bert-qa-server

The documentation for the live server can be found here

Steps To Run

• Create a Python virtual environment
• Once in the environment, run pip install -r requirements.txt
• Download the BERT model and save it into a folder named mymodel in the project directory
• Create a file named .env in the project folder and in it type (the vocab file will be in the assest folder) :

PATH_TO_VOCAB_FILE=<path_to_vocab.txt>
PATH_TO_MODEL=<path_to_model>

• Run the command flask run in the terminal, the server should be running on http://localhost:5000