Update app.py

app.py

@@ -78,6 +78,8 @@ For the first generated Gaussian, the inner half quantile is assigned to Class A
 A histogram of the decision scores of the AdaBoostClassifer is shown below. Values closer to -1 mean a high confidence that the sample belongs to Class A, and values closer to 1 mean a high confidence that the sample belongs to Class B.
 
 Use the controls below to change the Gaussian distribution parameters, number of generated samples in each Gaussian distribution, and the classifier's max_depth and n_estimators.
+
+Created by [@huabdul](https://huggingface.co/huabdul) based on [Scikit-learn docs](https://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_twoclass.html).
 '''
 with gr.Blocks(analytics_enabled=False) as demo:
     gr.Markdown(info)