From f5cc402c26214b78deab2a7890ba88a47d3377f5 Mon Sep 17 00:00:00 2001
From: OMGToFo <93513240+OMGToFo@users.noreply.github.com>
Date: Thu, 4 Jul 2024 09:30:57 +0200
Subject: [PATCH] Update app.py

---
 app.py | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/app.py b/app.py
index 03475b4..a8f5c6b 100644
--- a/app.py
+++ b/app.py
@@ -29,7 +29,7 @@
 
 st.title("SPSS File Viewer")
 st.info("Here you can view SPSS-Files with/without labels and also export them to Excel and do some basic statistical testing and tabulation")
-st.warning("Unfortunatlely this app get's shut down now and then, i think due to data usage limits")
+st.warning("Unfortunatlely this app crashes kinda often, i think due to data usage limits")
 
 col_names_labels_df = pd.DataFrame()
 
@@ -67,14 +67,12 @@
         # Checkbox to allow renaming columns with variable labels ############################
 
 
+        st.write("")
+        rename_columns = st.checkbox("Rename column names with labels \n (Attention - as of now there have to be Variable Labels in SPSS to all Variables!")
 
 
-        st.sidebar.write("")
-        rename_columns = st.sidebar.checkbox("Rename column names with labels \n (Attention - as of now there have to be Variable Labels in SPSS to all Variables!")
-
-
-        st.sidebar.write("")
-        dropEmptyColumns= st.sidebar.checkbox("Drop all columns that only contain Nan or None Values - helps if renaming does not work")
+        st.write("")
+        dropEmptyColumns= st.checkbox("Drop all columns that only contain Nan or None Values - helps if renaming does not work")
         if dropEmptyColumns:
             labelledData = labelledData.dropna(axis=1, how='all')
             rawData = rawData.dropna(axis=1, how='all')