Hi
Team,
I am getting the above error, it has persisted long enough than at this
point i really need help.
I am using pickle to load an ML model, POST to get user input. Below is the
error, my urls.py file and the views.py file.
Any Help will be highly appreciated.
*** Error Message ***
(python10_env) D:\Online
Drives\MDigital\CIT-Letures\python10_env\smart_health_consult>python
manage.py runserver
Watching for file changes with StatReloader
Performing system checks...
Exception in thread django-main-thread:
Traceback (most recent call last):
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\urls\resolvers.py",
line 634, in url_patterns
iter(patterns)
TypeError: 'module' object is not iterable
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File
"C:\Users\USER\AppData\Local\Programs\Python\Python310\lib\threading.py",
line 1009, in _bootstrap_inner
self.run()
File
"C:\Users\USER\AppData\Local\Programs\Python\Python310\lib\threading.py",
line 946, in run
self._target(*self._args, **self._kwargs)
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\utils\autoreload.py",
line 64, in wrapper
fn(*args, **kwargs)
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\management\commands\runserver.py",
line 124, in inner_run
self.check(display_num_errors=True)
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\management\base.py",
line 438, in check
all_issues = checks.run_checks(
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\registry.py",
line 77, in run_checks
new_errors = check(app_configs=app_configs, databases=databases)
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\urls.py",
line 40, in check_url_namespaces_unique
all_namespaces = _load_all_namespaces(resolver)
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\urls.py",
line 67, in _load_all_namespaces
namespaces.extend(_load_all_namespaces(pattern, current))
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\core\checks\urls.py",
line 57, in _load_all_namespaces
url_patterns = getattr(resolver, 'url_patterns', [])
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\utils\functional.py",
line 48, in __get__
res = instance.__dict__[self.name] = self.func(instance)
File "D:\Online
Drives\MDigital\CIT-Letures\python10_env\lib\site-packages\django\urls\resolvers.py",
line 642, in url_patterns
raise ImproperlyConfigured(msg.format(name=self.urlconf_name)) from e
django.core.exceptions.ImproperlyConfigured: The included URLconf ''
does not appear to have any patterns in it. If you see the 'urlpatterns'
variable with valid patterns in the file then the issue is probably caused
by a circular import.
**
urls.py *
from django.urls import path
from . import views
#from .views import index
#from .views import predict
urlpartterns = [
path('', views.index, name='index'),
path('result.html', views.predict, name='predict')
]
**
* views.py *
from django.shortcuts import render
# Testing if context can solve circular refference issue.
from django.template import context
# Model related imports
import pandas as pd #install pandas
import pickle
import numpy as np # helps to manipulate the data
# Create your views here.
def index(request):
return render(request, 'index.html')
# importing the models using pickle.
#Loading Naive Bayes Pickle Model load method 1
nb_pickle = open('./models_store/final_nb_model.pickel','rb+')
nb_model = pickle.load(nb_pickle)
#Loading RandomForest Pickle Modal load method 1
rf_pickle = open('./models_store/final_rf_model.pickel', 'rb+')
rf_model = pickle.load(rf_pickle)
#Loading Scala Vector Machine Pickle Model load method 2
svm_model = pickle.load(open('./models_store/final_svm_model.pickel',
'rb+'))
# Disease prediction Function:
def predict(request):
if request.method=='POST':
symptom_index = {}
symptom_index['symptom1'] =float(request.POST.get('symptom1')) #
Add data in string format to the dictionary
symptom_index['symptom2'] =float(request.POST.get('symptom2'))
symptom_index['symptom3'] =float(request.POST.get('symptom3'))
user_symptoms = pd.DataFrame({'X':symptom_index}).transpose()
#think about changing dictionary to list at this line.
# Using pickle model() to predict
nb_prediction = nb_model.predict(user_symptoms)[0]
rf_prediction = rf_model.predict(user_symptoms)[0]
svm_prediction = svm_model.predict(user_symptoms)[0]
