Update app.py

app.py

@@ -445,10 +445,12 @@ elif option == "Financial Recommender Engine":
             st.write(f"- {rec}")
     else:
         st.write("Click the 'Get Recommendations' button to receive personalized financial recommendations.")
-        
-elif option == "SML Classication":
-    st.markdown("<h2 style='text-align: center;'>Income Bracket & SHAP Analysis</h2>", unsafe_allow_html=True)
 
+elif option == "SML Classification":  # This is the section you want to display content on
+    st.markdown("<h2 style='text-align: center;'>SML Classification</h2>", unsafe_allow_html=True)
+    
+    st.write("This section allows you to predict savings behavior based on multiple variables.")
+    
     st.subheader('Enter your information')
 
     # Categorical Inputs
@@ -471,7 +473,7 @@ elif option == "SML Classication":
             'Place of living': [place_of_living],
             'Education Level': [education_level],
             'Age Group': [age_group],
-            'Income Bracket': [income_bracket]  # No longer using income_value
+            'Income Bracket': [income_bracket]
         })
         
         # Transform categorical features using the loaded OneHotEncoder
@@ -514,7 +516,4 @@ elif option == "SML Classication":
         This plot shows how each feature contributes to the predicted likelihood of saving:
         - Blue bars push the probability lower
         - Red bars push the probability higher
-        """)
-
-# Continue with other sections such as "Regional-Based Analysis", "Income-Based Analysis", etc.
-# ...
+        """)