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| title: MedScribe AI | |
| emoji: π | |
| 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 β 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 | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |