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Extractive_Text_Summerization_Using_Bert Deployment using Flask and Docker

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the model Deployment in my localhost



That is my final project for Neural Network and Deep learning (CIE 555) course in my university
we have done:
• Have used wikihow dataset and do manty Data preprocessing techniques in it - remove stop words,remove unrelated content lemmetization make the data is suitable format to can feed it in the pretrained model-.
• Have used Bert-Extractive summerizer pretrained model.
• Have used Rough-1,Rough-2,Rough-l to compare the model result with state of the art in text Summarization.
• the model is deployed using Flask

The comberhansive detailed information about the project is available in Bert Extractive Text Summarizer Report.


That`s is sample from model output

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the model output

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