Update app.py

app.py

@@ -39,18 +39,18 @@ title = " Illustration of Recursive feature elimination.🌲 "
 with gr.Blocks(title=title) as demo:
     gr.Markdown(f"# {title}")
     gr.Markdown(
-        " This example the feature importnace by using  Recursive feature elimination <br>"
-        " Dataset  is load_digits() which is images of size 8 X 8 hand-written digits  <br>"
-        " **Parameters** <br> <br> **Number of features to select** : Represents the features left at the end of feature selection process. <br>"
-        " **Step** : Number of feature to remove at each iteration, least important are removed. <br>"
+        "This example demonstrates recursive feature elimination. <br>"
+        "Dataset  is `load_digits()` which is images of size 8x8 images of hand-written digits.  <br>"
+        "**Parameters** <br> **Number of features to select**: Represents the features left at the end of feature selection process. <br>"
+        "**Step**: Number of feature to remove at each iteration, least important are removed. <br>"
     )
 
     gr.Markdown(
-        " Support Vector classifier is used as estimator to rank features. <br>"
+        "Support vector classifier is used as estimator to rank features. <br>"
     )
 
     gr.Markdown(
-        " **[Demo is based on sklearn docs](https://scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html)**"
+        "Demo is based on [sklearn docs](https://scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_digits.html)."
     )
     with gr.Row():
         n_features_to_select = gr.Slider(
@@ -69,7 +69,7 @@ with gr.Blocks(title=title) as demo:
     )  #
 
     gr.Markdown(
-        " Plot shows the importance of each pixel in the classification of the digits. <br>"
+        "Plot shows the importance of each pixel in the classification of the digits. <br>"
     )
 
 demo.launch()