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@api_view(["GET"])
def user_info(request):
    return Response({
        'user': request.user.username,
        'expires_in': expires_in(request.auth)
    }, status=HTTP_200_OK)

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from django.contrib import admin
from django.urls import path
from users.views import signin, user_info


urlpatterns = [
    path('admin/', admin.site.urls),
    path('api/v1/signin', signin),
    path('api/v1/user_info', user_info),

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import cv2
import numpy as np
import os 
from random import shuffle
from tqdm import tqdm

TRAIN_DIR = '/home/yerkebulan/app/dev/projects/classification_research/dogs-vs-cats/train'
TEST_DIR = '/home/yerkebulan/app/dev/projects/classification_research/dogs-vs-cats/test1'
IMG_SIZE = 50
LR = 1e-3

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# [cat, dog]
def label_image(img):
    label = img.split('.')[-3]
    if label == 'cat':
        return [1,0]
    else:
        return [0,1]

# Here we generate train data with fixed size and we save it
def create_train_data():

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import tflearn
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.estimator import regression


convnet = input_data(shape=[None, IMG_SIZE, IMG_SIZE, 1], name='input')

#layer
convnet = conv_2d(convnet, 32, 2, activation='relu')

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# Here we set model configuration It all defined at the beginig
model.fit(
    {'input': X}, 
    {'targets': Y}, 
    n_epoch=EPOCHE, 
    validation_set=({'input': test_x}, {'targets': test_y}), 
    snapshot_step=500, show_metric=True, run_id=MODEL_NAME
)

model.save(MODEL_NAME)

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import cv2
import numpy as np
import os


import tflearn
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.estimator import regression

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from rest_framework.response import Response
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import AllowAny
from rest_framework.status import (
        HTTP_200_OK,
        HTTP_400_BAD_REQUEST,
    )

from .classification_research.CNN import CNN

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from django.urls import path
from . import views

urlpatterns = [
    path('classify/', views.classify),
]