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 12 Commits
.github/workflows		.github/workflows
Results		Results
__pycache__		__pycache__
dist		dist
node_modules		node_modules
public		public
uploads		uploads
BERT.pdf		BERT.pdf
LICENSE		LICENSE
README.md		README.md
Test_Batch.py		Test_Batch.py
app.js		app.js
main.py		main.py
main_text.py		main_text.py
main_url.py		main_url.py
package-lock.json		package-lock.json
package.json		package.json
para_analysis.py		para_analysis.py
parafinder.py		parafinder.py
paragraph.txt		paragraph.txt
paragraph2.txt		paragraph2.txt
ques.txt		ques.txt
question.txt		question.txt
question2.txt		question2.txt
question4.txt		question4.txt
requirements.txt		requirements.txt
scraper.py		scraper.py
test.txt		test.txt
threshold.ipynb		threshold.ipynb

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