How can the `.max` function in the dropdown list based on the sorted value?

I have a set of data with the date.

Data:

Date    Minor   Major   Sales
01/01/2022  Clutlery    Kitchen     1000
01/01/2022  Tops    Clothes     100
08/01/2022  Shoes   Clothes     200
02/03/2022  Clutlery    Kitchen     2000
02/03/2022  Tops    Clothes     200
02/03/2022  Shoes   Clothes     400
12/05/2022  Rakes   Garden  6
20/05/2022  Cooking     Kitchen     8
25/05/2022  Clutlery    Kitchen     200
01/06/2022  Tops    Clothes     300
25/06/2022  Shoes   Clothes     400
25/06/2022  Turf    Garden  5
01/02/2022  Turf    Garden  1
01/02/2022  Hoses   Garden  2
02/04/2022  Turf    Garden  2
02/04/2022  Hoses   Garden  4

Using this method to get the month name from the month number.
Input:

month_labels = {1: 'Jan', 2: 'Feb', 3: 'Mar', 4: 'Apr', 5: 'May', 6: 'Jun', 7: 'Jul', 8: 'Aug',9: 'Sep', 10: 'Oct', 11: 'Nov', 12: 'Dec'}

df['month'] = pd.to_datetime(df['Date'], format = '%d/%m/%Y', errors='coerce').dt.month

x= df['month'].apply(lambda x: month_labels[x])        

month_cat = list(x.unique())

sort_mm = sorted(month_cat, key=lambda m: datetime.strptime(m, "%b"))

Output:
print (sort_mm)

[‘Jan’, ‘Feb’, ‘Mar’, ‘Apr’, ‘May’, ‘Jun’]

Data is able to sort when just print it but when put it into the dropdown’s value, the .max is not functioning. (.max is using to let the dropdown list auto display the latest month in the listing.)

dcc.Dropdown(id='month_dd', value= x.max(),
                      options = [{'label':x, 'value':x} 
                                for x in sort_mm])

Output sequence will be:
Apr, Feb, Jan, Jun, Mar, May

How can the .max function in the dropdown list based on the sorted value?