Update app.py

app.py

@@ -35,6 +35,38 @@ prompt = 'Plot the histogram of countries showing for each the gdp, using differ
 response = pandas_ai.run(df, prompt=prompt,
                           is_conversational_answer=False) 
 
+
+with gr.Blocks(title = heading, theme= 'snehilsanyal/scikit-learn') as demo:
+    gr.Markdown("# {}".format(heading))
+    gr.Markdown(
+        """
+        ### This demo visualizes different SVM Classifiers on a 2D projection of the Iris dataset. 
+        
+        <b>The features to be considered are:</b>\
+        \
+        
+        1. Sepal length (cm) \
+        
+        2. Sepal width (cm) \
+        
+        <b>The SVM Classifiers used for this demo are:</b>\
+        \
+        1. SVC with linear kernel \
+        
+        2. Linear SVC \
+        
+        3. SVC with RBF kernel\
+        
+        4. SVC with Polynomial (degree 3) kernel
+        """
+    )
+    gr.Markdown('**[Demo is based on this script from scikit-learn documentation](https://scikit-learn.org/stable/auto_examples/svm/plot_iris_svc.html#sphx-glr-auto-examples-svm-plot-iris-svc-py)**')
+    button = gr.Button(value = 'Visualize different SVM Classifiers on Iris Dataset')
+    button.click(plot_chey, outputs = gr.Plot())
+
+demo.launch()
+'''
+
 with gr.Blocks(title=title) as demo:
     gr.Markdown('''
             <div>
@@ -45,5 +77,5 @@ with gr.Blocks(title=title) as demo:
     
     button.click(plot_chey, outputs = gr.Plot())
 demo.launch()
-    
+'''