Update app.py

app.py

@@ -490,7 +490,7 @@ if st.session_state.get('has_prediction', False):
             - **Green bars** pointing right → These factors *increase* your salary
             - **Red bars** pointing left → These factors *decrease* your salary  
             - **Longer bars** = Bigger impact on your predicted salary
-            - **Why do I see other countries/categories I didn't select?** The chart shows the top 10 most impactful features for your prediction. For categories you *didn't* select (like other countries), a negative value means "not having this characteristic decreases your salary" — in other words, if you had selected that option instead, your salary would be higher. For example, "Country: Germany = -€1,059" means being from Germany would have added €1,059 to your salary.
+            - **Why do I see other countries/categories I didn't select?** The chart shows the top 10 most impactful features for your prediction. When you see a **red bar** for a category you *didn't* select (like other countries), it means "not having this characteristic lowers your salary compared to having it." For example, if you see "Country: Germany" with a **red bar showing €1,059**, it means being from Germany would have added €1,059 to your salary compared to your current country.
             """)
 
         with col2: