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| title: MindMirror Brain Service | |
| emoji: 🧠 | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: docker | |
| app_port: 7860 | |
| pinned: false | |
| # MindMirror Brain Service | |
| FastAPI sidecar for [MindMirror](https://github.com/Raghav-Chakravarthy/MindMirror) running Meta's TRIBE v2 brain encoding model. Predicts fMRI cortical surface activation (20,484 vertices) from text. | |
| ## Endpoints | |
| | Method | Path | Body | Returns | | |
| |--------|------|------|---------| | |
| | GET | `/health` | — | model status + cache count | | |
| | POST | `/predict` | `{"text": "..."}` | `{"activation": [...], "top_regions": [...]}` | | |
| | POST | `/warmup` | `{"texts": [...]}` | pre-caches predictions in background | | |
| ## First startup | |
| Model weights (~2 GB) are downloaded from `facebook/tribev2` on HuggingFace Hub on cold start. Subsequent requests use a local prediction cache. | |