Use a structure

app.py

@@ -35,6 +35,17 @@ else:
 tts = TTS(model_name, gpu=torch.cuda.is_available())
 tts.to(device_type)
 
+def save_preferences(preferences, value):
+    preferences["language-id"] = value
+    return preferences
+
+def load_preferences(saved_prefs):
+    if saved_prefs is None:
+        saved_prefs = {
+            "language-id": "en",
+            }
+    return saved_prefs["language-id"]
+
 def update_output(output_number):
     return [
         gr.update(visible = True),
@@ -189,7 +200,8 @@ def predict_on_gpu(
     )
 
 with gr.Blocks() as interface:
-    local_storage = gr.BrowserState("en")
+    local_storage = gr.BrowserState({ #"user_preferences":
+        "language-id": "en",})
     gr.HTML(
         """
         <h1><center>XTTS</center></h1>
@@ -378,8 +390,9 @@ You can install _Pinokio_ locally and then install _XTTS_ into it. It should be
 You can also install XTTS on your computer using docker but it's more complicate.
 """)
 
-    language.change(lambda language: language, inputs = [
-        language
+    language.change(fn = save_preferences, inputs = [
+        local_storage,
+        language,
     ], outputs = [
        local_storage
     ])
@@ -526,7 +539,7 @@ You can also install XTTS on your computer using docker but it's more complicate
 
     # Load saved preferences when the page loads
     interface.load(
-        fn=lambda language: language, inputs = [
+        fn=load_preferences, inputs = [
         local_storage
     ], outputs = [
        language