Add custom Streamlit tab styling to improve UI aesthetics

Implement CSS styling for Streamlit tabs to enhance visual appearance, including custom height, background colors, and hover states. This update improves the user interface by creating a more polished and consistent tab design.

app.py

@@ -71,6 +71,29 @@ all_sim_vars = ['NBA_GAME_PLAYER_POINTS', 'NBA_GAME_PLAYER_REBOUNDS', 'NBA_GAME_
 pick6_sim_vars = ['Points', 'Rebounds', 'Assists', 'Points + Assists + Rebounds', 'Points + Assists', 'Points + Rebounds', 'Assists + Rebounds']
 sim_all_hold = pd.DataFrame(columns=['Player', 'Team', 'Book', 'Prop Type', 'Prop', 'Mean_Outcome', 'Imp Over', 'Trending Over', 'Over%', 'Imp Under', 'Trending Under', 'Under%', 'Bet?', 'Edge'])
 
+st.markdown("""
+<style>
+
+	.stTabs [data-baseweb="tab-list"] {
+		gap: 2px;
+    }
+
+	.stTabs [data-baseweb="tab"] {
+		height: 50px;
+        white-space: pre-wrap;
+		background-color: #F0F2F6;
+		border-radius: 4px 4px 0px 0px;
+		gap: 1px;
+		padding-top: 10px;
+		padding-bottom: 10px;
+    }
+
+	.stTabs [aria-selected="true"] {
+  		background-color: #FFFFFF;
+	}
+
+</style>""", unsafe_allow_html=True)
+
 def calculate_poisson(row):
     mean_val = row['Mean_Outcome']
     threshold = row['Prop']