Update app.py

app.py

@@ -110,24 +110,18 @@ import pandas as pd
 import joblib
 from collections import OrderedDict
 
-# Load models and encoders
+# Load models 
 food_model = joblib.load("goal_classifier.pkl")
 exercise_model = joblib.load("exercise_classifier.pkl")
-# encoders = joblib.load("encoders.pkl")
-le_gender = joblib.load['gender']
-le_workout = joblib.load['workout']
-le_goal = joblib.load['goal']
-le_exercise = joblib.load['exercise']
-preprocessor = joblib.load['preprocessor']
 
-df = pd.read_csv("fitness_meal_plan_with_exercises.csv")
 
-# # Load individual encoders
-# le_gender = encoders['gender']
-# le_workout = encoders['workout']
-# le_goal = encoders['goal']
-# le_exercise = encoders['exercise']
-# preprocessor = encoders['preprocessor']
+le_gender = joblib.load['gender.pkl']
+le_workout = joblib.load['workout.pkl']
+le_goal = joblib.load['goal.pkl']
+le_exercise = joblib.load['exercise.pkl']
+preprocessor = joblib.load['preprocessor.pkl']
+
+df = pd.read_csv("monthly_fitness_dataset_user200.csv")
 
 def calculate_bmi(weight_kg, height_cm):
     return weight_kg / ((height_cm / 100) ** 2)
@@ -218,4 +212,7 @@ if __name__ == "__main__":
     
     
          
+    
+    
+