Test

app.py

@@ -153,7 +153,7 @@ with gr.Blocks(css=custom_css, js=js_func, theme=gr.themes.Default(primary_hue=c
                 wrap=False,
                 datatype=["markdown", "html",],
                 interactive=True,
-                column_widths=["5%", "20%", "8%", "12%"],)
+                column_widths=["5%", "28%", "10%", "15%", "6.5%", "6.5%", "6.5%", "6.5%", "6.5%", "6.5%", "6.5%"],)
         
         with gr.Tab("Interactive Bubble Plot"):
             with gr.Row():

utils.py

@@ -53,7 +53,7 @@ def filter_bench_all(subset: pd.DataFrame) -> pd.DataFrame:
     pivot_df['Model'] = pivot_df.apply(lambda row: model_hyperlink(row["Model URL"], row["Model"]), axis=1)
     pivot_df['Type'] = pivot_df['Model Type'].map(lambda x: type_emoji.get(x, ""))
     pivot_df.rename(columns={
-        # 'Exact Matching (EM)': 'EM', 
+        'Exact Matching (EM)': 'EM', 
         'Syntax (STX)': 'Avg STX', 
         'Functionality (FNC)': 'Avg FNC', 
         'Synthesis (SYN)': 'Avg SYN', 
@@ -61,8 +61,8 @@ def filter_bench_all(subset: pd.DataFrame) -> pd.DataFrame:
         'Performance': 'Avg Perf',
         'Area': 'Avg Area',
     }, inplace=True)
-    columns_order = ['Type', 'Model', 'Params', 'Average ⬆️', 'Avg STX', 'Avg FNC', 'Avg SYN', 'Avg Power', 'Avg Perf', 'Avg Area']
-    # columns_order = ['Type', 'Model', 'Params', 'Average ⬆️', 'Avg EM', 'Avg STX', 'Avg FNC', 'Avg SYN', 'Avg Power', 'Avg Perf', 'Avg Area']
+    # columns_order = ['Type', 'Model', 'Params', 'Average ⬆️', 'Avg STX', 'Avg FNC', 'Avg SYN', 'Avg Power', 'Avg Perf', 'Avg Area']
+    columns_order = ['Type', 'Model', 'Params', 'Average ⬆️', 'Avg EM', 'Avg STX', 'Avg FNC', 'Avg SYN', 'Avg Power', 'Avg Perf', 'Avg Area']
     pivot_df = pivot_df[[col for col in columns_order if col in pivot_df.columns]]
     pivot_df = pivot_df.sort_values(by='Average ⬆️', ascending=False).reset_index(drop=True)
     # pivot_df.insert(0, '', range(1, len(pivot_df) + 1))