You can obtain the probability of sampling for each object by softmax, but you have to have the actual list of objects. Here, I simply assume the list comprises numbers from 0 to 100.
obj_list = list(range(100))
np.random.choice(obj_list, p=dist[0])

note: I  used dist[0] since out contains probability distribution for several independent PDFs. You can do similar for the rest.