Update app.py

app.py

@@ -320,18 +320,18 @@ with tab2:
     </style>
     """, unsafe_allow_html=True)
     
-    # Use completely clean approach with no custom HTML/CSS
-    st.header("About the Loan Approval System")
+    # Use regular paragraphs with bold text for titles
+    st.markdown("**About the Loan Approval System**")
     st.write("Our AI-powered system evaluates loan applications using machine learning and industry-standard criteria to analyze your financial information, credit history, and loan requirements.")
     
-    st.header("About the ML Model")
+    st.markdown("**About the ML Model**")
     st.write("""The machine learning model used here is a Decision Tree, which was the best performing model among KNN, 
     Random Forest, Logistic Regression, and Support Vector Machine models tested.
     
     The Decision Tree model was further refined using Cost Complexity Pruning (CCP) to find the optimal 
     alpha value for pruning, which helps prevent overfitting while maintaining high accuracy.""")
     
-    st.subheader("Model Performance Metrics:")
+    st.markdown("**Model Performance Metrics:**")
     st.markdown("""
     - Accuracy: 0.8361 
     - Precision: 0.8077 
@@ -343,7 +343,7 @@ with tab2:
     
     st.write("Enjoyed doing this and learned a lot! 😊")
     
-    st.header("Behind the Build")
+    st.markdown("**Behind the Build**")
     st.markdown("[Ivy Fiecas-Borjal](https://ifiecas.com/)")
     st.write("Inspired by an assessment in BCO6008 Predictive Analytics class in Victoria University (Melbourne) with Dr. Omid Ameri Sianaki")