How to calculate the total count of characters in a python set

I initially had 1 doubt, but while writing this question I got another doubt.
So I have a dataset as follows:

A. I have used the following code to get the above data groupedby (apologies for not including the id column):

dff = df_new.groupby('id').agg({'brand':'first','title':'first','generic_keywords':'first',
                                  'revised_keywords': lambda x: set(x)})

so my 1st query is, how can I have the 'revised_keywords' without space after the commas ?
expected output would look something like this (here showing for just the 1st row):

{highland cow christmas ornament,cow tree ornament,highland cow christmas decoration,highland cow ornament,cow ornament tree}

Now coming to my 2nd query and main query, once I get the rows updated as above (without spaces after the commas), how can I calculate the total count of characters for each row ?
len() is just giving me the count of strings.

So the output looks something like this:

5
16
19

But the expected output would look something like this:

123
261
347

(calculated in excel without the spaces after each comma, but the spaces between the words and commas are calculated):

Can I please get some help on this ?

TIA

For the first issue which is comma-separated space can be resolved by simple modification in your lambda function by using ','.join(set(x)) because set is an object and it will print the content originally.

For the count issue, you can use

.apply(lambda x: sum(len(word) for words in x for word in words.split(',')))

This will help you in counting the alphabet.

This will also be helpful for you.

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