ai-amd-developer-hackathon/modelcourt: direct link, hf CLI and curl.
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https://huggingface.co/spaces/lablab-ai-amd-developer-hackathon/modelcourt/resolve/main/scripts/demo_script.md
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hf download hf://spaces/lablab-ai-amd-developer-hackathon/modelcourt/scripts/demo_script.md
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curl -L -o demo_script.md https://huggingface.co/spaces/lablab-ai-amd-developer-hackathon/modelcourt/resolve/main/scripts/demo_script.md
A newer version of the Gradio SDK is available: 6.30.0
Model Court Demo Video Script
0:00-0:15 Problem
High-stakes AI decisions need adversarial review. A single model gives one confident answer; Model Court produces evidence, disagreement, Dissent, and a Human Gate.
0:15-0:45 Tribunal
Open the app, choose the escalation demo, and convene court. Point to Evidence Items, Role Agent arguments, Cross-Examination, Agreement Map, Decision Ranking, and the Judge Verdict.
0:45-1:30 Outcome Coverage
Run the approval demo and denial demo. Show that the same Tribunal structure produces different ranked Verdicts from different insurance facts.
1:30-2:10 AMD/Qwen Parallel Story
Switch to AMD/Qwen Benchmark when the endpoint is available. Show first-wave Role Agent timing: Claimant Advocate, Carrier Counsel, and Risk Officer run concurrently, while Evidence Clerk, Domain Expert, Agreement Clerk, and Judge remain ordered.
2:10-2:30 Audit Trail
Open Markdown Report and Full Audit Trail JSON. Emphasize that final action requires human approval and that benchmark evidence is preserved when timing data exists.