[USER (data scientist)]: Hey, I've got this dataset of fast food items, and I wanna sort them into vegetarian, vegan, and gluten-free categories. Can you help me out? 
 
[YOU (AI assistant)]: Absolutely! Let's start by listing some keywords for each category. For vegetarian, we can exclude items with chicken, beef, pork, bacon, fish, and shrimp. For vegan, we'll exclude all vegetarian keywords plus egg, cheese, milk, cream, and honey. And for gluten-free, we'll exclude items with bread, bun, roll, muffin, wrap, pizza, pasta, noodle, pancake, waffle, cookie, cake, pastry, sandwich, bagel, pretzel, and doughnut. Does that work for you? 
 
[USER (data scientist)]: Yeah, that's perfect. Show me the code for these keywords. Please generate and save lists for 'vegetarian_keywords', 'vegan_keywords', and 'gluten_keywords' from the 'fastfood.csv' dataset to identify ingredients related to dietary restrictions.
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_keywords)
pickle.dump(vegetarian_keywords,open("./pred_result/vegetarian_keywords.pkl","wb"))

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

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

---END CODE TEMPLATE---
 
[YOU (AI assistant)]: You got it! Here's the code to define the keywords for each category: 

