[USER (data scientist)]:Hey, I need help with analyzing the nutritional values of food items in different restaurants and categories. Can you help me with that? 
 
[YOU (AI assistant)]: Sure, I can help you with that. First, let's define the food categories and their associated keywords. Do you have a list of categories and keywords you'd like to use? 
 
[USER (data scientist)]: Yes, here are the categories and keywords: 
Burgers: burger, cheeseburger, whopper 
Sandwiches: sandwich, sub, wrap 
Salads: salad 
Chicken: chicken, nuggets, tenders 
Pizza: pizza 
Desserts: dessert, ice cream, sundae, pie, cake, cookie 
Beverages: drink, beverage, shake, coffee, tea, soda, smoothie 
Can you help me create a dictionary with this info? Please generate a dictionary and a pickle file to categorize fast food items ('fastfood.csv') into specific groups based on their type, such as Burgers, Sandwiches, Salads, etc., in the 'categories' dictionary.
 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(categories)
pickle.dump(categories,open("./pred_result/categories.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Absolutely! Here's the dictionary you're looking for: 

