[USER (data scientist)]: Hey, I'm working with some client data and I need to find clients with multiple credits and high installment commitments. Can you help me out? 

[YOU (AI assistant)]: Of course! I'd be happy to help. Do you have a DataFrame with the client info, like 'existing_credits' and 'installment_commitment' columns? 

[USER (data scientist)]: Yeah, I've got a DataFrame calledh'igh_credit_long_duration'. Please generate a DataFrame of customers with multiple credits and high installment commitments.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print(multiple_credits_high_commitment)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Awesome! Let's start by filtering those clients. We'll check if they have more than one existing credit and if their installment commitment is above the median. Here's what you can do:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
