Text Summarization with Huggingface Transformers

This function uses the summarization pipeline from the Huggingface Transformers library to generate a summary for the input text.

Technology Stack : Huggingface Transformers library, used for natural language processing

Code Type : Function

Code Difficulty : Intermediate

                
                    
import torch
from transformers import pipeline

def generate_random_summary(text):
    # Initialize a pipeline for text summarization
    summarizer = pipeline("summarization")

    # Generate a summary for the given text
    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
    
    return summary[0]['summary_text']