Update README.md

README.md

@@ -37,7 +37,9 @@ widget:
 
 # Model description
 
-This model was created following the instructions in the following Kaggle notebook: https://www.kaggle.com/code/michalbrezk/xgboost-classifier-and-hyperparameter-tuning-85
+This model was created following the instructions in the following Kaggle notebook: 
+
+https://www.kaggle.com/code/michalbrezk/xgboost-classifier-and-hyperparameter-tuning-85
 
 The possible classified predictions are: 'Non liver patient', 'Liver patient'
 
@@ -97,34 +99,9 @@ This model follows the limitations of the Apache 2.0 license.
 
 # How to Get Started with the Model
 
+To use the AI model run the following code on Google Colab:
 
-```python
-!pip install skops
-```
-
-```python
-import pickle
-import pandas as pd
-from skops import hub_utils
-```
-
-```python
-repo_id = "gianlab/model-liver-disease-prediction"
-download_repo = "downloaded-model"
-hub_utils.download(repo_id=repo_id, dst=download_repo)```
-```
-
-```python
-pickled_model = pickle.load(open('downloaded-model/skops-xwel2v4p.pkl', 'rb'))
-
-# gender 0 = Female , gender 1 = Male
-row = {'age': 42, 'gender': 0, 'total_bilirubin':2.5, 'alkaline_phosphotase': 300, 'alamine_aminotransferase': 200, 'albumin_and_globulin_ratio' :1.2 }
-df_example = pd.DataFrame([row])
-pred=pickled_model.predict(df_example)
-print("The prediction: ",pred[0])
-
-# The prediction:  Non liver patient
-```
+https://colab.research.google.com/drive/1OKyEMTrrBqjdc9_3wgnn_ZHaRYMmr7mx?usp=sharing