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README.md
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- `static/assets/brain/` - Logo + example images
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- `static/assets/images/team/` - Team member photos (local)
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- `models/` - Put your trained `.h5` files here
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## Add your models
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Place these files under `models/`:
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- `resnet50.h5`
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- `resnet101.h5`
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- `efficientnetb2.h5`
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If you want different names/paths, edit `MODEL_SPECS` in `app.py`.
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## Run locally
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```bash
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pip install -r requirements.txt
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python app.py
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```
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Then open http://localhost:7860
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## API
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- `GET /api/models` -> available model IDs and names
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- `POST /api/classify` (multipart form):
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- `file`: image file
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- `model_id`: one of `atlas`, `orion`, `pulse`
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---
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title: NeuraScan
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emoji: 🧠
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colorFrom: indigo
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colorTo: blue
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sdk: docker
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pinned: false
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