AUTOMATIC TEXT SUMMARIZE

Authors

  • Shital Gadekar Computer Science & Engineering Jhulelal Institute of Technology, Nagpur, India
  • Nisha Bilani Computer Science & Engineering Jhulelal Institute of Technology, Nagpur, India- shitalgadekar@gmail.com Nisha Bilani Computer Science & Engineering Jhulelal Institute of Technology, Nagpur, India- 441111
  • Priyanka Dudhe Computer Science & Engineering Jhulelal Institute of Technology, Nagpur, India- 441111

Keywords:

Streamlit, python, BART, test summarization

Abstract

It wish to develope text- summarization software. However, It are unable to accomplish this due to a lack of front-end expertise.I'd like to introduce it to streamlit. Create stunning apps in hours with Streamlit, even it don't really haveexperience with front-end development. It the title ofthis post sounds too good to be true, just know that it can use Streamlit to create gorgeous apps ina fractionof that time. It have access to the official documentation, it may learn in under fitteen minutes the features it web app must have. It have web up &running in under 30 minutes it spend the next fitteen to twenty minutes putting together the Streamlit & summarizing python code. Utilizing Streamlit, we can build it very own machine learning web app. The article will be summarized utilizing BART & T5 transformer models.

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Published

2023-06-01

How to Cite

Shital Gadekar, Nisha Bilani, & Priyanka Dudhe. (2023). AUTOMATIC TEXT SUMMARIZE . SSGM Journal of Science and Engineering, 1(1), 123–125. Retrieved from https://ssgmjournal.in/index.php/ssgm/article/view/45

Issue

Vol. 1 No. 1 (2023): Proceedings of INSCIRD-2023

Section

Articles