make scheduler 30 mins for testing

app.py

@@ -134,7 +134,7 @@ def parse_hub_id_entry(hub_id: str) -> Union[str, List[str]]:
     except HFValidationError as e:
         raise gr.Error(f"Invalid format for Hugging Face Hub dataset ID. {e}") from e
     except RepositoryNotFoundError as e:
-        raise gr.Error("Invalid Hugging Face Hub dataset ID") from e
+        raise gr.Error(f"{hub_id}: Invalid Hugging Face Hub dataset ID") from e
 
 
 def remove_user_from_tracking_datasets(dataset_id, profile: gr.OAuthProfile | None):
@@ -399,8 +399,10 @@ This Gradio app allows you to track datasets hosted on the Hugging Face Hub and
 
 **Tip** *You can use a wildcard `*` to track all datasets for a user or organization on the hub. For example `biglam/*` will create alerts for all the datasets under the biglam Hugging Face Organization*
 
+**You need to be logged in to your Hugging Face account to use this app.** If you don't have a Hugging Face Hub account you can get one <a href="https://huggingface.co/join">here</a>. 
 
-**You need to be logged in to your Hugging Face account to use this app.** If you don't have a Hugging Face Hub account you can get one <a href="https://huggingface.co/join">here</a>.        
+**NOTE** This app is a proof of concept and is intended to validate how much interest there is for a feature like this. 
+If you have feedback please add it to this [discussion]()
 """
 
 with gr.Blocks() as demo:
@@ -439,13 +441,13 @@ with gr.Blocks() as demo:
         user_stats_btn.click(user_stats, [], output)
 scheduler = BackgroundScheduler()
 
-if local:
-    scheduler.add_job(notify_about_new_models, "interval", minutes=30)
-else:
-    scheduler.add_job(
-        notify_about_new_models,
-        CronTrigger.from_crontab("0 */12 * * *"),
-    )
+# if local:
+scheduler.add_job(notify_about_new_models, "interval", minutes=30)
+# else:
+#     scheduler.add_job(
+#         notify_about_new_models,
+#         CronTrigger.from_crontab("0 */12 * * *"),
+#     )
 scheduler.start()
 demo.queue(max_size=5)
 demo.launch()