Making a machine learning app is not enough by itself. You have to package it and SELL it, or present in a commodity form. This is an example of a simplest WEB app that can be changed to run a neural network PREdICT command on the WEB.
Open the POWERSHELL app (from ANACONDA)
First, make sure you
have Django installed. You can install it using pip:
pip install django
pip install django
Create a working directory:
C:\Users\ars\ARStensorflow\0icron\interactive
django-admin startproject myproject
cd
myproject
python manage.py
startapp myapp
This creates:
Now, let's define the view for our web application. Open the
file myapp/views.py and add the following code:
from
django.http import HttpResponse
def index(request):
return HttpResponse("Hello, welcome to my Django
web application!")
Next, we need to define the URL pattern for this view. Open
the file myproject/urls.py and add the following code:
from
django.urls import path
from
myapp import views
urlpatterns = [
path('',
views.index, name='index'),
]
Now, we have defined the view and URL pattern for our
application. We just need to configure the Django project to use our new
application. Open the file myproject/settings.py and add 'myapp', to the INSTALLED_APPS list:
INSTALLED_APPS = [
...
'myapp',
]
Urls and settings are here:
Finally, run the development server using the following
command:
Run it from POWERSHELL that you had opened in the beginning.
python manage.py runserver
Now, if you open a web browser and navigate to http://127.0.0.1:8000/, you should see the greeting message "Hello,
welcome to my Django web application!" displayed on the page.
The screen outputs:
