Re-arranging

app.py

@@ -485,6 +485,20 @@ with gr.Blocks() as demo:
     """)
         gr.Markdown("## Best Config")
         gr.HTML(best_config.transpose().to_html(header=False))
+    with gr.Tab("Cost Analysis"):
+        with gr.Tab("Cost vs VUs & Batch"):
+            gr.Markdown(contour_md)
+            for hw in df["hw_type"].unique():
+                for img in df["image"].unique():
+                    df_hw_img = df[(df["hw_type"] == hw) & (df["image"] == img) & (df["vus"] > 20)].copy()
+                    gr.Plot(plot_cost_vs_vus_batch(df_hw_img, hw=hw, img=img))        
+        with gr.Tab("Best Image by Cost Savings"):
+            gr.Markdown(best_image_by_cost_savings_md)
+            for fig in best_image_by_cost_savings(df):
+                gr.Plot(fig)
+        with gr.Tab("Cost vs Latency"):
+            gr.Markdown(cost_vs_latency_md)
+            gr.Plot(plot_cost_vs_latency(df))
     with gr.Tab("Sanity Checks"):
 
         with gr.Tab("Failed Requests"):
@@ -523,20 +537,5 @@ with gr.Blocks() as demo:
             gr.Plot(plot_accuracy_distribution(df))
             gr.Markdown(accuracy_md2)
             gr.Dataframe(top_outliers(df))
-    with gr.Tab("Cost Analysis"):
-        with gr.Tab("Best Image by Cost Savings"):
-            gr.Markdown(best_image_by_cost_savings_md)
-            for fig in best_image_by_cost_savings(df):
-                gr.Plot(fig)
-        with gr.Tab("Cost vs Latency"):
-            gr.Markdown(cost_vs_latency_md)
-            gr.Plot(plot_cost_vs_latency(df))
-
-        with gr.Tab("Cost vs VUs & Batch"):
-            gr.Markdown(contour_md)
-            for hw in df["hw_type"].unique():
-                for img in df["image"].unique():
-                    df_hw_img = df[(df["hw_type"] == hw) & (df["image"] == img) & (df["vus"] > 20)].copy()
-                    gr.Plot(plot_cost_vs_vus_batch(df_hw_img, hw=hw, img=img))
 
 demo.launch()