update

app.py

@@ -38,12 +38,13 @@ def load_data(files, model_type):
 
 # Load and label all data
 data = load_data(noncot_results, "Text Only")
+data_qwen = load_data(noncot_results_qwen, "Text Only")
 vision_data = load_data(vision_results, "Vision")
 cot_text_data = load_data(cot_text_results, "CoT Text Only")
 # cot_vision_data = load_data(cot_vision_results, "CoT Vision")
 
 # Combine all data into a single DataFrame
-all_data = pd.concat([data, vision_data, cot_text_data], ignore_index=True)
+all_data = pd.concat([data_qwen, vision_data, cot_text_data], ignore_index=True)
 
 all_model_names = all_data["Model Name"].unique()
 all_text_only_model_names = list(
@@ -414,7 +415,7 @@ def generate_heatmap_for_intersection_model(model_name):
 
     sns.despine(ax=ax, top=True, right=True, left=True, bottom=True)
 
-    plt.close(fig)  # Prevent it from showing immediately
+    plt.close(fig)
     return fig
 
 
@@ -443,7 +444,7 @@ with gr.Blocks() as demo:
         heatmap_image_qwen = gr.Image(label="", show_label=False)
         leader_board.select(fn=load_heatmap_qwen, outputs=[heatmap_image_qwen])
 
-    with gr.Tab("Vision Benchmark"):
+    with gr.Tab("Vision Benchmark", visible=False):
         gr.Markdown("# Vision Benchmark Leaderboard")
         leader_board_vision = gr.Dataframe(
             vision_accuracy_df, headers=headers_with_icons
@@ -454,7 +455,7 @@ with gr.Blocks() as demo:
             fn=load_vision_heatmap, outputs=[heatmap_image_vision]
         )
 
-    with gr.Tab("Text-only Benchmark (CoT)"):
+    with gr.Tab("Text-only Benchmark (CoT)", visible=False):
         gr.Markdown("# Text-only Leaderboard (CoT)")
         cot_leader_board_text = gr.Dataframe(
             cot_text_accuracy_df, headers=headers_with_icons
@@ -499,7 +500,7 @@ with gr.Blocks() as demo:
         queue=True,
     )
 
-    with gr.Tab("Constraint Text-only Results (CoT)"):
+    with gr.Tab("Constraint Text-only Results (CoT)", visible=False):
         gr.Markdown("## Constraint Text-only Leaderboard by first substrin (CoT)")
         included_models_cot = gr.CheckboxGroup(
             label="Models to include",
@@ -514,14 +515,14 @@ with gr.Blocks() as demo:
         constrained_leader_board_text_cot = gr.Dataframe()
         constrained_leader_board_plot_cot = gr.Plot()
 
-    with gr.Tab("Majority Vote (Subset 1)"):
+    with gr.Tab("Majority Vote (Subset 1)", visible=False):
         gr.Markdown("## Majority Vote (Subset 1)")
         intersection_leader_board = gr.Dataframe(
             intersection_df_acc, headers=headers_with_icons
         )
         heatmap_image = gr.Plot(label="Model Heatmap")
 
-    with gr.Tab("Text-only Benchmark (deprecated)"):
+    with gr.Tab("Text-only Benchmark (deprecated)", visible=False):
         gr.Markdown("# Text-only Leaderboard")
         leader_board = gr.Dataframe(accuracy_df, headers=headers_with_icons)
         gr.Markdown("## Heatmap")