Text-Similarity-Using-SBERT

Overview

This project provides a graphical user interface (GUI) for calculating the cosine similarity between two pieces of text. It leverages SBERT (Sentence-BERT) through the sentence-transformers library to encode the text and compute the similarity score. The GUI is built using tkinter for ease of use.

Features

• Enter two pieces of text in the provided text boxes.
• Calculate the cosine similarity between the two texts.
• Display the similarity score in a user-friendly format.

Installation

To run this project, you'll need Python and the following libraries:

• sentence-transformers (which includes SBERT models)
• tkinter (usually included with Python)

You can install the required libraries using pip:

pip install sentence-transformers