Build a script to summarize long articles

Here’s a simple Python script using the transformers library from Hugging Face to summarize long articles:

Requirements:

1. Install the necessary libraries:

bash
CopyEdit
pip install transformers
pip install torch

2. Script for summarizing an article:

python
CopyEdit
from transformers import pipeline

# Load the pre-trained summarizer model from Hugging Face
summarizer = pipeline("summarization")

def summarize_article(article_text, max_length=150):
    """
    Summarizes the article into a shorter version.
    
    Parameters:
        article_text (str): The article content to be summarized.
        max_length (int): Maximum length of the summary (default 150 characters).
    
    Returns:
        str: Summarized article.
    """
    # Break article into smaller chunks if it's too long (transformers models have a max token limit)
    chunks = [article_text[i:i+1024] for i in range(0, len(article_text), 1024)]
    
    summary = ""
    for chunk in chunks:
        # Use Hugging Face summarizer to get the summary of each chunk
        chunk_summary = summarizer(chunk, max_length=max_length, min_length=50, do_sample=False)[0]['summary_text']
        summary += chunk_summary + " "
    
    return summary.strip()

# Example usage:
article = """Your long article text goes here..."""
summarized_article = summarize_article(article)

print(summarized_article)

Explanation:

• Pipeline Initialization: The script uses Hugging Face’s pipeline("summarization"), which is an easy way to load pre-trained models specifically for summarization.

• Text Chunking: Since models like BART or T5 (used for summarization) have a token limit (usually around 1024 tokens), the script splits long articles into smaller chunks if necessary.

• Summary Generation: For each chunk, the summarizer is called and the summaries are concatenated together.

How to Use:

1. Copy the script into a Python file.

2. Paste your long article into the article variable.

3. Run the script to get the summarized version.

This script will return a concise summary of any long article provided.