Update app.py
Browse files
app.py
CHANGED
|
@@ -10,23 +10,23 @@ def load_data(file_url):
|
|
| 10 |
return pd.read_excel(file_path, engine='openpyxl')
|
| 11 |
|
| 12 |
# Function to generate the weekly menu
|
| 13 |
-
def generate_menu(data, season,
|
| 14 |
# Filter season data
|
| 15 |
season_data = data[(data['Season'] == season) | (data['Season'] == 'All Seasons')]
|
| 16 |
|
| 17 |
# Adjust the menu based on BMI category
|
| 18 |
if bmi_category == "Underweight":
|
| 19 |
# Suggest high-calorie dishes like meat, rice, and calorie-dense vegetables
|
| 20 |
-
preferred_dishes = ['Meat', 'Rice', 'Sabzi', 'Chicken']
|
| 21 |
elif bmi_category == "Normal Weight":
|
| 22 |
# Balanced meals with a variety of dishes
|
| 23 |
-
preferred_dishes = ['Sabzi', 'Rice', 'Daal', 'Chicken', 'Fish']
|
| 24 |
elif bmi_category == "Overweight":
|
| 25 |
# Focus on lean proteins and vegetables, limiting carbs
|
| 26 |
-
preferred_dishes = ['Sabzi', 'Chicken', 'Fish', 'Meat']
|
| 27 |
else: # Obese category
|
| 28 |
# Focus on lean proteins, vegetables, and smaller portions of carbs
|
| 29 |
-
preferred_dishes = ['Sabzi', 'Daal', 'Chicken', 'Fish']
|
| 30 |
|
| 31 |
# Select dishes based on the BMI category and preferences
|
| 32 |
menu = []
|
|
@@ -43,13 +43,17 @@ def generate_menu(data, season, sub_category_pref, outings, bmi_category):
|
|
| 43 |
side_dishes = data[data['Course'] == 'Side Dish'].sample(2).to_dict('records')
|
| 44 |
menu.extend(side_dishes)
|
| 45 |
|
| 46 |
-
#
|
| 47 |
menu_df = pd.DataFrame(menu)
|
|
|
|
|
|
|
| 48 |
lunch_menu = menu_df.iloc[:len(menu_df)//2]
|
| 49 |
dinner_menu = menu_df.iloc[len(menu_df)//2:]
|
| 50 |
|
|
|
|
| 51 |
total_cost = menu_df["Cost per 4 persons"].sum()
|
| 52 |
|
|
|
|
| 53 |
lunch_menu = lunch_menu[["Name"]]
|
| 54 |
dinner_menu = dinner_menu[["Name"]]
|
| 55 |
|
|
@@ -57,25 +61,23 @@ def generate_menu(data, season, sub_category_pref, outings, bmi_category):
|
|
| 57 |
|
| 58 |
# Function to calculate BMI and recommend diet for adults
|
| 59 |
def bmi_insights(weight, height_cm):
|
| 60 |
-
# Convert height from cm to meters
|
| 61 |
height_m = height_cm / 100
|
| 62 |
bmi = weight / (height_m ** 2)
|
| 63 |
|
| 64 |
if bmi < 18.5:
|
| 65 |
-
return f"Your BMI is {bmi:.2f}. You are underweight. A diet rich in proteins and healthy fats would be beneficial.
|
| 66 |
elif 18.5 <= bmi < 24.9:
|
| 67 |
-
return f"Your BMI is {bmi:.2f}. You are in the normal weight range. Maintain a balanced diet
|
| 68 |
elif 25 <= bmi < 29.9:
|
| 69 |
-
return f"Your BMI is {bmi:.2f}. You are overweight. A diet with fewer carbs and more lean proteins can help manage your weight.
|
| 70 |
else:
|
| 71 |
-
return f"Your BMI is {bmi:.2f}. You are obese. A calorie-restricted diet with a focus on whole foods
|
| 72 |
|
| 73 |
# Function to provide general diet recommendation for infants
|
| 74 |
def infant_diet_recommendation():
|
| 75 |
return (
|
| 76 |
"For infants (up to 12 months), breast milk or formula should be the primary source of nutrition. "
|
| 77 |
"Around 6 months, you can start introducing solid foods, including pureed fruits, vegetables, and cereals. "
|
| 78 |
-
"Ensure a variety of textures as they grow and introduce protein-rich foods, like pureed meat or lentils. "
|
| 79 |
"Consult with your pediatrician for more personalized advice."
