Initial leaderboard setup

.ipynb_checkpoints/app-checkpoint.py

@@ -198,6 +198,31 @@ with tab2:
     )
     st.plotly_chart(fig, use_container_width=True)
     
+    # Create a single legend figure
+    legend_fig = go.Figure()
+    for model in selected_models:
+        legend_fig.add_trace(go.Scatter(
+            x=[None],
+            y=[None],
+            mode='markers',
+            name=model,
+            showlegend=True
+        ))
+    legend_fig.update_layout(
+        showlegend=True,
+        legend=dict(
+            orientation="h",
+            yanchor="middle",
+            y=1,
+            xanchor="center",
+            x=0.5,
+            font=dict(size=12)
+        ),
+        margin=dict(l=0, r=0, t=0, b=0),
+        height=50
+    )
+    st.plotly_chart(legend_fig, use_container_width=True)
+
     # Individual Precision-Recall plots for each class
     unique_classes = class_data['Class'].unique()
     num_classes = len(unique_classes)
@@ -228,16 +253,7 @@ with tab2:
                     xaxis_range=[0, 1],
                     yaxis_range=[0, 1],
                     margin=dict(l=40, r=40, t=40, b=40),
-                    legend=dict(
-                        orientation="h",    # Horizontal legend
-                        yanchor="bottom",
-                        y=-0.4,            # Position below the plot
-                        xanchor="center",
-                        x=0.5,             # Center horizontally
-                        font=dict(size=8),
-                        itemwidth=30,       # Make legend items more compact
-                        traceorder="normal"
-                    )
+                    showlegend=False,  # Hide individual legends
                 )
                 
                 # Add diagonal reference line

app.py

@@ -198,6 +198,31 @@ with tab2:
     )
     st.plotly_chart(fig, use_container_width=True)
     
+    # Create a single legend figure
+    legend_fig = go.Figure()
+    for model in selected_models:
+        legend_fig.add_trace(go.Scatter(
+            x=[None],
+            y=[None],
+            mode='markers',
+            name=model,
+            showlegend=True
+        ))
+    legend_fig.update_layout(
+        showlegend=True,
+        legend=dict(
+            orientation="h",
+            yanchor="middle",
+            y=1,
+            xanchor="center",
+            x=0.5,
+            font=dict(size=12)
+        ),
+        margin=dict(l=0, r=0, t=0, b=0),
+        height=50
+    )
+    st.plotly_chart(legend_fig, use_container_width=True)
+
     # Individual Precision-Recall plots for each class
     unique_classes = class_data['Class'].unique()
     num_classes = len(unique_classes)
@@ -228,16 +253,7 @@ with tab2:
                     xaxis_range=[0, 1],
                     yaxis_range=[0, 1],
                     margin=dict(l=40, r=40, t=40, b=40),
-                    legend=dict(
-                        orientation="h",    # Horizontal legend
-                        yanchor="bottom",
-                        y=-0.4,            # Position below the plot
-                        xanchor="center",
-                        x=0.5,             # Center horizontally
-                        font=dict(size=8),
-                        itemwidth=30,       # Make legend items more compact
-                        traceorder="normal"
-                    )
+                    showlegend=False,  # Hide individual legends
                 )
                 
                 # Add diagonal reference line