add update dynamic

app.py

@@ -379,7 +379,6 @@ with demo:
                     gr.Markdown(EVALUATION_QUEUE_TEXT, elem_classes="markdown-text")
 
                 with gr.Column():
-                    print(len(finished_eval_queue_df), finished_eval_queue_df)
                     with gr.Accordion(
                         f"✅ Finished Evaluations ({len(finished_eval_queue_df)})",
                         open=False,
@@ -477,6 +476,6 @@ with demo:
 
 scheduler = BackgroundScheduler()
 scheduler.add_job(restart_space, "interval", seconds=1800)
-#scheduler.add_job(update_dynamic_files, "cron", minute=30) # launched every hour on the hour
+scheduler.add_job(update_dynamic_files, "cron", minute=30) # launched every hour on the hour
 scheduler.start()
 demo.queue(default_concurrency_limit=40).launch()

src/populate.py

@@ -49,12 +49,9 @@ def get_evaluation_queue_df(save_path: str, cols: list) -> list[pd.DataFrame]:
                 data[EvalQueueColumn.model.name] = make_clickable_model(data["model"])
                 data[EvalQueueColumn.revision.name] = data.get("revision", "main")
                 all_evals.append(data)
-    print("all_evals", all_evals)
     pending_list = [e for e in all_evals if e["status"] in ["PENDING", "RERUN"]]
     running_list = [e for e in all_evals if e["status"] == "RUNNING"]
     finished_list = [e for e in all_evals if e["status"].startswith("FINISHED") or e["status"] == "PENDING_NEW_EVAL"]
-    print("finished_list", finished_list)
-    print("pending_list", pending_list)
     df_pending = pd.DataFrame.from_records(pending_list, columns=cols)
     df_running = pd.DataFrame.from_records(running_list, columns=cols)
     df_finished = pd.DataFrame.from_records(finished_list, columns=cols)