| --- |
| title: Lumi — AI Voice Companion |
| emoji: 🌸 |
| colorFrom: purple |
| colorTo: pink |
| sdk: gradio |
| sdk_version: 5.29.0 |
| app_file: app.py |
| pinned: true |
| --- |
| |
| # Lumi — AI Voice Companion for Dementia & Alzheimer's Patients |
|
|
| Fine-tuned on AMD MI300X for the AMD Developer Hackathon 2026 (Fine-Tuning Track). |
|
|
| ## What Lumi does |
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| - **Warm, patient conversation** — remembers personal details across sessions (ChromaDB) |
| - **Scam protection** — detects and deflects elder fraud attempts without alarming the patient |
| - **Voice-native** — Whisper STT → Lumi → TTS, 21ms median time-to-first-audio |
| - **Clinically safe** — avoids clinical jargon; validated against EQ-Bench emotional intelligence benchmark |
|
|
| ## Model |
|
|
| `Debdeep30/lumi-qwen3-4b-grpo` — Qwen3-4B fine-tuned via: |
| 1. **SFT** — 8,540 dementia-care conversations, 3 epochs, QLoRA r=16 |
| 2. **GRPO Phase 1** — format compliance reward (100% by step 6) |
| 3. **GRPO Phase 2** — format + length + clinical rewards |
|
|
| **EQ-Bench v2: 91.22/100** (base model: 0.00/100) |
|
|
| ## Space secrets required |
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|
| Set these in Space Settings → Variables and secrets: |
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|
| | Secret | Value | |
| |--------|-------| |
| | `VLLM_BASE_URL` | Your vLLM endpoint, e.g. `http://YOUR_IP:8000/v1` | |
| | `MODEL_NAME` | `Debdeep30/lumi-qwen3-4b-grpo` | |
| | `PATIENT_NAME` | Patient's first name | |
| | `STT_URL` | Whisper-compatible endpoint (optional) | |
| | `TTS_URL` | `/v1/audio/speech`-compatible endpoint (optional) | |
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|
