Large Text regeneration with Hugging Face and python

I am currently working on a project to generate text content(large) based on provided input text contents. The program should take input text contents lets say news on a specific topic from different news websites and it will merge the inputs text keeping the information intact and generate a new text output [length may be around 2000 words] which should have all the input information. However output should not be same as input. I have used Hugging Face text summarization for this purpose but that doesn’t fit here as I am not looking for summery which has few words, rather I want to recreate/rewrite the input text contents differently. Can this be achieved with Hugging Face, Python?