Final

app.py

@@ -14,7 +14,11 @@ dataframe: pd.DataFrame = None
 def load_dataframe(dataset=None) -> pd.DataFrame:
     global dataframe
     if dataset is None:
-        dataset = load_dataset(DATASET_ID, split="train")
+        # Force download of latest data by disabling cache
+        dataset = load_dataset(
+            DATASET_ID, split="train", download_mode="force_redownload"
+        )
+        print(f"Loaded dataset: {len(dataset)}")
     results = dataset.map(
         lambda item: {
             "Team": item["team"],
@@ -127,8 +131,15 @@ def refresh_leaderboard(push_to_hub: bool = True):
         dataset.push_to_hub(DATASET_ID, token=HF_TOKEN)
 
 
+def get_leaderboard():
+    global dataframe
+    print(f"Getting leaderboard: {len(dataframe)}")
+    return dataframe
+
+
 # Create Gradio interface
 def create_interface():
+    global dataframe
     with gr.Blocks(title="AMD vLLM Benchmark Leaderboard") as demo:
         gr.Markdown("# AMD vLLM Benchmark Leaderboard")
         gr.Markdown(
@@ -179,14 +190,14 @@ def create_interface():
             )
 
             # Auto-refresh every 30 seconds
-            timer = gr.Timer(30)  # 30 seconds interval
+            timer = gr.Timer(15)  # 30 seconds interval
             timer.tick(
                 fn=refresh_leaderboard,
             )
 
-            timer = gr.Timer(30)
-            timer.tick(
-                fn=lambda: dataframe,
+            data_timer = gr.Timer(15)
+            data_timer.tick(
+                fn=get_leaderboard,
                 outputs=leaderboard_table,
             )
 
@@ -202,5 +213,4 @@ if __name__ == "__main__":
         server_name="0.0.0.0",
         server_port=7860,
         share=True,
-        max_threads=40,
     )