[USER (data scientist)]: Cool! Now, how do I filter the dataset to keep only clients with amounts and durations higher than these values? Please generate a DataFrame representing customers in the 'credit_customers' dataset with credit amounts and durations greater than their respective 75th percentile values.
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}") 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: You got it! Just use this code to filter the dataset based on the calculated values:
'''
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:
