[USER (data scientist)]:Sweet! Lastly, how do I make separate dataframes for each category? Please filter and categorize the 'fastfood' DataFrame into vegetarian, vegan, and gluten-free items, and serialize these filtered DataFrames for persistent storage.
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(vegetarian_items)
pickle.dump(vegetarian_items,open("./pred_result/vegetarian_items.pkl","wb"))

print(vegan_items)
pickle.dump(vegan_items,open("./pred_result/vegan_items.pkl","wb"))

print(gluten_free_items)
pickle.dump(gluten_free_items,open("./pred_result/gluten_free_items.pkl","wb"))

---END CODE TEMPLATE---
 
[YOU (AI assistant)]: Easy peasy! Just filter your original DataFrame based on the new columns we created. Here's how: 
