NLTK Text Summarizer

• Tech Stack: Python, NLTK, Streamlit
• Github URL: Project Link

The NLTK Text Summarizer is a Streamlit web application designed to summarize text using natural language processing techniques. Leveraging the power of the Natural Language Toolkit (NLTK), the app analyzes the input text to identify key points and generate a concise summary. Users can adjust the length of the summary by specifying the desired number of sentences. This tool is particularly useful for quickly grasping the main ideas of longer texts, including articles, reports, and essays.

Setup and Installation:

• Prerequisites:
  • Python 3.6 or higher
  • pip
• Installation Steps:
  • Clone the repository or download the nltk_txt.py script.
  • Install Streamlit and NLTK if you haven't already:

    pip install streamlit nltk

  • Run the Streamlit app:

    streamlit run nltk_txt.py

Usage:

• Once the app is running, navigate to the displayed URL in your web browser.
• Enter the text you wish to summarize in the text area provided.
• Use the slider to select the number of sentences you want in your summary.
• Click the "Summarize" button to generate and view the summary.

Features:

• Text summarization using NLTK's corpus and tokenization methods.
• Adjustable summary length through a user-friendly slider.
• Intuitive Streamlit interface for easy interaction.

Contributing:

• Reporting bugs
• Suggesting enhancements
• Submitting pull requests with improvements to code or documentation

Please feel free to fork the repository and submit pull requests with your changes!