Lars Masanneck commited on
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Update README.md

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@@ -3,10 +3,8 @@ title: ⌚ Withings Z-Score Normalizer
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  emoji: "📊"
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  colorFrom: blue
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  colorTo: green
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- sdk: streamlit
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- app_file: app.py
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- python_version: 3.10
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- sdk_version: 1.24.0
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  suggested_hardware: cpu-basic
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  suggested_storage: small
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  short_description: "Streamlit app to normalize Withings data"
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  This Streamlit application computes normative Z-scores and percentiles for various Withings smartwatch biomarkers by comparing user-provided values against a global normative dataset. It helps you interpret individual health metrics relative to global distributions.
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- ## 🚀 Getting Started
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-
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- 1. **Clone this Space**
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-
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- ```bash
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- git clone https://huggingface.co/spaces/<your-username>/withings-zscore-normalizer
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- cd withings-zscore-normalizer
 
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  emoji: "📊"
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  colorFrom: blue
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  colorTo: green
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+ sdk: docker
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+ app_port: 8501
 
 
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  suggested_hardware: cpu-basic
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  suggested_storage: small
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  short_description: "Streamlit app to normalize Withings data"
 
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  This Streamlit application computes normative Z-scores and percentiles for various Withings smartwatch biomarkers by comparing user-provided values against a global normative dataset. It helps you interpret individual health metrics relative to global distributions.
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