move readme

README.md

@@ -1,3 +1,66 @@
+# VitalMetrics
+
+<a target="_blank" href="https://cookiecutter-data-science.drivendata.org/">
+    <img src="https://img.shields.io/badge/CCDS-Project%20template-328F97?logo=cookiecutter" />
+</a>
+
+Repository to Practicing data cleaning, transformation, and analysis techniques. Multi-Class Classification for healthcare prediction.
+
+## Project Organization
+
+```
+├── LICENSE            <- Open-source license if one is chosen
+├── Makefile           <- Makefile with convenience commands like `make data` or `make train`
+├── README.md          <- The top-level README for developers using this project.
+├── data
+│   ├── external       <- Data from third party sources.
+│   ├── interim        <- Intermediate data that has been transformed.
+│   ├── processed      <- The final, canonical data sets for modeling.
+│   └── raw            <- The original, immutable data dump.
+│
+├── docs               <- A default mkdocs project; see www.mkdocs.org for details
+│
+├── models             <- Trained and serialized models, model predictions, or model summaries
+│
+├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
+│                         the creator's initials, and a short `-` delimited description, e.g.
+│                         `1.0-jqp-initial-data-exploration`.
+│
+├── pyproject.toml     <- Project configuration file with package metadata for 
+│                         VitalMetrics and configuration for tools like black
+│
+├── references         <- Data dictionaries, manuals, and all other explanatory materials.
+│
+├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
+│   └── figures        <- Generated graphics and figures to be used in reporting
+│
+├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
+│                         generated with `pip freeze > requirements.txt`
+│
+├── setup.cfg          <- Configuration file for flake8
+│
+└── VitalMetrics   <- Source code for use in this project.
+    │
+    ├── __init__.py             <- Makes VitalMetrics a Python module
+    │
+    ├── config.py               <- Store useful variables and configuration
+    │
+    ├── dataset.py              <- Scripts to download or generate data
+    │
+    ├── features.py             <- Code to create features for modeling
+    │
+    ├── modeling                
+    │   ├── __init__.py 
+    │   ├── predict.py          <- Code to run model inference with trained models          
+    │   └── train.py            <- Code to train models
+    │
+    └── plots.py                <- Code to create visualizations
+    |
+    |__ classifier.py
+```
+
+--------
+---
 title: PENGUINS CLASSIFIER
 emoji: 📈
 colorFrom: indigo
@@ -7,3 +70,6 @@ sdk_version: 4.44.0
 app_file: app.py
 pinned: false
 license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

README_GITHUB.md

@@ -1,75 +0,0 @@
-# VitalMetrics
-
-<a target="_blank" href="https://cookiecutter-data-science.drivendata.org/">
-    <img src="https://img.shields.io/badge/CCDS-Project%20template-328F97?logo=cookiecutter" />
-</a>
-
-Repository to Practicing data cleaning, transformation, and analysis techniques. Multi-Class Classification for healthcare prediction.
-
-## Project Organization
-
-```
-├── LICENSE            <- Open-source license if one is chosen
-├── Makefile           <- Makefile with convenience commands like `make data` or `make train`
-├── README.md          <- The top-level README for developers using this project.
-├── data
-│   ├── external       <- Data from third party sources.
-│   ├── interim        <- Intermediate data that has been transformed.
-│   ├── processed      <- The final, canonical data sets for modeling.
-│   └── raw            <- The original, immutable data dump.
-│
-├── docs               <- A default mkdocs project; see www.mkdocs.org for details
-│
-├── models             <- Trained and serialized models, model predictions, or model summaries
-│
-├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
-│                         the creator's initials, and a short `-` delimited description, e.g.
-│                         `1.0-jqp-initial-data-exploration`.
-│
-├── pyproject.toml     <- Project configuration file with package metadata for 
-│                         VitalMetrics and configuration for tools like black
-│
-├── references         <- Data dictionaries, manuals, and all other explanatory materials.
-│
-├── reports            <- Generated analysis as HTML, PDF, LaTeX, etc.
-│   └── figures        <- Generated graphics and figures to be used in reporting
-│
-├── requirements.txt   <- The requirements file for reproducing the analysis environment, e.g.
-│                         generated with `pip freeze > requirements.txt`
-│
-├── setup.cfg          <- Configuration file for flake8
-│
-└── VitalMetrics   <- Source code for use in this project.
-    │
-    ├── __init__.py             <- Makes VitalMetrics a Python module
-    │
-    ├── config.py               <- Store useful variables and configuration
-    │
-    ├── dataset.py              <- Scripts to download or generate data
-    │
-    ├── features.py             <- Code to create features for modeling
-    │
-    ├── modeling                
-    │   ├── __init__.py 
-    │   ├── predict.py          <- Code to run model inference with trained models          
-    │   └── train.py            <- Code to train models
-    │
-    └── plots.py                <- Code to create visualizations
-    |
-    |__ classifier.py
-```
-
---------
----
-title: PENGUINS CLASSIFIER
-emoji: 📈
-colorFrom: indigo
-colorTo: pink
-sdk: gradio
-sdk_version: 4.44.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

README_HF.md

@@ -0,0 +1,9 @@
+title: PENGUINS CLASSIFIER
+emoji: 📈
+colorFrom: indigo
+colorTo: pink
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: apache-2.0