Skip to content

A Python-based web application that leverages Language Learning Models (LLMs) to summarize multiple engineering blog articles from a tech company and visualize the company's architecture over a specified period.

License

Notifications You must be signed in to change notification settings

ivankwongtszfung/engineering-blog-summary-llm

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 

Repository files navigation

Engineering Blog Summary and Visualization Project Using LLM

Python PyPI Build Status Status

Description

This project is a Python-based web application that utilizes Language Learning Models (LLMs) to summarize multiple engineering blog articles from a tech company. Additionally, it analyzes and visualizes the company's architecture over a specified period, providing insights into architectural changes and trends.

Features

  • Input multiple blog URLs or upload articles in bulk.
  • Generate concise summaries for each article using LLM.
  • Analyze and visualize architectural changes over time.
  • User-friendly interface for article submission, summary retrieval, and visualization display.

Technology Stack

  • Backend: Python, Flask/Django
  • Frontend: HTML, CSS, JavaScript (React optional)
  • Libraries: Hugging Face Transformers, Beautiful Soup, Matplotlib/Plotly
  • Database: SQLite/PostgreSQL

Setup and Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/engineering-blog-summary-llm.git
    cd engineering-blog-summary-llm
  2. Create a virtual environment and activate it:

    python -m venv venv
    source venv/bin/activate
  3. Install the required dependencies:

    pip install -r requirements.txt
  4. Set up the database:

    flask db init
    flask db migrate -m "Initial migration."
    flask db upgrade
  5. Run the application:

    flask run

Usage

  1. Navigate to the web interface at http://127.0.0.1:5000.
  2. Submit blog URLs or upload articles in bulk.
  3. Retrieve summaries and visualize the architectural changes over time.

Project Structure

  • app/ - Contains the Flask/Django application.
  • static/ - Contains static files (CSS, JavaScript, images).
  • templates/ - Contains HTML templates for the web interface.
  • models.py - Database models.
  • routes.py - API endpoints and routes.
  • summarizer.py - LLM integration for summarization.
  • visualizer.py - Analysis and visualization of architectural changes.

Contribution

Contributions are welcome! Please open an issue or submit a pull request for any changes or improvements.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For any questions or inquiries, please contact Ivan Kwong.


Roadmap

  • Phase 1: Project Planning and Requirements Gathering
  • Phase 2: Design and Architecture
  • Phase 3: Development
    • Setup Development Environment
    • Backend Development
    • Database Integration
    • Frontend Development
    • Visualization Engine Development
  • Phase 4: Testing
  • Phase 5: Deployment
  • Phase 6: Documentation and Maintenance

Feel free to contribute to the project and help improve it!

About

A Python-based web application that leverages Language Learning Models (LLMs) to summarize multiple engineering blog articles from a tech company and visualize the company's architecture over a specified period.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published