README.md

metadata

title: P3 Myeloma Follow-up Chatbot
emoji: 🩺
colorFrom: red
colorTo: gray
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false

P3 Myeloma – AI Follow-up Chatbot

An adaptive follow-up chatbot for the AI-Enhanced Personalized Patient Profile (P3) Myeloma intake. The participant answers the 16 Shared Decision Making questions, and the app uses Google Gemini to ask tailored follow-up questions, gently probe apparent contradictions in their preferences, and end with a priorities summary they can bring to their care team.

It does not give medical advice, diagnoses, or treatment recommendations. It only helps the patient articulate their own values and concerns.

Setup on Hugging Face Spaces

1. Create a new Space, choose Gradio as the SDK.
2. Upload app.py, requirements.txt, and this README.md.
3. Add your Gemini key as a secret:
   • Go to Settings → Variables and secrets → New secret
   • Name: GEMINI_API_KEY
   • Value: your key from https://aistudio.google.com/apikey
4. The Space will build and launch automatically.

If you do not set the secret, users can paste a key in the collapsible "Gemini API Key" field in the UI.

Model

Uses gemini-2.5-flash. To change it, edit the MODEL variable in app.py.

How it works

• The 16 yes/no answers are turned into a structured profile.
• A rule-based detect_tensions() step flags likely contradictions (for example, wanting an aggressive approach while prioritizing quality of life, or living alone with no caregiver but preferring home medications).
• Those flags are passed to Gemini, which asks one follow-up question per turn.
• After enough exchanges (capped at 8), the model returns a <<SUMMARY>> of the patient's priorities, which the app formats and displays.

Disclaimer

This tool is for informational and preparation purposes only and is not a substitute for professional medical advice. Always consult a qualified healthcare provider.