diff --git a/src/eynollah/cli.py b/src/eynollah/cli.py
index a313860..5135534 100644
--- a/src/eynollah/cli.py
+++ b/src/eynollah/cli.py
@@ -325,12 +325,12 @@ def enhancement(image, out, overwrite, dir_in, model, num_col_upper, num_col_low
 @click.option(
     "--threshold_art_class_layout",
     "-tharl",
-    help="threshold of artifical class in the case of layout detection",
+    help="threshold of artifical class in the case of layout detection. The default value is 0.1",
 )
 @click.option(
     "--threshold_art_class_textline",
     "-thart",
-    help="threshold of artifical class in the case of textline detection",
+    help="threshold of artifical class in the case of textline detection. The default value is 0.1",
 )
 @click.option(
     "--skip_layout_and_reading_order",
diff --git a/src/eynollah/eynollah.py b/src/eynollah/eynollah.py
index aa1b2e1..9e5ba51 100644
--- a/src/eynollah/eynollah.py
+++ b/src/eynollah/eynollah.py
@@ -318,7 +318,7 @@ class Eynollah:
         if self.ocr and self.tr:
             self.model_ocr_dir = dir_models + "/trocr_model_ens_of_3_checkpoints_201124"
         elif self.ocr and not self.tr:
-            self.model_ocr_dir = dir_models + "/model_eynollah_ocr_cnnrnn_20250725"
+            self.model_ocr_dir = dir_models + "/model_eynollah_ocr_cnnrnn_20250805"
         if self.tables:
             if self.light_version:
                 self.model_table_dir = dir_models + "/modelens_table_0t4_201124"
@@ -5144,7 +5144,7 @@ class Eynollah_ocr:
                     self.b_s = int(batch_size)
 
             else:
-                self.model_ocr_dir = dir_models + "/model_eynollah_ocr_cnnrnn_20250725"#"/model_step_1020000_ocr"#"/model_ens_ocrcnn_new10"#"/model_step_255000_ocr"#"/model_ens_ocrcnn_new9"#"/model_step_900000_ocr"#"/model_eynollah_ocr_cnnrnn_20250716"#"/model_ens_ocrcnn_new6"#"/model_ens_ocrcnn_new2"#
+                self.model_ocr_dir = dir_models + "/model_eynollah_ocr_cnnrnn_20250805"
                 model_ocr = load_model(self.model_ocr_dir , compile=False)
                 
                 self.prediction_model = tf.keras.models.Model(