[USER (data scientist)]: Cool, now I also want to set an upper limit. Let's say no one older than 55 years. Please generate a DataFrame of clients aged between 25 to 55 years.
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"clients_25_to_55: {clients_25_to_55}") 

# save data
pickle.dump(clients_25_to_55, open("./pred_result/clients_25_to_55.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Got it! Let's modify the previous code to include clients aged between 25 and 55:
'''
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:
