Update app.py

app.py

@@ -60,23 +60,22 @@ 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. 
-        
+        ### This demo visualizes different SVM Classifiers on a 2D projection of the Iris dataset. 
+        \
         The features to be considered are:
-
+        \
         <b>1. Sepal length </b>
-        
+        \
         <b>2. Sepal width </b>
-        
+        \
         The SVM Classifiers used for this demo are:
-        
+        \
         <b>1. SVC with linear kernel </b>
-        
+        \
         <b>2. Linear SVC </b>
-        
+        \
         <b>3. SVC with RBF kernel</b>
-        
+        \
         <b>4. SVC with Polynomial (degree 3) kernel</b>
         """
     )