update

app.py

@@ -373,7 +373,9 @@ scheduler.add_job(restart_space, "interval", seconds=2 * 60 * 60)
 
 def launch_backend():
     import subprocess
-    _ = subprocess.run(["python", "backend-cli.py"])
+    from src.backend.envs import DEVICE
+    if DEVICE not in {'cpu'}:
+        _ = subprocess.run(["python", "backend-cli.py"])
 
 
 scheduler.add_job(launch_backend, "interval", seconds=120)

src/backend/manage_requests.py

@@ -90,16 +90,8 @@ def get_eval_requests(job_status: list, local_dir: str, hf_repo: str) -> list[Ev
     return eval_requests
 
 
-def check_completed_evals(
-    api: HfApi,
-    hf_repo: str,
-    local_dir: str,
-    checked_status: str,
-    completed_status: str,
-    failed_status: str,
-    hf_repo_results: str,
-    local_dir_results: str,
-):
+def check_completed_evals(api: HfApi, hf_repo: str, local_dir: str, checked_status: str, completed_status: str,
+                          failed_status: str, hf_repo_results: str, local_dir_results: str):
     """Checks if the currently running evals are completed, if yes, update their status on the hub."""
     snapshot_download(repo_id=hf_repo_results, revision="main", local_dir=local_dir_results, repo_type="dataset", max_workers=60)
 
@@ -115,12 +107,8 @@ def check_completed_evals(
         output_file_exists = len(glob.glob(output_file)) > 0
 
         if output_file_exists:
-            print(
-                f"EXISTS output file exists for {model} setting it to {completed_status}"
-            )
+            print(f"EXISTS output file exists for {model} setting it to {completed_status}")
             set_eval_request(api, eval_request, completed_status, hf_repo, local_dir)
         else:
-            print(
-                f"No result file found for {model} setting it to {failed_status}"
-            )
+            print(f"No result file found for {model} setting it to {failed_status}")
             set_eval_request(api, eval_request, failed_status, hf_repo, local_dir)