Update app.py

app.py

@@ -26,39 +26,16 @@ from src.display.utils import (
     WeightType,
     Precision
 )
-from src.envs import API, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, QUEUE_REPO, REPO_ID, RESULTS_REPO, TOKEN
-from src.populate import get_evaluation_queue_df, get_leaderboard_df
-from src.submission.submit import add_new_eval
+from src.envs import API, DATA_PATH
+from src.populate import get_leaderboard_df
 
 
 def restart_space():
     API.restart_space(repo_id=REPO_ID)
 
-try:
-    print(EVAL_REQUESTS_PATH)
-    snapshot_download(
-        repo_id=QUEUE_REPO, local_dir=EVAL_REQUESTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
-    )
-except Exception:
-    restart_space()
-try:
-    print(EVAL_RESULTS_PATH)
-    snapshot_download(
-        repo_id=RESULTS_REPO, local_dir=EVAL_RESULTS_PATH, repo_type="dataset", tqdm_class=None, etag_timeout=30, token=TOKEN
-    )
-except Exception:
-    restart_space()
-
-
-raw_data, original_df = get_leaderboard_df(EVAL_RESULTS_PATH, EVAL_REQUESTS_PATH, COLS, BENCHMARK_COLS)
+raw_data, original_df = get_leaderboard_df(DATA_PATH, COLS, BENCHMARK_COLS)
 leaderboard_df = original_df.copy()
 
-(
-    finished_eval_queue_df,
-    running_eval_queue_df,
-    pending_eval_queue_df,
-) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
-
 
 # Searching and filtering
 def update_table(
@@ -340,7 +317,7 @@ with demo:
     #             show_copy_button=True,
     #         )
 
-scheduler = BackgroundScheduler()
-scheduler.add_job(restart_space, "interval", seconds=1800)
-scheduler.start()
+#scheduler = BackgroundScheduler()
+#scheduler.add_job(restart_space, "interval", seconds=1800)
+#scheduler.start()
 demo.queue(default_concurrency_limit=40).launch()