Steps:

1. Install Python 3 (I have used v3.8)
   to check the version of installed python type the commnad:
   $python3 --version(GNU Linux)
   >python -V (Windows)
   
2. Create a virtual environment using the command:
   $python3 -m venv virtual_env_name
   

   Note: Give any name, in this case it's virtual_env_name

3. Navigate inside the virtual_env_name by using the command:
   $cd virtual_env_name
   
4. To activate the virtual_env_name type the command:
   $ source bin/activate or cd bin && activate (GNU Linux)
   > virtual_env_name\Scripts\activate or cd Scripts && activate (Windows)
   
5. To installed required libraries inside the virtual_env_name type the command:
   before installing libraries check the contents of virtual_env_name by using the command:
   $pip freeze
   $pip install -r requirements.txt
   
6. Now verify the installation by again typing:
   $pip freeze
   
7. Unzip the folder and copy the folder GyStaQ inside the virtual_env_name
   
8. To run the project follow the below steps:
   $cd GyStaQ
   $ls
   after executing ls command your file system should be something like this
   ->accounts
   ->classify
   ->GyStaQ
   ->home
   ->templates
   manage.py
   Run the following commands:
   $python manage.py makemigrations
   $python manage.py migrate
   $python manage.py changepassword
   It will ask you to change the password (current username and password are admin)
   $python manage.py collectstatic
   This will create a new folder called assets which will contain all the static files used in the project
   $python manage.py runserver
   And that's it. If everything went well project will be up and running
   
9. Also change the email settings in settings.py
   
10. Also give the absolute path to the pickled_model.pkl file inside classify app
    
11. To deactivate the virtual_env_name type the command:
    $deactivate
    
12. Run the server again and again, keep correcting the errors and have fun using GyStaQ Classifier