---
title: Sundew Diabetics
sdk: docker
colorFrom: yellow
pinned: true
---
# 🌿 Sundew Diabetes Watch (Hugging Face Space: Docker + Streamlit)

**Mission:** Low-cost, energy-aware diabetes risk monitoring for everyone — especially communities across Africa.
This app uses the *Sundew* selective-activation algorithm to run heavier models **only when needed**, saving compute and making
always-on monitoring practical on affordable hardware.

## How it works
- Upload a CSV with columns: `timestamp, glucose_mgdl, carbs_g, insulin_units, steps, hr` (optional extras allowed).
- A lightweight **risk score** runs on each event.
- **Sundew** decides when to open the gate and run a heavier model for near-term risk.
- You control the target activation rate to meet power/latency budgets.

> **Disclaimer:** Research prototype. Not medical advice.

## Developing locally
```bash
python -m venv .venv && source .venv/bin/activate  # Windows: .venv\Scripts\activate
pip install -r requirements.txt
streamlit run app.py
```

## Deploying as a Hugging Face Space (Docker)
- Create a new **Docker** Space and push these files.
- The Dockerfile exposes port 7860 and launches `streamlit run app.py`.