Update app.py

app.py

@@ -31,22 +31,19 @@ with tab2:
         st.table(selected_country.reset_index(drop=True))
 
 with tab3:
-    # Show sidebar elements only when in the Rankings tab
-    with st.sidebar:
-        metric = st.selectbox('Select a metric for ranking:',
-                              ['scores_teaching', 'scores_research', 'scores_citations'])
-        num_results = st.slider('Number of results to display:', min_value=5, max_value=50, value=10)
-
+    metric = st.selectbox('Select a metric for ranking:',
+                          ['scores_teaching', 'scores_research', 'scores_citations'], key='metric_select')
+    num_results = st.slider('Number of results to display:', min_value=5, max_value=50, value=10, key='num_results_slider')
+    
     ranking_df = df.sort_values(by=metric, ascending=False)[['name', 'location', metric]].head(num_results)
     st.write(f"Top {num_results} Universities by {metric.replace('scores_', '').title()}:")
     st.table(ranking_df)
 
-    # Calculate country distribution and show in sidebar
+    # Calculate country distribution and show it within the rankings tab, not sidebar
     country_count = ranking_df['location'].value_counts()
-    with st.sidebar:
-        st.header('Country Distribution')
-        for country, count in country_count.items():
-            st.write(f"{country}: {count}")
+    st.subheader('Country Distribution')
+    for country, count in country_count.items():
+        st.write(f"{country}: {count}")
 
 with tab4:
     # Calculate the average score for each university