Remove background scheduler

app.py

@@ -1,11 +1,11 @@
-import datetime
+# import datetime
 import json
 import os
 from pathlib import Path
 
 import gradio as gr
 import huggingface_hub as hfh
-from apscheduler.schedulers.background import BackgroundScheduler
+# from apscheduler.schedulers.background import BackgroundScheduler
 
 
 DATASET_ID = "albertvillanova/datasets-report"
@@ -56,21 +56,21 @@ def filter_dataframe(date_from, date_to):
     return [[ds.id, ds.downloads] for ds in dss]
 
 
-def update_datasets():
-    # Retrieve datasets
-    datasets = hfh.list_datasets()
-    # Save dataset IDs
-    repo = pull_dataset_repo()
-    os.makedirs(DATA_PATH, exist_ok=True)
-    today = datetime.datetime.now(datetime.timezone.utc).date().isoformat()
-    with repo.commit(f"Add {today} data file"):
-        with open(f"data/{today}.json", "w") as f:
-            json.dump([ds.id for ds in sorted(datasets, key=lambda item: item.id)], f)
-
-
-scheduler = BackgroundScheduler()
-scheduler.add_job(update_datasets, trigger="cron", hour=0, minute=1, timezone=datetime.timezone.utc)
-scheduler.start()
+# def update_datasets():
+#     # Retrieve datasets
+#     datasets = hfh.list_datasets()
+#     # Save dataset IDs
+#     repo = pull_dataset_repo()
+#     os.makedirs(DATA_PATH, exist_ok=True)
+#     today = datetime.datetime.now(datetime.timezone.utc).date().isoformat()
+#     with repo.commit(f"Add {today} data file"):
+#         with open(f"data/{today}.json", "w") as f:
+#             json.dump([ds.id for ds in sorted(datasets, key=lambda item: item.id)], f)
+#
+#
+# scheduler = BackgroundScheduler()
+# scheduler.add_job(update_datasets, trigger="cron", hour=0, minute=1, timezone=datetime.timezone.utc)
+# scheduler.start()
 
 
 with gr.Blocks() as demo: