Update app.py

app.py

@@ -209,7 +209,7 @@ import pandas as pd
 app_ui = ui.page_sidebar(
     
     ui.sidebar(
-        ui.markdown("#### 2025 Spring Training Lineup Tracker"), 
+        ui.markdown("#### 2025 MLB Lineup Tracker"), 
         ui.input_select(
             "team_id",
             "Select Team",
@@ -227,14 +227,6 @@ app_ui = ui.page_sidebar(
                         target="_blank"
                     )
                 ),
-                ui.div(
-                    "Inspired By: ",  # Plain text
-                    ui.tags.a(
-                        "@Mike_Kurland",  # Only the handle is linked
-                        href="https://x.com/Mike_Kurland",
-                        target="_blank"
-                    )
-                ),
                 ui.tags.p("Data: MLB"),
                 ui.tags.p(
                     ui.tags.a(
@@ -295,29 +287,29 @@ def server(input, output, session):
     @render.text
     def lineup_title():
 
-            return f"{teams_name_dict[int(input.team_id())]} Spring Training Lineups"
+            return f"{teams_name_dict[int(input.team_id())]} Lineups"
 
     @render.text
     def summary_title():
 
-            return f"{teams_name_dict[int(input.team_id())]} Spring Training Lineup Summary"
+            return f"{teams_name_dict[int(input.team_id())]} Lineup Summary"
 
     @render.text
     def fantasy_title():
 
-            return f"{teams_name_dict[int(input.team_id())]} Spring Training Position Eligibility Tracker - Yahoo"
+            return f"{teams_name_dict[int(input.team_id())]} Position Eligibility Tracker - Yahoo"
 
     @render.text
     def player_title():
 
-            return f"{teams_name_dict[int(input.team_id())]} Spring Training Teammate Summary"
+            return f"{teams_name_dict[int(input.team_id())]} Teammate Summary"
 
 
     @reactive.calc
     def cached_data():
         team_id_select = int(input.team_id())
 
-        df_schedule = scraper.get_schedule(year_input=[2025],sport_id=[1],game_type=['S','E'])
+        df_schedule = scraper.get_schedule(year_input=[2025],sport_id=[1],game_type=['R'])
             
         # df_schedule_p = scraper.get_schedule(year_input=[2024],sport_id=[21],game_type=['E'])