waqaskhan409

const express = require("express");
const bodyParser = require("body-parser");
const multer = require("multer");
const nodemailer = require("nodemailer");

var fs = require("fs");
var upload = multer()

const app = express();
app.use("/public", express.static("public"))

waqaskhan409

const express = require("express");
const bodyParser = require("body-parser");
const multer = require("multer");
const nodemailer = require("nodemailer");

var fs = require("fs");
var upload = multer()


const app = express();

waqaskhan409

from __future__ import print_function
from googleapiclient.discovery import build
from googleapiclient.http import MediaIoBaseDownload
from httplib2 import Http
from oauth2client import file, client, tools
import http
import io
import pandas
from sklearn.cross_validation import train_test_split
import threading as thr

waqaskhan409

from __future__ import print_function
from googleapiclient.discovery import build
from googleapiclient.http import MediaIoBaseDownload
from httplib2 import Http
from oauth2client import file, client, tools
import http
import io
import pandas
from sklearn.cross_validation import train_test_split
import threading as thr

waqaskhan409

#!/usr/bin/env python
# coding: utf-8

# In[ ]:


import tensorflow as tf
from keras.models import Sequential
from keras.layers import Dense, Activation, Dropout, Flatten,Conv2D, MaxPooling2D
from keras.layers.normalization import BatchNormalization

waqaskhan409

<?php
$fileName = "task1.jpg";
// $fileName = $fileName . basename($_FILES['uploaded_file']['name']);
if(isset($_FILES['image']['name'])){
  $image = $_FILES['image']['name'];
  $tmpFile = $_FILES['image']['tmp_name'];
  $error =  $_FILES['image']['error'];
  $location = 'token/';

  if(!empty($image)){

waqaskhan409

# coding: utf-8

# In[1]:


from keras import Sequential
import os
import sys as system

waqaskhan409

#!/usr/bin/env python
# coding: utf-8

# In[3]:


from PIL import Image
import os