readme: ---
  license: openrail
  ---
  # 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))
  