Update app.py
Browse files
app.py
CHANGED
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@@ -10,27 +10,40 @@ def load_data(file_url):
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gdown.download(file_url, file_path, quiet=False)
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return pd.read_excel(file_path, engine='openpyxl')
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# Function to generate the weekly menu
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def generate_menu(data, season, sub_category_pref, outings, dietary_restrictions):
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season_data = data[(data['Season'] == season) | (data['Season'] == 'All Seasons')]
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meals_needed = 14 - outings # Main Courses (14) minus outings
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menu = []
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for sub_category, freq in sub_category_pref.items():
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sub_category_dishes = season_data[season_data['Sub-Category'] == sub_category]
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menu = menu[:meals_needed]
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# Filter out dishes based on dietary restrictions
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if dietary_restrictions == 'Diabetic':
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menu = [dish for dish in menu if 'sugar' not in dish['Ingredients'].lower()]
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elif dietary_restrictions == 'Gluten-Free':
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menu = [dish for dish in menu if 'gluten' not in dish['Ingredients'].lower()]
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elif dietary_restrictions == 'Low-Sodium':
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menu = [dish for dish in menu if 'sodium' not in dish['Ingredients'].lower()]
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outing_dishes = data[data['Home Made / Outing'] == 'Outing'].sample(outings).to_dict('records')
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menu.extend(outing_dishes)
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@@ -47,7 +60,7 @@ def generate_menu(data, season, sub_category_pref, outings, dietary_restrictions
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lunch_menu = lunch_menu[["Name"]]
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dinner_menu = dinner_menu[["Name"]]
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return lunch_menu, dinner_menu, total_cost
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# Function to calculate BMI and recommend diet
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def bmi_insights(weight, height_cm):
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@@ -64,21 +77,8 @@ def bmi_insights(weight, height_cm):
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return f"Your BMI is {bmi:.2f}. You are obese. A calorie-restricted diet with lean proteins is recommended."
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# Function for Smart Inventory Management (Pantry Sync)
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def pantry_sync(available_ingredients
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suggested_dishes = []
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for dish in data.to_dict('records'):
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ingredients = dish.get('Ingredients', '').split(',')
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if all(ingredient in available_ingredients for ingredient in ingredients):
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suggested_dishes.append(dish)
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return pd.DataFrame(suggested_dishes)
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# Function for Shopping List Generator
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def generate_shopping_list(menu):
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ingredients = []
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for dish in menu:
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ingredients.extend(dish['Ingredients'].split(','))
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return sorted(set(ingredients))
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# Main workflow
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def main():
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@@ -125,8 +125,15 @@ def main():
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st.warning("The total number of main courses exceeds 14! Please adjust your preferences.")
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return
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if st.button("Generate Menu"):
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lunch_menu, dinner_menu, total_cost = generate_menu(data, season, sub_category_pref, outings, dietary_restrictions)
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st.header("Weekly Menu")
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st.subheader("Lunch Menu")
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@@ -137,6 +144,11 @@ def main():
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st.subheader(f"Total Expenditure for the Week: PKR {total_cost}")
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# Save menu to Excel
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with pd.ExcelWriter("weekly_menu_split.xlsx") as writer:
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lunch_menu.to_excel(writer, sheet_name="Lunch", index=False)
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@@ -144,20 +156,5 @@ def main():
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st.success("Weekly menu saved as 'weekly_menu_split.xlsx'")
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# Pantry sync section
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st.header("Smart Pantry Sync")
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available_ingredients = st.text_area("Enter available ingredients in your pantry (comma separated)")
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if available_ingredients:
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available_ingredients = [item.strip() for item in available_ingredients.split(',')]
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pantry_suggested_dishes = pantry_sync(available_ingredients, data)
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st.subheader("Suggested Dishes Based on Pantry Ingredients")
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st.write(pantry_suggested_dishes)
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# Shopping list section
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st.header("Generate Shopping List")
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if st.button("Generate Shopping List"):