|
| 80 |
)
|
| 81 |
|
|
@@ -108,6 +110,17 @@ def main():
|
|
| 108 |
bmi_message, bmi_category = bmi_insights(weight, height_cm)
|
| 109 |
st.sidebar.success(bmi_message)
|
| 110 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 111 |
# Google Drive file URL
|
| 112 |
file_url = 'https://drive.google.com/uc?id=1BJFao3C6p8k3_KjLfmDo5KbNMrTs7MRo' # Replace with actual file link
|
| 113 |
data = load_data(file_url)
|
|
@@ -118,23 +131,8 @@ def main():
|
|
| 118 |
|
| 119 |
outings = st.number_input("Enter the number of outings this week", min_value=0, max_value=14, value=0)
|
| 120 |
|
| 121 |
-
st.header("How many dishes from each sub-category would you like?")
|
| 122 |
-
sub_category_pref = {
|
| 123 |
-
'Sabzi': st.number_input("Number of Sabzi dishes", min_value=0, value=0),
|
| 124 |
-
'Rice': st.number_input("Number of Rice dishes", min_value=0, value=0),
|
| 125 |
-
'Daal': st.number_input("Number of Daal dishes", min_value=0, value=0),
|
| 126 |
-
'Meat': st.number_input("Number of Meat dishes", min_value=0, value=0),
|
| 127 |
-
'Chicken': st.number_input("Number of Chicken dishes", min_value=0, value=0),
|
| 128 |
-
'Fish': st.number_input("Number of Fish dishes", min_value=0, value=0)
|
| 129 |
-
}
|
| 130 |
-
|
| 131 |
-
total_main_courses = sum(sub_category_pref.values()) + outings
|
| 132 |
-
if total_main_courses > 14:
|
| 133 |
-
st.warning("The total number of main courses exceeds 14! Please adjust your preferences.")
|
| 134 |
-
return
|
| 135 |
-
|
| 136 |
if st.button("Generate Menu"):
|
| 137 |
-
lunch_menu, dinner_menu, total_cost = generate_menu(data, season,
|
| 138 |
|
| 139 |
st.header("Weekly Menu")
|
| 140 |
st.subheader("Lunch Menu")
|
|
|
|
| 10 |
return pd.read_excel(file_path, engine='openpyxl')
|
| 11 |
|
| 12 |
# Function to generate the weekly menu
|
| 13 |
+
def generate_menu(data, season, outings, bmi_category):
|
| 14 |
# Filter season data
|
| 15 |
season_data = data[(data['Season'] == season) | (data['Season'] == 'All Seasons')]
|
| 16 |
|
| 17 |
# Adjust the menu based on BMI category
|
| 18 |
if bmi_category == "Underweight":
|
| 19 |
# Suggest high-calorie dishes like meat, rice, and calorie-dense vegetables
|
| 20 |
+
preferred_dishes = ['Meat', 'Rice', 'Sabzi', 'Chicken', 'Fish']
|
| 21 |
elif bmi_category == "Normal Weight":
|
| 22 |
# Balanced meals with a variety of dishes
|
| 23 |
+
preferred_dishes = ['Sabzi', 'Rice', 'Daal', 'Chicken', 'Fish', 'Meat']
|
| 24 |
elif bmi_category == "Overweight":
|
| 25 |
# Focus on lean proteins and vegetables, limiting carbs
|
| 26 |
+
preferred_dishes = ['Sabzi', 'Chicken', 'Fish', 'Lean Meat', 'Daal']
|
| 27 |
else: # Obese category
|
| 28 |
# Focus on lean proteins, vegetables, and smaller portions of carbs
|
| 29 |
+
preferred_dishes = ['Sabzi', 'Daal', 'Chicken', 'Fish', 'Vegetables']
|
| 30 |
|
| 31 |
# Select dishes based on the BMI category and preferences
|
| 32 |
menu = []
|
|
|
|
| 43 |
side_dishes = data[data['Course'] == 'Side Dish'].sample(2).to_dict('records')
|
| 44 |
menu.extend(side_dishes)
|
| 45 |
|
| 46 |
+
# Create DataFrame for the menu
|
| 47 |
menu_df = pd.DataFrame(menu)
|
| 48 |
+
