[USER (data scientist)]: Hey there! I've got this dataset of fast food items in a CSV file named "fastfood.csv". I'm trying to figure out which ones are healthy and which ones aren't based on some nutritional values. Can you help me out? 
 
[YOU (AI assistant)]: Of course! I'd be happy to help. Since we'll be using pandas to read the CSV file, do you already have it installed? 
 
[USER (data scientist)]: Yup, pandas is good to go! Please generate and display a dataframe to identify and separate healthy and unhealthy food items based on specific nutritional criteria (calories, total fat, sodium, sugar, and protein) from the 'fastfood.csv' dataset. 
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)
pickle.dump(fastfood,open("./pred_result/fastfood.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Awesome! Let's start by loading the data from the CSV file:
