add RESULT_REPO to evaluate file

src/evaluator/evaluate.py

@@ -8,7 +8,7 @@ import torch
 from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig
 from datasets import load_dataset
 
-from src.envs import API, OWNER, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH
+from src.envs import API, OWNER, EVAL_REQUESTS_PATH, EVAL_RESULTS_PATH, RESULTS_REPO
 from src.display.utils import Tasks
 
 class EvaluationStatus(Enum):
@@ -299,7 +299,6 @@ def process_evaluation_queue():
     model_dirs = [d for d in os.listdir(EVAL_REQUESTS_PATH) if os.path.isdir(os.path.join(EVAL_REQUESTS_PATH, d))]
     print(f"Found {len(model_dirs)} model directories")
     
-    pending_files = []
     for model_dir in model_dirs:
         model_dir_path = os.path.join(EVAL_REQUESTS_PATH, model_dir)
         print(f"\nChecking model directory: {model_dir_path}")