pysuma 0.1.0

A flexible text summarization library supporting extractive and abstractive methods.

pysuma

🚀 PySummarizer - The Ultimate Text Summarization Library

PySummarizer is a powerful and intelligent text summarization library designed for both extractive and abstractive summarization. It efficiently extracts key insights from PDFs and presents them in a structured, bullet-point format, making it perfect for academic research, content summarization, and AI-driven automation.

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🌟 Features

✅ Supports Extractive & Abstractive Summarization
✅ Seamlessly extracts text from PDFs & generates structured summaries
✅ Utilizes TextRank, LSA, and LexRank for extractive summarization
✅ Automatically adjusts bullet points based on text length
✅ Customizable summary length to meet your needs
✅ Command-line interface (CLI) for quick and efficient summarization
✅ Easy-to-use and integrates effortlessly into Python projects

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📌 Installation

Get started in seconds! Install PySummarizer via pip:

pip install pysuma

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🚀 Quick Start Guide

Transform long PDFs into structured summaries in just a few lines of code.

1️⃣ Import the Library

import pysuma as pyss

2️⃣ Define PDF Paths

pdf_path = "sample.pdf"      # Input PDF file
output_file = "summary.txt"  # Output summary file

3️⃣ Generate a Summarized Report

pyss.summarize_pdf(
    pdf_path,
    output_file,
    method="textrank",            # Choose from "textrank", "lsa", "lexrank"
    summary_type="extractive"      # Select either "extractive" or "abstractive"
)

4️⃣ Run & Retrieve Your Summary

python script.py

✅ The summary will be saved in summary.txt, formatted as bullet points.

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📄 Summary Output Example

PySummarizer automatically structures summaries into bullet points for better readability:

• Learning enables acquiring new skills and knowledge.
• Supervised learning requires labeled datasets for training.
• Decision trees classify data using entropy and information gain.
• Reinforcement learning optimizes decision-making using rewards and penalties.
...
(Total bullet points depend on text length)

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📊 Adaptive Bullet Point Summarization

PySummarizer dynamically adjusts the number of bullet points based on text length:

Text Length (Characters)	Number of Bullet Points
0 - 2500	10
2501 - 5000	20
5001 - 7500	30
More than 7500	50

🔹 Ensures precise summarization without losing key details.

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💻 CLI Usage (Command Line)

Use PySummarizer directly from the terminal for quick PDF summarization:

pysuma sample.pdf summary.txt --method textrank --summary_type extractive

✔️ Perfect for automation & large-scale text processing.

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📜 License

PySummarizer is released under the MIT License, making it open-source and free for personal and commercial use.

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🎯 Transform lengthy PDFs into structured insights with PySummarizer today!
🔗 Contribute or explore more: GitHub Repository

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