A newer version of the Streamlit SDK is available:
1.52.1
metadata
title: Ai Econsult Demo
emoji: 🚀
colorFrom: red
colorTo: red
sdk: streamlit
app_port: 8501
tags:
- streamlit
pinned: false
short_description: Streamlit template space
sdk_version: 1.51.0
AI‑Native E‑Consult Prototype (V1)
This Space hosts a Streamlit app for an AI‑native e‑consult workflow (PCP ↔ Specialist).
- UI: Streamlit
- AI: MedGemma‑27B‑text + optional RAG grounding
- Storage: Hugging Face Spaces persistent volume (
/data/econsult/...)
Modes available
- 🧠 Guideline‑grounded (RAG): Injects top guideline snippets into the prompt. Expects inline bracket citations
[1]..[k]plus a compact reference list. - ✨ AI‑only (post‑hoc): No in‑prompt evidence. Performs post‑hoc claim→guideline mapping and returns a compact reference list.
The previous Hybrid (AI → RAG) option has been removed (redundant for this prototype).
Hardware
- Primary: 1× L40s (works well for
google/medgemma-27b-text-it) - Optional upgrade: A100 (large)
- Budget fallback for demos: L4 with
google/medgemma-4b-it
CPU fallback is supported for resilience only and will cap tokens for responsiveness. You can disable CPU generation with
ALLOW_CPU_GENERATION=false.
Setup
- Add your Hugging Face token in Settings → Variables as
HF_TOKEN(required to pull gated models). - (Optional) Set environment variables:
ALLOW_CPU_GENERATION=true|false(default:true)FORCE_CPU_LLM=1to force CPU fallback to the 4B modelMODEL_FALLBACK_ID=google/medgemma-4b-itto override the fallback id
- Upload guideline PDFs on the “Step 1 – RAG Corpus Prep” page. Filenames should follow:
[specialty]_guideline_[condition]_year.pdf
What changed in this revision
- Removed AI triage across UI and storage. The PCP must choose a Consult specialty.
- Removed the Hybrid button on the Specialist tab.
- Added a demo‑only / de‑identified banner to all pages.
- Preserved citations from AI‑only generation (post‑hoc mapping).
- Improved guideline filename parsing to your taxonomy (
[specialty]_guideline_...). - Added a per‑specialty count widget on the RAG page.
- Cleaned up docs for native Spaces runtime. Removed the Dockerfile (not used).
Notes
- This prototype is not for clinical use. Use only de‑identified/mock data in demos.
- After you confirm stability on Spaces, we can pin dependency minor versions for reproducibility.