Yosemite NLP

Call assess_answer() present in similarity_v1.py to get marks.
Function parameters are reference answer, student answer and the maximum marks of the question. Run Server:

$ export FLASK_APP=main.py
$ export FLASK_ENV=development
$ flask run

Contributors ✨

Thanks goes to these wonderful people (emoji key):

This project follows the all-contributors specification. Contributions of any kind welcome!

Name		Name	Last commit message	Last commit date
Latest commit History 47 Commits
.github/workflows		.github/workflows
.all-contributorsrc		.all-contributorsrc
.dockerignore		.dockerignore
.gitignore		.gitignore
.prettierrc		.prettierrc
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
doc_similarity_v1.ipynb		doc_similarity_v1.ipynb
flask_script.py		flask_script.py
long_correct.txt		long_correct.txt
long_wrong.txt		long_wrong.txt
main.py		main.py
requirements.txt		requirements.txt
runserver.sh		runserver.sh
similarity_v1.py		similarity_v1.py
small_correct.txt		small_correct.txt
small_wrong.txt		small_wrong.txt
subjective_answer_checker.py		subjective_answer_checker.py
test_model.py		test_model.py