diff --git a/autotranscript/misc.py b/autotranscript/misc.py
index cd75ffc..399fcbb 100644
--- a/autotranscript/misc.py
+++ b/autotranscript/misc.py
@@ -1,36 +1,41 @@
 import os
 import yaml
+from pyannote.audio.core.model import CACHE_DIR as PYANNOTE_CACHE_DIR
 
 CACHE_DIR = os.getenv(
     "AUTOT_CACHE",
     os.path.expanduser("~/.cache/torch/models"),
 )
 
+if CACHE_DIR != PYANNOTE_CACHE_DIR:
+    os.environ["PYANNOTE_CACHE"] = os.path.join(CACHE_DIR, "pyannote")
+
 WHISPER_DEFAULT_PATH = os.path.join(CACHE_DIR, "whisper")
-
 PYANNOTE_DEFAULT_PATH = os.path.join(CACHE_DIR, "pyannote")
-
 PYANNOTE_DEFAULT_CONFIG = os.path.join(PYANNOTE_DEFAULT_PATH, "config.yaml")
 
-def config_diarization_yaml(file, path_to_segmentation = None):
+
+def config_diarization_yaml(file_path: str, path_to_segmentation: str = None) -> None:
+    """Configure diarization pipeline from a YAML file.
+
+    This function updates the YAML file to use the given segmentation model
+    offline, and avoids manual file manipulation.
+
+    Args:
+        file_path (str): Path to the YAML file.
+        path_to_segmentation (str, optional): Optional path to the segmentation model.
+
+    Raises:
+        FileNotFoundError: If the segmentation model file is not found.
     """
-    Configure diarization pipeline from yaml file to use the model offline
-    and avoid manuel file manipulation.
-    
-    :param file: yaml file
-    :type file: yaml
-    """
-    with open(file, "r") as stream:
-            yml = yaml.safe_load(stream)
-            stream.close()
-    if path_to_segmentation:
-        yml["pipeline"]["params"]["segmentation"] = path_to_segmentation
-    else:
-        yml["pipeline"]["params"]["segmentation"] = os.path.join(PYANNOTE_DEFAULT_PATH, "pytorch_model.bin")
-                                                 
-    if not os.path.exists(yml["pipeline"]["params"]["segmentation"]):
-        raise FileNotFoundError(f"Segmentation model not found at {yml['pipeline']['params']['segmentation']}")
-    
-    with open(file, "w") as stream:
+    with open(file_path, "r") as stream:
+        yml = yaml.safe_load(stream)
+
+    segmentation_path = path_to_segmentation or os.path.join(PYANNOTE_DEFAULT_PATH, "pytorch_model.bin")
+    yml["pipeline"]["params"]["segmentation"] = segmentation_path
+
+    if not os.path.exists(segmentation_path):
+        raise FileNotFoundError(f"Segmentation model not found at {segmentation_path}")
+
+    with open(file_path, "w") as stream:
         yaml.dump(yml, stream)
-        stream.close()