Update app.py

app.py

@@ -61,21 +61,21 @@ with gr.Blocks(title = heading, theme= 'snehilsanyal/scikit-learn') as demo:
     gr.Markdown(
         """
         ### This demo visualizes different SVM Classifiers on a 2D projection of the Iris dataset. 
-        \
-        The features to be considered are:
-        \
-        <b>1. Sepal length (cm) </b>
-        \
-        <b>2. Sepal width (cm) </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>
-        \
+        
+        The features to be considered are:\
+        
+        <b>1. Sepal length (cm) </b>\
+        
+        <b>2. Sepal width (cm) </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>
         """
     )