|
| 49 |
+
# Split the menu into lunch and dinner
|
| 50 |
lunch_menu = menu_df.iloc[:len(menu_df)//2]
|
| 51 |
dinner_menu = menu_df.iloc[len(menu_df)//2:]
|
| 52 |
|
| 53 |
+
# Calculate the total cost
|
| 54 |
total_cost = menu_df["Cost per 4 persons"].sum()
|
| 55 |
|
| 56 |
+
# Only include the names of the dishes for lunch and dinner menus
|
| 57 |
lunch_menu = lunch_menu[["Name"]]
|
| 58 |
dinner_menu = dinner_menu[["Name"]]
|
| 59 |
|
|
|
|
| 61 |
|
| 62 |
# Function to calculate BMI and recommend diet for adults
|
| 63 |
def bmi_insights(weight, height_cm):
|
|
|
|
| 64 |
height_m = height_cm / 100
|
| 65 |
bmi = weight / (height_m ** 2)
|
| 66 |
|
| 67 |
if bmi < 18.5:
|
| 68 |
+
return f"Your BMI is {bmi:.2f}. You are underweight. A diet rich in proteins and healthy fats would be beneficial.", "Underweight"
|
| 69 |
elif 18.5 <= bmi < 24.9:
|
| 70 |
+
return f"Your BMI is {bmi:.2f}. You are in the normal weight range. Maintain a balanced diet.", "Normal Weight"
|
| 71 |
elif 25 <= bmi < 29.9:
|
| 72 |
+
return f"Your BMI is {bmi:.2f}. You are overweight. A diet with fewer carbs and more lean proteins can help manage your weight.", "Overweight"
|
| 73 |
else:
|
| 74 |
+
return f"Your BMI is {bmi:.2f}. You are obese. A calorie-restricted diet with a focus on whole foods and lean proteins is recommended.", "Obese"
|
| 75 |
|
| 76 |
# Function to provide general diet recommendation for infants
|
| 77 |
def infant_diet_recommendation():
|
| 78 |
return (
|
| 79 |
"For infants (up to 12 months), breast milk or formula should be the primary source of nutrition. "
|
| 80 |
"Around 6 months, you can start introducing solid foods, including pureed fruits, vegetables, and cereals. "
|
|
|
|
| 81 |
"Consult with your pediatrician for more personalized advice."
|
| 82 |
)
|
| 83 |
|
|
|
|
| 110 |
bmi_message, bmi_category = bmi_insights(weight, height_cm)
|
| 111 |
st.sidebar.success(bmi_message)
|
| 112 |
|
| 113 |
+
# Dropdown for selecting medical condition(s)
|
| 114 |
+
medical_condition = st.sidebar.selectbox(
|
| 115 |
+
"Select any medical condition", [
|
| 116 |
+
"None", "Diabetes", "Celiac Disease", "Hypertension", "Heart Disease", "Obesity",
|
| 117 |
+
"Cholesterol Disorders", "IBS", "GERD", "Peptic Ulcers", "Gout", "Lactose Intolerance",
|
| 118 |
+
"Kidney Disease", "Hypothyroidism", "Anemia", "Food Allergies", "Acid Reflux",
|
| 119 |
+
"Crohn's Disease", "Osteoporosis", "Autoimmune Diseases", "Migraines", "PCOS",
|
| 120 |
+
"CFS", "Mental Health"
|
| 121 |
+
]
|
| 122 |
+
)
|
| 123 |
+
|
| 124 |
# Google Drive file URL
|
| 125 |
file_url = 'https://drive.google.com/uc?id=1BJFao3C6p8k3_KjLfmDo5KbNMrTs7MRo' # Replace with actual file link
|
| 126 |
data = load_data(file_url)
|
|
|
|
| 131 |
|
| 132 |
outings = st.number_input("Enter the number of outings this week", min_value=0, max_value=14, value=0)
|
| 133 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 134 |
if st.button("Generate Menu"):
|
| 135 |
+
lunch_menu, dinner_menu, total_cost = generate_menu(data, season, outings, bmi_category)
|
| 136 |
|
| 137 |
st.header("Weekly Menu")
|
| 138 |
st.subheader("Lunch Menu")
|