done

app.py

@@ -59,6 +59,7 @@ print(df)
 new_rows = []
 for index, row in df.iterrows():
     league = ""
+    pos = ""
     if row['league_es1']:
         league = "La Liga"
     elif row['league_fr1']:
@@ -69,6 +70,15 @@ for index, row in df.iterrows():
         league = "Serie A"
     elif row['league_l1']:
         league = "Bundesliga"
+        
+    if row['position_attack']:
+        pos = "Attack"
+    elif row['position_defender']:
+        pos = "Defender"
+    elif row['position_goalkeeper']:
+        pos = "Goalkeeper"
+    elif row['position_midfield']:
+        pos = "Midfield"
 
     new_row = {
         "Player name": row["player_name"],
@@ -85,7 +95,10 @@ for index, row in df.iterrows():
         "Team conceded goals": row["opponent_goals"],
         "Team clean sheets": row["clean_sheets"],
         "Actual market value (EUR)": row["market_value_in_eur"],
-        "Model predicted market value (EUR)": "123123123"  # Replace this with your actual predicted value
+        "Model predicted market value (EUR)": 
+            valuation_predictor(
+                    row["goals"], row["assists"], row["yellow_cards"], row["red_cards"], row["minutes_played"], row["height_in_cm"], row["age"], row["months_left"], row["own_goals"], row["opponent_goals"], row["clean_sheets"], pos, league
+                    )
     }
 
     # Append new row to df_present