Update app.py

app.py

@@ -135,6 +135,9 @@ rl_envs = [
 }
 ]
 
+def restart():
+    api.restart_space(repo_id="huggingface-projects/Deep-Reinforcement-Learning-Leaderboard")
+
 def get_metadata(model_id):
     try:
         readme_path = hf_hub_download(model_id, filename="README.md")
@@ -335,7 +338,7 @@ with block:
                 grpath = gr.Variable(path_)
             with gr.Row():
                 print("PATH USED", path_)
-                gr_dataframe = gr.components.Dataframe(value=get_data(rl_env["rl_env"], grpath), headers=["Ranking 🏆", "User 🤗", "Model id 🤖", "Results", "Mean Reward", "Std Reward"], datatype=["number", "markdown", "markdown", "number", "number", "number"],  row_count=(100, 'fixed'))
+                gr_dataframe = gr.components.Dataframe(value=get_data(rl_env["rl_env"], path_), headers=["Ranking 🏆", "User 🤗", "Model id 🤖", "Results", "Mean Reward", "Std Reward"], datatype=["number", "markdown", "markdown", "number", "number", "number"],  row_count=(100, 'fixed'))
              
             with gr.Row():
                 #gr_search_dataframe = gr.components.Dataframe(headers=["Ranking 🏆", "User 🤗", "Model id 🤖", "Results", "Mean Reward", "Std Reward"], datatype=["number", "markdown", "markdown", "number", "number", "number"], visible=False)
@@ -344,7 +347,7 @@ with block:
             with gr.Row():
                 search_btn.click(fn=filter_data, inputs=[env, grpath, user_id], outputs=gr_dataframe, api_name="filter_data")
                 reset_btn.click(fn=get_data, inputs=[env, grpath], outputs=gr_dataframe, api_name="get_data")
-
+    """
     block.load(
         download_leaderboard_dataset,
         inputs=[],
@@ -352,10 +355,13 @@ with block:
             grpath
         ],
     )
+    """
 block.launch()
 
+
 scheduler = BackgroundScheduler()
 # Refresh every hour
-scheduler.add_job(func=run_update_dataset, trigger="interval", seconds=3600)
+#scheduler.add_job(func=run_update_dataset, trigger="interval", seconds=3600)
 #scheduler.add_job(download_leaderboard_dataset, 'interval', seconds=3600)
+scheduler.add_job(restart_space, 'interval', seconds=3600)
 scheduler.start()