Removed unnecessary print statements

app.py

@@ -22,7 +22,8 @@ def ensure_folder_exists(output_folder:str):
         os.makedirs(output_folder, exist_ok=True)
         print(f"Created the {output_folder} folder.")
     else:
-        print(f"The {output_folder} folder already exists.")
+        pass
+            #print(f"The {output_folder} folder already exists.")
 
 ensure_folder_exists(CONFIG_FOLDER)
 ensure_folder_exists(OUTPUT_FOLDER)

tools/config.py

@@ -284,11 +284,6 @@ elif CHOSEN_LOCAL_MODEL_TYPE == "gpt-oss-20b":
     LOCAL_MODEL_FILE = GPT_OSS_MODEL_FILE
     LOCAL_MODEL_FOLDER = GPT_OSS_MODEL_FOLDER
 
-    print("CHOSEN_LOCAL_MODEL_TYPE:", CHOSEN_LOCAL_MODEL_TYPE)
-    print("LOCAL_REPO_ID:", LOCAL_REPO_ID)
-    print("LOCAL_MODEL_FILE:", LOCAL_MODEL_FILE)
-    print("LOCAL_MODEL_FOLDER:", LOCAL_MODEL_FOLDER)
-
 LLM_MAX_GPU_LAYERS = int(get_or_create_env_var('LLM_MAX_GPU_LAYERS','-1')) # Maximum possible
 LLM_TEMPERATURE = float(get_or_create_env_var('LLM_TEMPERATURE', '0.1'))
 LLM_TOP_K = int(get_or_create_env_var('LLM_TOP_K','96')) # https://docs.unsloth.ai/basics/gemma-3-how-to-run-and-fine-tune

tools/llm_api_call.py

@@ -361,17 +361,13 @@ def write_llm_output_and_logs(response_text: str,
     whole_conversation_metadata_str = '\n'.join(whole_conversation_metadata)
     start_row_reported = start_row + 1
 
-    print("model_choice_clean in write_llm_output_and_logs:", model_choice_clean)
-
     batch_file_path_details = create_batch_file_path_details(file_name)
 
     # Need to reduce output file names as full length files may be too long
     model_choice_clean_short = clean_column_name(model_choice_clean, max_length=20, front_characters=False)
     # in_column_cleaned = clean_column_name(in_column, max_length=20)    
-    # file_name_clean = clean_column_name(file_name, max_length=20, front_characters=True)   
-    # 
+    # file_name_clean = clean_column_name(file_name, max_length=20, front_characters=True)
 
-    print("model_choice_clean_short in write_llm_output_and_logs:", model_choice_clean_short)
 
     # # Save outputs for each batch. If master file created, label file as master
     # batch_file_path_details = f"{file_name_clean}_batch_{latest_batch_completed + 1}_size_{batch_size_number}_col_{in_column_cleaned}"