[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 the code with the output in dataframe 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"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:

# MY SOLUTION BEGIN:
