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Running on Zero
Running on Zero
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README.md
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Pipeline: audio file -> MedASR (transcription) -> MedGemma 4B, `google/medgemma-4b-it`
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(SOAP note) -> Gradio UI.
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Both models are gated on the Hugging Face Hub, so whichever environment runs
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this needs an HF token with access to `google/medasr` and `google/medgemma-4b-it`.
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---
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title: Chart Whisperer
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emoji: 🩺
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colorFrom: blue
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colorTo: purple
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sdk: gradio
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sdk_version: "6.20.0"
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app_file: app.py
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pinned: false
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short_description: Turns a raw clinical recording into a structured SOAP note.
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---
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# Chart Whisperer
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Pipeline: audio file -> MedASR (transcription) -> MedGemma 4B, `google/medgemma-4b-it`
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(SOAP note) -> Gradio UI.
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Doctors don't talk in bullet points. This takes a messy, real clinical
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recording and turns it into a proper SOAP note, attributed by speaker,
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without inventing anything that wasn't actually said.
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> **Not a diagnostic tool.** For demonstration/research use only — don't
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> upload real patient data.
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Both models are gated on the Hugging Face Hub, so whichever environment runs
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this needs an HF token with access to `google/medasr` and `google/medgemma-4b-it`.
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