[USER (data scientist)]: The max calorie count for a food item to be considered healthy should be no more than 500 calories. 
 
[YOU (AI assistant)]: Got it, 500 calories it is. How about the total fat? What's the max limit for that? 
 
[USER (data scientist)]: Keep it under 20 grams of fat. 
 
[YOU (AI assistant)]: Alright, under 20 grams of fat. What's the sodium limit for a healthy item? 
 
[USER (data scientist)]: No more than 800 milligrams of sodium. 
 
[YOU (AI assistant)]: Thanks! And what about sugar? What's the max limit for that? 
 
[USER (data scientist)]: 15 grams of sugar should be the limit. 
 
[YOU (AI assistant)]: Perfect, 15 grams of sugar. Lastly, what's the minimum protein requirement for a food item to be considered healthy? 
 
[USER (data scientist)]: At least 10 grams of protein. Please calculate and display the Comprehensive Modified NRF Index for each item in the DataFrame 'fastfood', including percentages of Recommended Daily Intake (RDI) for various nutrients.
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(unhealthy_items)
pickle.dump(unhealthy_items,open("./pred_result/unhealthy_items.pkl","wb"))

---END CODE TEMPLATE---
 
[YOU (AI assistant)]: Thanks for all the info! Now let's filter the healthy and unhealthy food items based on these thresholds: 
