Update breed_recommendation.py

breed_recommendation.py

@@ -130,17 +130,20 @@ def create_recommendation_tab(UserPreferences, get_breed_recommendations, format
             try:
                 user_prefs = UserPreferences(
                     living_space=args[0],
-                    exercise_time=args[1],
-                    grooming_commitment=args[2],
-                    experience_level=args[3],
-                    has_children=args[4],
-                    noise_tolerance=args[5],
-                    children_age=args[6] if args[4] else None,
+                    yard_access=args[1],       
+                    exercise_time=args[2],
+                    exercise_type=args[3],      
+                    grooming_commitment=args[4],
+                    experience_level=args[5],
+                    time_availability=args[6],   
+                    has_children=args[7],
+                    children_age=args[8] if args[7] else None,
+                    noise_tolerance=args[9],
                     space_for_play=True if args[0] != "apartment" else False,
                     other_pets=False,
                     climate="moderate",
-                    health_sensitivity="medium",  
-                    barking_acceptance=args[5]    
+                    health_sensitivity="medium",
+                    barking_acceptance=args[9]
                 )
 
                 recommendations = get_breed_recommendations(user_prefs, top_n=10)
@@ -487,12 +490,15 @@ def create_recommendation_tab(UserPreferences, get_breed_recommendations, format
             fn=on_find_match_click,
             inputs=[
                 living_space,
+                yard_access,        
                 exercise_time,
+                exercise_type,      
                 grooming_commitment,
                 experience_level,
+                time_availability, 
                 has_children,
-                noise_tolerance,
-                children_age
+                children_age,
+                noise_tolerance
             ],
             outputs=recommendation_output
         )