05_Interacting_with_Campaigns_and_Filters.ipynb - loading in .csv file with title cast as str and then reference as int

noticed I was getting key errors when running through the notebook:
[05_Interacting_with_Campaigns_and_Filters.ipynb](https://github.com/aws-samples/amazon-personalize-samples/blob/master/next_steps/workshops/POC_in_a_box/05_Interacting_with_Campaigns_and_Filters.ipynb)

when reading in the dataframe from the .csv, we cast title( a unique integer value) as 'str' - but all the following code references it as being cast as 'int'.
Easy fix is to change the following:

# Create a dataframe for the items by reading in the correct source CSV
items_df = pd.read_csv(dataset_dir + '/movies.csv', sep=',', usecols=[0,1], encoding='latin-1', dtype={'movieId': "object", 'title': "**str**"},index_col=0)
to
# Create a dataframe for the items by reading in the correct source CSV
items_df = pd.read_csv(dataset_dir + '/movies.csv', sep=',', usecols=[0,1], encoding='latin-1', dtype={'movieId': "object", 'title': "**int**"},index_col=0)

Open next_steps/workshops/POC_in_a_box/05_Interacting_with_Campaigns_and_Filters.ipynb and inspect the items dataframe loading cell. Compare the declared title dtype with the later integer references, then run the notebook from that step to confirm the key errors are gone and the item identifiers remain consistent.

Written by the indexing model from the issue text.