I am just curious to know if there is a way to automatically get the lables for the topics in Topic modelling. It would be really helpful if there's any python implementation of it.
Topic modelling is an unsupervised task, so by definition there is no gold-standard label. The task is a kind of clustering, i.e. it tries to group together documents with similar topics, but it doesn't label the groups.
Instead people usually use the words which are the most associated with a topic by the model as a kind of description for the topic.