diff --git a/Seanium_Brain.py b/Seanium_Brain.py
index 99b17a5..d1e08ca 100644
--- a/Seanium_Brain.py
+++ b/Seanium_Brain.py
@@ -64,6 +64,11 @@ with st.sidebar:
                                   "your prompt plus `max_tokens` cannot exceed the model's context length. Most "
                                   "models have a context length of 2048 tokens (except for the newest models, "
                                   "which support 4096)."))
+    chunk_size = st.slider(_('Chunk size'), 1500, 4500,
+                           value=util.read_json_at(INFO.BRAIN_MEMO, 'chunk_size', 4000),
+                           help=_("The number of tokens to consider at each step. The larger this is, the more "
+                                  "context the model has to work with, but the slower generation and expensive "
+                                  "will it be."))
 
     with st.expander(label=_('Advanced Options')):
         top_p = st.slider(_('Top_P'), 0.0, 1.0, value=util.read_json_at(INFO.BRAIN_MEMO, 'top_p', 1.0),
@@ -83,12 +88,6 @@ with st.sidebar:
                                      "new tokens based on their existing frequency in the text so far."
                                      "\n\n[See more information about frequency and presence penalties.]"
                                      "(https://platform.openai.com/docs/api-reference/parameter-details)"))
-
-        chunk_size = st.slider(_('Chunk size'), 1500, 4500,
-                               value=util.read_json_at(INFO.BRAIN_MEMO, 'chunk_size', 4000),
-                               help=_("The number of tokens to consider at each step. The larger this is, the more "
-                                      "context the model has to work with, but the slower generation and expensive "
-                                      "will it be."))
         enable_stream = st_toggle.st_toggle_switch(_('Stream (experimental)'),
                                                    default_value=util.read_json_at(INFO.BRAIN_MEMO, 'enable_stream',
                                                                                    False))