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shopping_list = generate_shopping_list(lunch_menu.to_dict('records') + dinner_menu.to_dict('records'))
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st.write("Shopping List:", shopping_list)
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if __name__ == "__main__":
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main()
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gdown.download(file_url, file_path, quiet=False)
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return pd.read_excel(file_path, engine='openpyxl')
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# Function to generate the weekly menu based on BMI, dietary restriction, and pantry sync
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def generate_menu(data, season, sub_category_pref, outings, dietary_restrictions, pantry_ingredients):
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season_data = data[(data['Season'] == season) | (data['Season'] == 'All Seasons')]
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meals_needed = 14 - outings # Main Courses (14) minus outings
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menu = []
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shopping_list = set() # Track missing ingredients
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for sub_category, freq in sub_category_pref.items():
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sub_category_dishes = season_data[season_data['Sub-Category'] == sub_category]
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# Filter dishes based on dietary restrictions
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if dietary_restrictions == 'Diabetic':
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sub_category_dishes = sub_category_dishes[~sub_category_dishes['Ingredients'].str.contains('sugar', case=False, na=False)]
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elif dietary_restrictions == 'Gluten-Free':
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sub_category_dishes = sub_category_dishes[~sub_category_dishes['Ingredients'].str.contains('gluten', case=False, na=False)]
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elif dietary_restrictions == 'Low-Sodium':
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sub_category_dishes = sub_category_dishes[~sub_category_dishes['Ingredients'].str.contains('sodium', case=False, na=False)]
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# Sample the dishes based on the user preference
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selected_dishes = sub_category_dishes.sample(min(freq, len(sub_category_dishes)))
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# Check the ingredients for the pantry and add missing items to the shopping list
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for dish in selected_dishes.to_dict('records'):
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ingredients = dish.get('Ingredients', '').split(',')
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for ingredient in ingredients:
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if ingredient.strip().lower() not in pantry_ingredients:
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shopping_list.add(ingredient.strip().lower())
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menu.append(dish)
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menu = menu[:meals_needed]
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outing_dishes = data[data['Home Made / Outing'] == 'Outing'].sample(outings).to_dict('records')
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menu.extend(outing_dishes)
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lunch_menu = lunch_menu[["Name"]]
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dinner_menu = dinner_menu[["Name"]]
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return lunch_menu, dinner_menu, total_cost, shopping_list
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# Function to calculate BMI and recommend diet
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def bmi_insights(weight, height_cm):
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return f"Your BMI is {bmi:.2f}. You are obese. A calorie-restricted diet with lean proteins is recommended."
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# Function for Smart Inventory Management (Pantry Sync)
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def pantry_sync(available_ingredients):
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return set(available_ingredients)
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# Main workflow
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def main():
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st.warning("The total number of main courses exceeds 14! Please adjust your preferences.")
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return
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# Pantry Sync
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pantry_ingredients_input = st.text_area("Enter available ingredients in your pantry (comma separated)")
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if pantry_ingredients_input:
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pantry_ingredients = pantry_sync(pantry_ingredients_input.split(','))
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else:
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pantry_ingredients = set()
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if st.button("Generate Menu"):
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lunch_menu, dinner_menu, total_cost, shopping_list = generate_menu(data, season, sub_category_pref, outings, dietary_restrictions, pantry_ingredients)
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st.header("Weekly Menu")
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st.subheader("Lunch Menu")
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st.subheader(f"Total Expenditure for the Week: PKR {total_cost}")
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# Shopping list for missing ingredients
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if shopping_list:
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st.subheader("Shopping List for Missing Ingredients")
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st.write(sorted(shopping_list))
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# Save menu to Excel
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with pd.ExcelWriter("weekly_menu_split.xlsx") as writer:
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lunch_menu.to_excel(writer, sheet_name="Lunch", index=False)
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st.success("Weekly menu saved as 'weekly_menu_split.xlsx'")
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if __name__ == "__main__":
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main()
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