[USER (data scientist)]:Nice! So, how do I use these functions with my dataset? Please enrich the DataFrame 'fastfood' by categorizing menu items based on their dietary attributes—vegetarian, vegan, and gluten-free—and persist these categorizations for future reference.
My template of code snippet is:

---BEGIN CODE TEMPLATE--- 

import pandas as pd
import pickle

# Read the fastfood data 
fastfood = pd.read_csv("fastfood.csv")  

# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]
</code1>
# YOUR SOLUTION END: 

print(fastfood['vegetarian'])
pickle.dump(fastfood['vegetarian'],open("./pred_result/fastfood['vegetarian'].pkl","wb"))

print(fastfood['vegan'])
pickle.dump(fastfood['vegan'],open("./pred_result/fastfood['vegan'].pkl","wb"))

print(fastfood['gluten_free'])
pickle.dump(fastfood['gluten_free'],open("./pred_result/fastfood['gluten_free'].pkl","wb"))
 
[YOU (AI assistant)]: Assuming your dataset is in a DataFrame called fastfood and the item names are in a column called 'item', you can apply these functions like this: 

