Update app.py

app.py

@@ -280,8 +280,8 @@ with st.sidebar:
     
     # Create tabs for Spaces and Models rankings - ONLY SHOWING FIRST TWO TABS
     tab1, tab2 = st.tabs([
-        "SPACES TOP 30", 
-        "SPACES TOP 100"
+        "Top 100 Overall Contributors", 
+        "Top 100 by Spaces & Models"
     ])
     
     with tab1:
@@ -324,7 +324,7 @@ with st.sidebar:
     
     with tab2:
         # Show trending accounts list by Spaces
-        st.subheader("🚀 Top 100 by Spaces")
+        st.subheader("🚀 Top 100 by Spaces & Models")
         
         # Display the top 100 accounts list
         st.markdown("### Spaces Contributors Ranking")
@@ -361,6 +361,42 @@ with st.sidebar:
                 ax.set_xlabel("Number of Spaces")
                 plt.tight_layout()
                 st.pyplot(fig)
+        
+        # Display the top 100 Models accounts list (ADDED SECTION)
+        st.markdown("### Models Contributors Ranking")
+        
+        # Create a data frame for the Models table
+        if top_owners_models:
+            ranking_data_models = pd.DataFrame(top_owners_models[:100], columns=["Contributor", "Models Count"])
+            ranking_data_models.index = ranking_data_models.index + 1  # Start index from 1 for ranking
+            
+            st.dataframe(
+                ranking_data_models,
+                column_config={
+                    "Contributor": st.column_config.TextColumn("Contributor"),
+                    "Models Count": st.column_config.NumberColumn("Models Count (based on top 500 models)", format="%d")
+                },
+                use_container_width=True,
+                hide_index=False
+            )
+        
+        # Add stats expander with visualization for Models (ADDED SECTION)
+        with st.expander("View Top 30 Models Contributors Chart"):
+            # Create a bar chart for top 30 models contributors
+            if top_owners_models:
+                chart_data = pd.DataFrame(top_owners_models[:30], columns=["Owner", "Models Count"])
+                
+                fig, ax = plt.subplots(figsize=(10, 8))
+                bars = ax.barh(chart_data["Owner"], chart_data["Models Count"])
+                
+                # Add color gradient to bars
+                for i, bar in enumerate(bars):
+                    bar.set_color(plt.cm.plasma(i/len(bars)))  # Using a different colormap for distinction
+                
+                ax.set_title("Top 30 Contributors by Number of Models")
+                ax.set_xlabel("Number of Models")
+                plt.tight_layout()
+                st.pyplot(fig)
     
     # Display trending accounts selection dropdown
     st.subheader("Select Contributor")