How can I implement text summarization in Python?

How can I implement text summarization in Python?

You can use libraries like NLTK, Gensim, or Hugging Face's Transformers. Which one are you interested in?

I want to use Hugging Face's Transformers. Can you guide me through the steps?

Sure! First, install the Transformers library using pip. Then, you can load a pre-trained model for summarization.

What code should I use to summarize a text?

Here's a simple example:

from transformers import pipeline

summarizer = pipeline('summarization')
text = "Your long text here..."
summary = summarizer(text)
print(summary)

How do I handle longer texts that exceed the model's limit?

You can split the text into smaller chunks and summarize each chunk separately, then combine the summaries.