2) Create a virtual environment first in you local system to avoid the module version mismatch and it is better to create a new virtual environment for every new project
env is the name of virtual environment
python -m venv env
Now to activate the virtual environment use the below command
env\Scripts\activate
Below command will download and install all the required python packages for this project in your virtual environment
pip install -r requirements.txt
You will not required the Resume_Classifier_KNN-final.ipynb file its just for your reference purpose.
Resume_Classifier.pkl and Resume_Classifier1.pkl the difference between this two files are the later is trained on the same dataset after balancing it the prior file is trained on imbalanced dataset
To run the app.py file use this below command
python app.py