README.md

metadata

title: TRIBE V2 — Brain Response Prediction
emoji: 🧠
colorFrom: indigo
colorTo: yellow
sdk: gradio
sdk_version: 6.11.0
python_version: '3.12'
app_file: app.py
pinned: false
license: cc-by-nc-4.0
hardware: zero-a10g

TRIBE V2 — Brain Response Prediction

Predicts fMRI brain responses to video, audio, and text using Meta's TRIBE V2 foundation model.

Features

• Text Scorer — Paste a script/hook, get brain engagement scores (~30s)
• Video Scorer — Upload a video for full multimodal analysis (~2-5 min)
• A/B Tester — Compare two text versions head-to-head
• API — Programmatic JSON access

How It Works

TRIBE V2 combines LLaMA 3.2-3B (text), V-JEPA2 (video), and Wav2Vec-BERT (audio) to predict cortical surface activations across 20,484 brain vertices. Scores are derived from region-of-interest analysis using the Destrieux atlas.

Scores

• Attention Capture — Will they stop scrolling?
• Emotional Valence — Does it trigger feelings?
• Language Processing — Is the message clear?
• Visual Imagery — Are visuals compelling?
• Viral Potential — Composite engagement score

Citation

@article{tribe2024,
  title={A Foundation Model of Vision, Audition, and Language for In-Silico Neuroscience},
  author={Meta FAIR},
  year={2024}
}