Add docstring for conversion function

src/model/management.py

@@ -178,10 +178,9 @@ def load_model_from_directory(directory: str,
             return tf.keras.models.load_model(model_file,
                                               custom_objects=custom_objects,
                                               compile=compile)
-        except (TypeError, ValueError) as e:
-            logging.error("Error loading model: %s", e)
-            logging.info("Attempting to convert the model to the new Keras "
-                         "format.")
+        except (TypeError, ValueError):
+            logging.error("Error loading model. Attempting to convert the "
+                          "model to the new format.")
 
             # Convert the old model to the new format
             model = _convert_old_model_to_new(model_file, custom_objects,
@@ -207,6 +206,24 @@ def load_model_from_directory(directory: str,
 def _convert_old_model_to_new(model_file: str,
                               custom_objects: dict,
                               compile: bool = True) -> tf.keras.Model:
+    """
+    Converts an old v2 Keras model to the new v3 format.
+
+    Parameters
+    ----------
+    model_file : str
+        The path to the .keras file containing the old model.
+    custom_objects : dict
+        Custom objects required for model loading.
+    compile : bool, optional
+        Whether to compile the model after loading, by default True.
+
+    Returns
+    -------
+    tf.keras.Model
+        The converted Keras model.
+    """
+
     # Temporary directory to extract the .keras file contents
     temp_dir = "/tmp/keras_model_extraction"