Trying other dataloader

app.py

@@ -19,14 +19,14 @@ def format_leaderboard_table(df_results: pd.DataFrame, assay: str | None = None)
     df = df[column_order]
     return df.sort_values(by="spearman", ascending=False)
 
-def get_leaderboard_object(df_results: pd.DataFrame, assay: str | None = None):
-    df = format_leaderboard_table(df_results=df_results, assay=assay)
+def get_leaderboard_object(assay: str | None = None):
     filter_columns = ["model"]
     if assay is None:
         filter_columns.append("property")
     # TODO how to sort filter columns alphabetically?
     Leaderboard(
-        value=df,
+        # TODO(Lood) check refreshing
+        value=format_leaderboard_table(df_results=fetch_hf_results(), assay=assay),
         datatype=["str", "str", "str", "number"],
         select_columns=["model", "property", "spearman", "spearman_cross_val"],
         search_columns=["model"],
@@ -42,17 +42,16 @@ with gr.Blocks() as demo:
         Participants can submit their model to the leaderboard by uploading a CSV file (see the "✉️ Submit" tab).
         See more details in the "❔About" tab.
         """)
-    df = fetch_hf_results()
     with gr.Tabs(elem_classes="tab-buttons"):
         # Procedurally make these 5 tabs
         for assay in ASSAY_LIST:
             with gr.TabItem(f"{ASSAY_EMOJIS[assay]} {ASSAY_RENAME[assay]}", elem_id=f"abdev-benchmark-tab-table"):
                 gr.Markdown(f"# {ASSAY_DESCRIPTION[assay]}")
-                get_leaderboard_object(df_results=df, assay=assay)
+                get_leaderboard_object(assay=assay)
         
         with gr.TabItem("🚀 Overall", elem_id="abdev-benchmark-tab-table"):                
             gr.Markdown("# Antibody Developability Benchmark Leaderboard over all properties")
-            get_leaderboard_object(df_results=df)
+            get_leaderboard_object()
             # TODO: this is not going to update well, need to fix
         
         with gr.TabItem("❔About", elem_id="abdev-benchmark-tab-table"):