Initialize the pipeline with the "text-davinci-002" model

segmenter = pipeline("text-segmentation", model="text-davinci-002", tokenizer='text-davinci-002')

Segment the text

segmented_text = segmenter("This is a longer text that we want to segment into smaller chunks. Each chunk should correspond to a coherent piece of text.")

Process each segment with ChatGPT

nlp = pipeline("text-generation", model="text-davinci-002", tokenizer='text-davinci-002') for segment in segmented_text: print(nlp(segment))