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README.md

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-# python-dev-task-summarization
-
-The task has been done in two methods-
-- **using traditional Python libraries (like NLTK,Sumy)**
-- **using pre-trained transformers model**
-
-# Method-1
-## using traditional Python libraries
-#### Web Scraping Tools:
-- Selenium
-#### Paraphrasing Tools:
-- used [nlpaug](https://github.com/makcedward/nlpaug) library
-#### Summarization Tools:
-- used [sumy](https://miso-belica.github.io/sumy/) library
-#### System Requirements:
-- you will find it in the _requirements.txt_ file
-
-## How to test or run this?
-- just open this link and follow the instructions: _**https://shamim237-python-dev-task-app-3n18pu.streamlit.app/**_
-
-# Method-2
-## Using pre-trained transformers model
-#### Web Scraping Tools: 
-- ScrapperAPI
-- BeautifulSoup
-#### Paraphrasing Tools:
-- used **"ramsrigouthamg/t5-large-paraphraser-diverse-high-quality"** pre-trained model from HuggingFace
-#### Summarization Tools:
-- used **/"google/pegasus-cnn_dailymail"/** pre-trained model from HuggingFace
-#### System Requirements:
-- you will find it in the _Python_Dev_Task.ipynb_ notebook or in the below link.
-
-## How to test or run this?
-- Just open the **"Python_Dev_Task.ipynb"** file in Colab _or_ open this link: **_https://colab.research.google.com/drive/1wwaj0TobsnzQL5jMVsYrF5z6rc1944tE?usp=sharing_**
-- Run all the cell 
-- The summarization output will show up in the last cell of the notebook.