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  # Gemma‑3n SOAP Generator Space
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  This Space uses the `google/gemma-3n-e2b-it` model to:
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- 1. Generate 100 synthetic doctor’s notes and corresponding SOAP “ground truths” on startup.
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- 2. Save `doc_notes.tsv` and `ground_truth_soap.tsv` to the workspace.
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  3. Expose a no‑op Gradio UI stub for demonstration.
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  ## SDK & Dependencies
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  Make sure you have the following installed (see `requirements.txt`):
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- - **Transformers** (from source): `git+https://github.com/huggingface/transformers.git`
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- - **BitsAndBytes** for 8‑bit quantization
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- - **Accelerate** for device mapping
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- - **Timm** (model helpers)
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- - **EasyOCR** (if using OCR features)
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- - **Gradio** for the UI
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- - **Hugging Face Hub SDK**: `huggingface_hub` to manage authentication and snapshots
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- You can install them all via:
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  ```bash
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  pip install --no-deps \
 
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+ ---
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+ title: Gemma‑3n SOAP Generator
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+ emoji: "🩺"
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+ colorFrom: "blue"
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+ colorTo: "green"
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+ sdk: gradio
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+ sdk_version: "3.44.0"
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+ app_file: app.py
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+ pinned: false
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+ ---
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+
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  # Gemma‑3n SOAP Generator Space
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  This Space uses the `google/gemma-3n-e2b-it` model to:
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+ 1. Generate 100 synthetic doctor’s notes and corresponding SOAP “ground truths” on startup.
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+ 2. Save `doc_notes.tsv` and `ground_truth_soap.tsv` to the workspace.
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  3. Expose a no‑op Gradio UI stub for demonstration.
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  ## SDK & Dependencies
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  Make sure you have the following installed (see `requirements.txt`):
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+ - **Transformers** (from source): `git+https://github.com/huggingface/transformers.git`
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+ - **BitsAndBytes** for 8‑bit quantization
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+ - **Accelerate** for device mapping
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+ - **Timm** (model helpers)
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+ - **EasyOCR** (if using OCR features)
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+ - **Gradio** for the UI
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+ - **Hugging Face Hub SDK**: `huggingface_hub`
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+ Install them all via:
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  ```bash
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  pip install --no-deps \