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File size: 2,699 Bytes
80d8c84 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 | # ReplicaLab -- One-Minute Demo Script
Total duration: **60 seconds**
---
## Scene 1: Hook (0:00 -- 0:08)
**Visual**: Dashboard landing page with 3D molecule background and three animated characters.
**Narration / Caption**:
> "Most ML papers can't be reproduced. ReplicaLab trains an AI agent to negotiate realistic replication plans -- under real constraints."
---
## Scene 2: The Cast (0:08 -- 0:16)
**Visual**: Scroll down to "Meet the Cast" section. Hover over each tilt card to show the 3D effect.
**Narration / Caption**:
> "Three roles: Dr. Elara proposes plans. Takuma enforces GPU budgets, schedules, and resource limits. Aldric judges the result."
---
## Scene 3: Start an Episode (0:16 -- 0:24)
**Visual**: Click "Run Episode". Select ML Benchmark, Medium difficulty. Click "Start Episode".
**Narration / Caption**:
> "Each episode generates a seeded scenario. Here: replicate a ViT fine-tuning result with a limited GPU budget."
---
## Scene 4: Negotiation (0:24 -- 0:38)
**Visual**: Show the CharacterStage with Scientist and Lab Manager animated. Scroll through the negotiation log showing the proposal, feasibility report, and revised protocol.
**Narration / Caption**:
> "The Scientist proposes 5 seeds on A100s. The Lab Manager flags the budget overshoot. The Scientist revises down to 3 seeds -- staying within budget while keeping A100 for compute fidelity."
---
## Scene 5: Judge Verdict (0:38 -- 0:48)
**Visual**: Click "Step". Show the Judge appearing center-stage with gavel sound. Score card reveals total reward 8.12 with R/F/D breakdown.
**Narration / Caption**:
> "Judge Aldric scores the plan: 85% rigor, 93% feasibility, 80% fidelity. Total reward: 8.12 out of 10. The multiplicative formula means every dimension matters."
---
## Scene 6: Training Results (0:48 -- 0:56)
**Visual**: Show the Training Results panel with the before/after toggle. Click the toggle to show baseline vs. trained curves.
**Narration / Caption**:
> "After RL training with GRPO, the Scientist improves: 67% higher reward, 32% fewer rounds, and the invalid action rate drops from 15% to 4%."
---
## Scene 7: Close (0:56 -- 1:00)
**Visual**: Return to dashboard hero with all three characters. Show the HF Space URL.
**Narration / Caption**:
> "ReplicaLab. An OpenEnv world where agents learn to negotiate science."
---
## Backup Notes
- **Pre-tested seed**: Use seed `42` with `ml_benchmark` / `medium` for a reliable demo.
- **Fallback**: If the custom UI fails, navigate to `/web` on the HF Space for the OpenEnv built-in interface.
- **Audio**: The app has built-in sound effects. Keep speakers on for a richer demo, or mute if presenting in a noisy venue.
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