Upload app.py

app.py

@@ -23,7 +23,7 @@ def load_data_and_model():
         if col in df.columns:
             df.rename(columns={col: 'market_value_in_eur'}, inplace=True)
     
-    # CRITICAL: Drop any duplicate columns created by renaming to avoid "reindex on duplicate labels"
+    # CRITICAL: Drop any duplicate columns created by renaming
     df = df.loc[:, ~df.columns.duplicated()].copy()
     
     # Load model
@@ -68,6 +68,7 @@ if input_mode == "Select Existing Player":
     if name_col:
         player_list = sorted(df[name_col].unique().tolist())
         selected_name = st.sidebar.selectbox("Target Database Player", player_list)
+        # Using [0:1] to keep it as a DataFrame
         player_data = df[df[name_col] == selected_name].iloc[0:1].copy()
     else:
         st.sidebar.error("Player names column not found in CSV.")
@@ -76,10 +77,12 @@ if input_mode == "Select Existing Player":
     st.sidebar.markdown("---")
     st.sidebar.markdown("**Simulation Parameters** (Overrides)")
     
+    # Use .iloc[0] to avoid KeyError: 0 when the original index is preserved
     contract_default = max(0.5, min(6.0, float(player_data['Contract_Years_Left'].iloc[0])))
     age_default = max(16, min(40, int(player_data['Age'].iloc[0])))
+    
     injury_col = next((c for c in ['Injury_Days_Total_24m', 'Injury_Days'] if c in player_data.columns), None)
-    injury_default = 0
+    injury_default = 10
     if injury_col:
         injury_default = max(0, min(500, int(player_data[injury_col].iloc[0])))