---
title: Make Me
emoji: 🎭
colorFrom: red
colorTo: yellow
sdk: docker
pinned: false
app_port: 7860
hf_oauth: true
hf_oauth_expiration_minutes: 480
---

# Make Me

A Reachy Mini photobooth powered by FLUX.1-Kontext. Users sign in with HuggingFace, connect to a robot, type or speak a prompt ("turn me into a medieval king"), and the robot captures a photo that gets transformed by FLUX.1-Kontext.

## Architecture

- **Frontend**: Vanilla JS + WebRTC via `reachy-mini.js`
- **Backend**: FastAPI (Docker SDK)
- **Voice input**: Whisper-large-v3-turbo via HF Inference Providers (Groq)
- **Image transform**: FLUX.1-Kontext-Dev Gradio Space via `gradio_client`
- **Inference is paid by the Space owner** — see `HF_TOKEN` secret below

## Required Space Secret

Add these in **Settings → Variables and secrets**:

| Secret | Purpose |
|---|---|
| `HF_TOKEN` | **Required.** Your HuggingFace token with `inference-api` + `read-repos` scopes. All Whisper + FLUX calls use this token, so your HF Inference Providers credits get charged. |

Optional env vars (defaults shown):
- `TRANSFORM_DAILY_LIMIT=10` — per-user FLUX transforms per day
- `TRANSCRIBE_DAILY_LIMIT=50` — per-user voice transcriptions per day

## Local dev

```bash
export HF_TOKEN=hf_xxx
export OAUTH_CLIENT_ID=...  # optional, from HF OAuth app
pip install -r requirements.txt
uvicorn app:app --port 7860
```