pysummarize

Summarize long text using frequency-based or AI-based summarizers.

Installation

pip install pysummarize

💡 Usage Examples

Basic Operations

from pylib_summarize import summarize_frequency, extract_keywords, summarize_by_ratio

text = "Python is great. Machine learning is fun. Python and ML are powerful."

# Summarize by word frequency
summary = summarize_frequency(text, num_sentences=2)
# 'Python is great. Machine learning is fun.'

# Extract keywords
keywords = extract_keywords(text, num_keywords=3)
# ['python', 'learning', 'machine']

# Summarize by ratio
short_summary = summarize_by_ratio(text, ratio=0.5)

AI/ML Use Cases

from pylib_summarize import summarize_frequency, extract_keywords

# Summarize AI-generated content
ai_response = "Long AI-generated text..."
summary = summarize_frequency(ai_response, num_sentences=3)

# Extract key topics from text
topics = extract_keywords(ai_response, num_keywords=10)

📚 API Reference

summarize_frequency(text: str, num_sentences: int = 3) -> str

Summarizes text based on word frequency. Returns top N sentences.

extract_keywords(text: str, num_keywords: int = 5) -> List[str]

Extracts top keywords by frequency, excluding stop words.

summarize_by_ratio(text: str, ratio: float = 0.3) -> str

Summarizes text to a ratio of original length.

🤖 AI Agent Friendly

This package is optimized for AI agents and code generation tools:

• Clear function names and signatures
• Comprehensive docstrings with examples
• Type hints for better IDE support
• Common use cases documented
• Zero dependencies for reliability

License

MIT