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- # Pneumonia Detection — Streamlit App
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-
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- ## Place model
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- Copy your model file into this folder as `Model2_exact_serialized.keras` (or edit `MODEL_FILENAME` inside streamlit_app.py).
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-
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- ## Run locally
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- 1. pip install -r requirements.txt
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- 2. streamlit run streamlit_app.py
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- 3. Open http://localhost:8501
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-
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- ## Docker
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- docker build -t pneumonia-streamlit .
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- docker run -p 8501:8501 pneumonia-streamlit
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-
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- ## Notes
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- - DICOMs may contain PHI. Do not store/share patient-identifying DICOM metadata.
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- - If your DICOMs are compressed, the pylibjpeg plugins in requirements help decode them.
 
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+ ---
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+ title: Pneumonia Detection App
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+ emoji: 🫁
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+ colorFrom: purple
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+ colorTo: indigo
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+ sdk: streamlit
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+ app_file: streamlit_app.py
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+ pinned: false
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+ ---