update scripts

src/backend/model_operations.py

@@ -1243,18 +1243,20 @@ class EvaluationModel:
         save_path = result_save_path.replace('.csv','_coding.csv')
         self.llm_df = self.code_results_llm(summaries_df)
 
-        envs.API.upload_file(
-            path_or_fileobj=f"./generation_results/{self.model}_coding.csv",
-            path_in_repo=f"{self.model}_coding.csv",
-            repo_id=envs.RESULTS_REPO,
-            repo_type="dataset",
-        )
+
 
         if save_path is not None:
             print(f'Save LLM coding results to {save_path}')
             fpath = Path(save_path)
             fpath.parent.mkdir(parents=True, exist_ok=True)
             self.llm_df.to_csv(fpath)
+        
+        envs.API.upload_file(
+            path_or_fileobj=f"./generation_results/{self.model}_coding.csv",
+            path_in_repo=f"{self.model}_coding.csv",
+            repo_id=envs.RESULTS_REPO,
+            repo_type="dataset",
+        )
         # file_path_1 = '/Users/simon/Downloads/coding_human.xlsx'
         # file_path_2 = '/Users/simon/Downloads/Meta-Llama-3.1-70B-Instruct_coding.csv'
         avg_js_divergence = self.calculate_js_divergence(human_data_path, save_path)