[USER (data scientist)]: Nice one! But I only need the credit_amount and duration columns from this filtered data. How do I get those? Please generate a DataFrame representing a filtered subset of the 'high_credit_long_duration' group in the 'credit_customers' dataset, including only the 'credit_amount' and 'duration' columns.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print(f"high_credit_long_duration: {high_credit_long_duration_filtered}") 

# save data
pickle.dump(high_credit_long_duration_filtered, open("./pred_result/high_credit_long_duration_filtered.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Easy peasy! Use this code to extract the columns you need:
'''
import pandas as pd 
import pickle
from decision_company import read_csv_file, 

# please import the necessary private functions from decision_company first

# Load the dataset 
credit_customers = read_csv_file("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
