Update app.py

app.py

@@ -94,7 +94,7 @@ This app plots the decision surface of four classifiers on two selected features
 
 Use the controls below to tune the parameters of the classifiers and the weights of each of them in the soft voting classifier and click submit. The more weight you assign to a classifier, the more importance will be assigned to its predictions compared to the other classifiers in the vote.
 
-Created by [@huabdul]() based on [scikit-learn docs]().
+Created by [@huabdul](https://huggingface.co/huabdul) based on [scikit-learn docs](https://scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html).
 '''
 
 with gr.Blocks(analytics_enabled=False) as demo:
@@ -121,9 +121,7 @@ with gr.Blocks(analytics_enabled=False) as demo:
             plot = gr.Plot(show_label=False)
 
     btn.click(create_plot, inputs=[dd, slider_max_depth, slider_n_neighbors, slider_gamma, slider_w1, slider_w2, slider_w3], outputs=[plot])
-
     demo.load(create_plot, inputs=[dd, slider_max_depth, slider_n_neighbors, slider_gamma, slider_w1, slider_w2, slider_w3], outputs=[plot])
 
-
 demo.launch()
 #==================================================