Update stack size selection in 'Stack Finder' tab to use QB-based options and refine position filtering logic in Streamlit app

src/streamlit_app.py

@@ -195,13 +195,13 @@ if selected_tab == 'Stack Finder':
                 max_sal2 = st.number_input('Max Salary', min_value = 5000, max_value = 50000, value = 35000, step = 100, key='max_sal2')
             elif site_var == 'Fanduel':
                 max_sal2 = st.number_input('Max Salary', min_value = 5000, max_value = 35000, value = 25000, step = 100, key='max_sal2')
-            size_var2 = st.selectbox('What size of stacks are you analyzing?', options = ['3-man', '4-man', '5-man'])
-            if size_var2 == '3-man':
+            size_var2 = st.selectbox('What size of stacks are you analyzing?', options = ['QB+1', 'QB+2', 'QB+3'])
+            if size_var2 == 'QB+1':
+                stack_size = 2
+            if size_var2 == 'QB+2':
                 stack_size = 3
-            if size_var2 == '4-man':
+            if size_var2 == 'QB+3':
                 stack_size = 4
-            if size_var2 == '5-man':
-                stack_size = 5
 
             team_dict = dict(zip(raw_baselines.Player, raw_baselines.Team))
             proj_dict = dict(zip(raw_baselines.Player, raw_baselines.Median))
@@ -236,7 +236,7 @@ if selected_tab == 'Stack Finder':
 
         stack_hold_container = st.empty()
         comb_list = []
-        raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
+        raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2))]
 
         # Create a position dictionary mapping players to their eligible positions
         pos_dict = dict(zip(raw_baselines.Player, raw_baselines.Position))