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Text-Summarization

This repository for summarization task using a pre-trained model from Hugging Face. The process involves fine-tuning the model on a custom dataset to improve its accuracy and relevance for specific summarization tasks. After fine-tuning, the model is deployed as an interactive web application using Streamlit, providing an easy-to-use interface.

Install python using Miniconda

  1. Download and install Miniconda

  2. Create a new environment using the following command:

$ conda create -n Text-Summarization python=3.9
  1. Activate the environment:
$ conda activate Text-Summarization

Install the required packages

$ cd src
$ pip install -r requirements.txt

Run the app

$ streamlit run app.py

About

This repository for summarization task using a pre-trained model from Hugging Face. The process involves fine-tuning the model on a custom dataset to improve its accuracy and relevance for specific summarization tasks. After fine-tuning, the model is deployed as an interactive web application using Streamlit, providing an easy-to-use interface.

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