modifying the result view

app.py

@@ -380,7 +380,7 @@ if st.button('Generate Predictions'):
             print(
                 "Sorry, Current model couldn't provide predictions on the target variable you selected.")
         else:
-            st.markdown('#### Current Character Count in Your Email is: <span style="color:blue">{}</span>'.format(
+            st.markdown('##### Current Character Count in Your Email is: <span style="color:blue">{}</span>'.format(
                 character_cnt), unsafe_allow_html=True)
             # st.info('The model predicts that it achieves a {} of {}%'.format(target, str(round(output_rate*100,2))))
             if target == 'conversion_rate':
@@ -388,7 +388,7 @@ if st.button('Generate Predictions'):
             else:
                 target_vis = 'Open_Rate'
                 
-            st.markdown('#### The model predicts that it achieves a <span style="color:blue">{}</span> of <span style="color:blue">{}</span>%'.format(
+            st.markdown('##### The model predicts that it achieves a <span style="color:blue">{}</span> of <span style="color:blue">{}</span>%'.format(
                 target_vis, str(round(output_rate*100, 3))), unsafe_allow_html=True)
             selected_industry_code = industry_code_dict.get(industry)
 
@@ -440,10 +440,10 @@ if st.button('Generate Predictions'):
             if selected_variable == "Click_Through_Rate":
                 selected_variable = "Conversion_Rate"
 
-            st.markdown('#### To get higher, <span style="color:blue">{}</span>, the model recommends the following options:'.format(
+            st.markdown('##### To get higher, <span style="color:blue">{}</span>, the model recommends the following options:'.format(
                 selected_variable), unsafe_allow_html=True)
             if len(df_reco_opt_rank) == 0:
-                st.markdown('#### You ve already achieved the highest, <span style="color:blue">{}</span>, with the current character count!'.format(
+                st.markdown('##### You ve already achieved the highest, <span style="color:blue">{}</span>, with the current character count!'.format(
                     selected_variable), unsafe_allow_html=True)
             else:
                 #for _, row in df_reco_opt_rank.iterrows():