Updating to my own version

app.py

@@ -8,8 +8,8 @@ configure_root_logger()
 from functools import partial
 
 import gradio as gr
-from main_backend_lighteval import run_auto_eval
-# from main_backend_harness import run_auto_eval
+#from main_backend_lighteval import run_auto_eval
+from main_backend_harness import run_auto_eval
 from src.display.log_visualizer import log_file_to_html_string
 from src.display.css_html_js import dark_mode_gradio_js
 from src.envs import REFRESH_RATE, REPO_ID, QUEUE_REPO, RESULTS_REPO

main_backend_harness.py

@@ -5,7 +5,7 @@ from huggingface_hub import snapshot_download
 
 logging.getLogger("openai").setLevel(logging.WARNING)
 
-from backend.run_eval_suite_harness import run_evaluation
+from src.backend.run_eval_suite_harness import run_evaluation
 from src.backend.manage_requests import check_completed_evals, get_eval_requests, set_eval_request
 from src.backend.sort_queue import sort_models_by_priority
 

src/envs.py

@@ -6,7 +6,7 @@ from huggingface_hub import HfApi
 # ----------------------------------
 TOKEN = os.environ.get("HF_TOKEN") # A read/write token for your org
 
-OWNER = "demo-leaderboard-backend" # Change to your org - don't forget to create a results and request dataset
+OWNER = "meg" # Change to your org - don't forget to create a results and request dataset
 
 # For harness evaluations
 DEVICE = "cpu" # "cuda:0" if you add compute, for harness evaluations