Update app.py

app.py

@@ -13,7 +13,6 @@ import seaborn as sns
 import time
 import random
 from sklearn.preprocessing import StandardScaler
-import pytz
 
 # Configuring the web page and setting the page title and icon
 st.set_page_config(
@@ -114,19 +113,11 @@ with tab1:
         # Immediately rerun the application
         st.experimental_rerun()
 
-    # Define Copenhagen time zone
-    copenhagen_tz = pytz.timezone('Europe/Copenhagen')
-
-    # Get current time in Copenhagen
-    now_utc = datetime.now(pytz.utc)
-    now = now_utc.astimezone(copenhagen_tz)
+    # Get current time in UTC + 2 hours
+    now = datetime.now() + timedelta(hours=2) # Get current time 
     yesterday = now - timedelta(days=1)
 
-
-    # Ensure the time column in the DataFrame is in datetime format
-    building_new['time'] = pd.to_datetime(building_new['time'])
-
-    df_specific_time_range = building_new[(building_new['time'] >= pd.to_datetime(yesterday)) & (building_new['time'] <= pd.to_datetime(now))]
+    df_specific_time_range = building_new[(building_new['time'] >= yesterday) & (building_new['time'] <= now)]
     data_to_normalize = df_specific_time_range[['x', 'y', 'z']]
 
     # Applying StandardScaler