https://github.com/prathamesh-patil-5090/information_summarizer
The GitHub repository Information_Summarizer by Prathamesh Patil is a versatile tool built using Django, React, and Tailwind CSS. It allows users to generate summaries from various sources like plain text, PDFs, DOCX files, video transcripts, and website URLs, utilizing an advanced NLP model—Trained T5-base, trained on the abisee/cnn_dailymail 3.0.
https://github.com/prathamesh-patil-5090/information_summarizer
ai django python t5-base trained-models
Last synced: about 1 month ago
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The GitHub repository Information_Summarizer by Prathamesh Patil is a versatile tool built using Django, React, and Tailwind CSS. It allows users to generate summaries from various sources like plain text, PDFs, DOCX files, video transcripts, and website URLs, utilizing an advanced NLP model—Trained T5-base, trained on the abisee/cnn_dailymail 3.0.
- Host: GitHub
- URL: https://github.com/prathamesh-patil-5090/information_summarizer
- Owner: prathamesh-patil-5090
- Created: 2024-10-28T03:13:03.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-29T02:45:07.000Z (over 1 year ago)
- Last Synced: 2025-06-07T11:45:25.571Z (12 months ago)
- Topics: ai, django, python, t5-base, trained-models
- Language: HTML
- Homepage:
- Size: 3.17 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Information Summarizer
Information Summarizer is a versatile tool built using Django, React, and Tailwind CSS. It allows users to generate summaries from various sources like plain text, PDFs, DOCX files, video transcripts, and website URLs, using advanced NLP model - Trained T5-base, which trained on abisee/cnn_dailymail , 3.0.0. dataset of hugging face.
## Table of Contents
- [Description](#description)
- [Features](#features)
- [Technologies Used](#technologies-used)
- [Requirements](#requirements)
- [Installation](#installation)
- [Usage](#usage)
- [Project Structure](#project-structure)
- [Contribution Guidelines](#contribution-guidelines)
- [License](#license)
## Description
Information Summarizer is designed to streamline the summarization process for various content types, leveraging AI models to produce concise, meaningful summaries. Users can upload text files, PDFs, and input URLs or video links to generate summaries.
## Features
- Summarize various content types:
- Plain text
- PDF files
- Video transcripts from YouTube
- Web URLs
- User authentication (login and signup)
- PDF and text file upload and summary generation
- Video transcription and summarization using the `youtube-transcript-api`
- Summarization models - Trained T5-base, which trained on abisee/cnn_dailymail , 3.0.0. dataset of hugging face
## Technologies Used
- **Frontend**: React, Tailwind CSS
- **Backend**: Django, Django REST Framework
- **Database**: SQLite
- **OCR and Summarization**: Trained T5-base, which trained on abisee/cnn_dailymail , 3.0.0. dataset of hugging face
- **Other Libraries**: `youtube-transcript-api` for video transcription
## Requirements
- Python 3.12
- Django (version compatible with your Python version)
- Required Python libraries (see `requirements.txt`)
## Installation
1. **Clone the Repository**
```bash
git clone https://github.com/patilprathamesh07/Information_Summarizer.git
cd Information_Summarizer
```
2. Install Python Dependencies
```bash
pip install -r requirements.txt
```
## All set to start the program :
```bash
cd Information_Summarizer
```
```bash
python manage.py migrate
python manage.py runserver
```
## Usage
1. Login and Signup: Access authentication features at the login page.
2. Upload Content: Go to the upload page to submit text, PDF, url , or video links.
3. Summary Generation: Choose the content type and receive a summarized version on the result page.
## Project Structure
```
Information_Summarizer/
├── info_summarizer/
│ ├── __init__.py
│ ├── asgi.py
│ ├── settings.py
│ ├── urls.py
│ ├── wsgi.py
├── pdfs/
├── transcripts/
├── summarizer/
│ ├── __init__.py
│ ├── admin.py
│ ├── apps.py
│ ├── models.py
│ ├── tests.py
│ ├── views.py
│ └── templates/
│ ├── login.html
│ ├── upload.html
│ └── result.html
├── README.md
├── db.sqlite3
├── manage.py
└── requirements.txt
```
## Contribution Guidelines
1. Fork the repository.
2. Create a feature branch (git checkout -b feature/AmazingFeature).
3. Commit your changes (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a pull request.
## License
This project is licensed under the MIT License.
## Screenshots:
