[USER (data scientist)]: Hey there! I've got this dataset called credit_customers, and I wanna find clients with high credit amounts and long loan durations.

[YOU (AI assistant)]: Absolutely! Let's break it down. First, we need to calculate the 75th percentile for credit_amount and duration. Need a hand with that? 

[USER (data scientist)]: Yeah, show me how to get the 75th percentile for both of those. Please generate the code with the output in [value, value] type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd  
import pickle
from decision_company import read_csv_file, fetch_column, calculate_quantile, create_condition, logical_and, filter_by_condition, convert_to_tuples

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

print(f"credit_amount_75th: {credit_amount_75th}, duration_75th: {duration_75th}")  

# save data
pickle.dump(credit_amount_75th, open("./pred_result/credit_amount_75th.pkl","wb"))

# save data
pickle.dump(duration_75th, open("./pred_result/duration_75th.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! Here's how you can calculate the 75th percentile for credit_amount and duration: 

# MY SOLUTION BEGIN:
