++

app.py

@@ -49,7 +49,7 @@ def init_leaderboard(dataframe):
             cant_deselect=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
             label="Select Columns to Display:",
         ),
-        search_columns=[AutoEvalColumn.model_name.name],
+        search_columns=[AutoEvalColumn.model_name.name,AutoEvalColumn.eval_name.name],
         hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
         filter_columns=[],
         bool_checkboxgroup_label="Hide models",
@@ -64,15 +64,12 @@ with demo:
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏅 GridNet-HD Benchmark", elem_id="llm-benchmark-tab-table", id=0):
-            # leaderboard_container = gr.Column()
             leaderboard = init_leaderboard(LEADERBOARD_DF)
-            # leaderboard = gr.Column()
-
+            """
             def reload_leaderboard():
                 # Reload dataframe
                 print("reload_leaderboard")
                 df = get_leaderboard_df(EVAL_RESULTS_PATH, COLS)
-                #print("ok")
                 return df
             # Load on app start or page refresh
             demo.load(
@@ -80,6 +77,7 @@ with demo:
                 inputs=[],
                 outputs=[leaderboard]
             )
+            """
 
         with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
             gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")

src/envs.py

@@ -10,7 +10,6 @@ OWNER = "heig-vd-geo" # Change to your org - don't forget to create a results an
 # ----------------------------------
 
 REPO_ID = f"{OWNER}/GridNet-HD-Leaderboard"
-# QUEUE_REPO = f"{OWNER}/requests"
 RESULTS_REPO = f"{OWNER}/GridNet-HD-results"
 
 # If you setup a cache later, just change HF_HOME