README.md

metadata

title: MedScribe AI
emoji: 📊
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
license: mit
short_description: This Space demonstrates a Transformer-based clinical Named E

Clinical NER with Text

This Space demonstrates a Transformer-based clinical Named Entity Recognition (NER) application with a bonus multimodal audio → text pipeline.

• Text tab: Extracts biomedical entities from user-provided clinical text.
• Audio tab: Transcribes short speech using Whisper and runs the same NER on the transcript.

Disclaimer: Research/education demo only. Not a medical device and not for clinical use.

Models

• NER: d4data/biomedical-ner-all
• ASR: openai/whisper-tiny.en

Run locally

pip install -r requirements.txt
python app.py


Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference