Text Summarization App

This is a web application for text summarization using various NLP techniques. The app leverages libraries such as SpaCy, NLTK, and Sumy to provide different summarization methods.

Features

• SpaCy Summarization: Uses SpaCy for text summarization.
• NLTK Summarization: Uses NLTK for text summarization.
• Sumy Summarization: Uses Sumy with the LexRank algorithm for text summarization.
• Web Scraping: Extracts text from web pages for summarization.

Installation

1. Clone the repository: OR Download the Code

   cd text-summarization-app

2. Create a virtual environment:

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install the required packages:

   pip install -r requirements.txt

5. Download SpaCy model:

   python -m spacy download en_core_web_sm

Usage

1. Run the application:

   python app.py

2. Open your web browser and go to http://127.0.0.1:5000/.

3. Enter the text you want to summarize or provide a URL for web scraping.

4. Choose the summarization method (SpaCy, NLTK, or Sumy) and click on the "Summarize" button.

Screenshots:

File Structure

• app.py: The main Flask application file.
• templates/: Contains the HTML templates for the web app.
• static/: Contains static files like CSS and JavaScript.
• requirements.txt: Lists the Python dependencies for the project.

Dependencies

• Flask
• SpaCy
• NLTK
• Sumy
• BeautifulSoup4

Connect With Me

• LinkedIn
• GitHub