space_README.md

metadata

title: Patient Virtuel · Français en médecine dentaire
emoji: 🦷
colorFrom: yellow
colorTo: gray
sdk: gradio
sdk_version: 6.16.0
python_version: '3.12'
app_file: src/server_app.py
pinned: false
license: apache-2.0
tags:
  - hackathon
  - build-small-hackathon
  - backyard-ai
  - voice-ai
  - french-learning
  - dental
  - gradio
  - modal
  - llama-cpp
  - gemma
  - track:backyard
  - sponsor:modal
  - achievement:offgrid
  - achievement:offbrand
  - achievement:llama
  - achievement:sharing
  - achievement:fieldnotes

Patient Virtuel · Français en médecine dentaire

A voice-based French practice tool for dental hygienists. Roleplay a 60-minute hygiene session with a virtual patient, then receive structured grammar and vocabulary feedback.

Backyard AI — built for a real learner training to improve professional French.

How it works

1. Press the mic button and speak in French to the patient
2. The patient responds naturally, using French regionalisms
3. When you say "Fin de la séance", the app switches to tutor mode
4. Receive a structured recap with corrections and explanations

Custom UI

This app uses gradio.Server with a fully custom HTML/CSS/JS frontend instead of the default Gradio component UI. The backend provides Gradio API endpoints while the frontend is a standalone vanilla HTML page using the @gradio/client JavaScript library.

Model credits

• LLM: Gemma 4 26B-A4B via Modal (L4 GPU) — Apache 2.0
• TTS: piper-tts (local, fr_FR-siwis-medium voice)
• STT: faster-whisper-large-v3-turbo via Modal (T4 GPU) — MIT

Modal

Both GPU workloads (LLM + STT) run on Modal serverless containers. See modal_app.py for the full deployment config.

Social

Demo video · LinkedIn post

License

All components are Apache 2.0 or MIT licensed.

Environment variables

Variable	Purpose
MODAL_ENDPOINT_LLM	Modal endpoint for Gemma 4 LLM
MODAL_ENDPOINT_WHISPER	Modal endpoint for Whisper STT
MODAL_AUTH_TOKEN	Shared auth token (matching Modal's EXPECTED_TOKEN)