Combine Date and Time inputs in Streamlit with dataframe time column

I have a dataframe that has a column 'Time' in seconds:


I want the user to input the date with a timestamp (eg format: 25/09/2022 12:30:00). Then, I need to add a new column ‘DateTime’ which combines the user input datetime with my 'Time' column. The 'DateTime' column should look like this:

25/09/2022 12:30:01
25/09/2022 12:30:02
25/09/2022 12:30:03
25/09/2022 12:30:04

I managed to do this in python, where the user input is on the terminal.
My python code (without Streamlit):

start_date = input(‘Please enter start date and time!’)

the user input ex: 25/05/2022 06:00:00

Then I run this line to combine this user input with my 'Time' column to achieve 'DateTime' column in the above format:

df[‘DateTime’] = pd.to_datetime(start_date) + pd.to_timedelta(df[‘Time’], unit=‘s’)

However, I would like to have this on Streamlit. From the documentation, there is currently no possibility to input date with a timestamp in Streamlit, unless you enter them separately, as follows:

start_date = st.date_input('Enter start date', value=datetime.datetime(2019,7,6))
start_time = st.time_input('Enter start time', datetime.time(8, 45))

So, this gives the user the possibility to enter the date and time separately, however I don’t know how to derive my ‘DateTime’ column and add it to the df. Appreciate any advice on how to accomplish this.

The solution to my earlier question can be found here:

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