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text-summarization

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The project specializes in Text Summarization using NLP's extractive approach, preserving key information for concise summaries. Customize length, handle various formats, and enjoy a user-friendly interface. Applications include content aggregation, document skimming, and data analysis. Hop in to simplify information consumption! 🚀

  • Updated May 21, 2024
  • Python

A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.

  • Updated May 16, 2024
  • Python

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