Update README.md

README.md

@@ -37,7 +37,33 @@ It achieves the following results on the evaluation set:
 
 ## Model description
 
-More information needed
+This model was created by importing the dataset of the chest x-rays images into Google Colab from kaggle here: 
+
+https://www.kaggle.com/datasets/omkarmanohardalvi/lungs-disease-dataset-4-types . 
+
+I then used the image classification tutorial here: 
+
+https://colab.research.google.com/github/huggingface/notebooks/blob/main/examples/image_classification.ipynb 
+
+obtaining the following notebook:
+
+https://colab.research.google.com/drive/1rNKeA25BR05iMUvKFvRD8SkySBOlO4AC?usp=sharing
+
+'Viral Pneumonia', 'Corona Virus Disease', 'Normal', 'Tuberculosis', 'Bacterial Pneumonia'
+
+The possible classified data are:
+<ul>
+<li>Viral Pneumonia</li>
+<li>Corona Virus Disease</li>
+<li>Normal</li>
+<li>Tuberculosis</li>
+<li>Bacterial Pneumonia</li>
+</ul>
+
+### X-rays image example:
+
+![Screenshot](lung.png)
+
 
 ## Intended uses & limitations