called the update process when starting

app.py

@@ -3,19 +3,19 @@ import json
 import requests
 
 import pandas as pd
+import gradio as gr
 from huggingface_hub import HfApi, hf_hub_download, snapshot_download
 from huggingface_hub.repocard import metadata_load
 from tqdm.contrib.concurrent import thread_map
 from apscheduler.schedulers.background import BackgroundScheduler
 
-from tqdm.contrib.concurrent import thread_map
 
 DATASET_REPO_URL = "https://huggingface.co/datasets/pkalkman/drlc-leaderboard-data"
 DATASET_REPO_ID = "pkalkman/drlc-leaderboard-data"
 HF_TOKEN = os.environ.get("HF_TOKEN")
 
 api = HfApi(token=HF_TOKEN)
-
+block = gr.Blocks()
 
 # Read the environments from the JSON file
 with open('envs.json', 'r') as f:
@@ -179,6 +179,18 @@ def run_update_dataset():
         commit_message="Update dataset")
 
 
+# run at startup
+run_update_dataset()
+
 scheduler = BackgroundScheduler()
 scheduler.add_job(run_update_dataset, 'interval', seconds=10800)
 scheduler.start()
+
+with block:
+    gr.Markdown("""
+    # 🏆 Deep Reinforcement Learning Course Leaderboard Updater 
+
+    The process to update the leaderboard is running in the background.
+    """)
+
+block.launch()