diff --git a/train_ms.py b/train_ms.py
index cb49a82..a917569 100644
--- a/train_ms.py
+++ b/train_ms.py
@@ -17,6 +17,7 @@ from tqdm import tqdm
 
 # logging.getLogger("numba").setLevel(logging.WARNING)
 import commons
+import default_style
 import utils
 from config import config
 from data_utils import (
@@ -30,7 +31,6 @@ from models import DurationDiscriminator, MultiPeriodDiscriminator, SynthesizerT
 from text.symbols import symbols
 from tools.log import logger
 from tools.stdout_wrapper import get_stdout
-import default_style
 
 torch.backends.cuda.matmul.allow_tf32 = True
 torch.backends.cudnn.allow_tf32 = (
@@ -44,7 +44,12 @@ torch.backends.cuda.enable_mem_efficient_sdp(
 )  # Not available if torch version is lower than 2.0
 torch.backends.cuda.enable_math_sdp(True)
 
-IS_COLAB = "google.colab" in sys.modules
+try:
+    import google.colab
+
+    IS_COLAB = True
+except ImportError:
+    IS_COLAB = False
 
 global_step = 0
 
diff --git a/webui_train.py b/webui_train.py
index db72bdd..c44f464 100644
--- a/webui_train.py
+++ b/webui_train.py
@@ -10,7 +10,12 @@ import yaml
 from tools.log import logger
 from tools.subprocess_utils import run_script_with_log, second_elem_of
 
-IS_COLAB = "google.colab" in sys.modules
+try:
+    import google.colab
+
+    IS_COLAB = True
+except ImportError:
+    IS_COLAB = False
 
 
 def get_path(model_name):
@@ -48,9 +53,12 @@ def initialize(model_name, batch_size, epochs, save_every_steps, bf16_run):
 
     model_path = os.path.join(dataset_path, "models")
     try:
-        shutil.copytree(src="pretrained", dst=model_path)
+        shutil.copytree(
+            src="pretrained",
+            dst=model_path,
+        )
     except FileExistsError:
-        logger.error(f"Step 1: {model_path} already exists.")
+        logger.warning(f"Step 1: {model_path} already exists.")
         return False, f"Step1, Error: モデルフォルダ {model_path} が既に存在します。問題なければ削除してください。"
     except FileNotFoundError:
         logger.error("Step 1: `pretrained` folder not found.")