BERT_QnA

QnA system using BERT

Dependencies

requirements.txt

Running

For running on preloaded text
$python main_text.py paragraph.txt question.txt

For scraping and running on text
$python main_url.py https://tos.ea.com/legalapp/WEBTERMS/US/en/PC question4.txt random.txt
Link for downloading model
Note: Download weights using the above link or using git-lfs

Name		Name	Last commit message	Last commit date
Latest commit History 51 Commits
.github/workflows		.github/workflows
Results		Results
BERT.pdf		BERT.pdf
LICENSE		LICENSE
README.md		README.md
Test_Batch.py		Test_Batch.py
main_text.py		main_text.py
main_url.py		main_url.py
para_analysis.py		para_analysis.py
parafinder.py		parafinder.py
paragraph.txt		paragraph.txt
paragraph2.txt		paragraph2.txt
pytorch_model.bin		pytorch_model.bin
question.txt		question.txt
question2.txt		question2.txt
question4.txt		question4.txt
requirements.txt		requirements.txt
scraper.py		scraper.py
threshold.ipynb		threshold.ipynb

License

vaibagga/BERT_QnA

Folders and files

Latest commit

History

Repository files navigation

BERT_QnA

Dependencies

Running

About

Topics

Resources

License

Stars

Watchers

Forks

Languages