vatsalsaglani

import subprocess
import io
from flask_cors import CORS
from flask import Flask, request, render_template, jsonify

@app.route('/predict_api', methods=['GET', 'POST'])
def predict_classes():
    if request.method == 'GET':
        return render_template('home.html', value = "Image")

vatsalsaglani

echo "For macOS open this script file and check the comments!!!"
# FAST-AI ML for CODERS on your laptop using virtualenv
# Note: Your system must have python3.6 installed.
# Run this file using `bash install.sh` 
sudo apt-get update
sudo apt-get python3-dev
sudo apt-get install python3-pip
# For macOS comment out the above three lines and uncomment the below given line and then run the file
# brew install python3-pip
echo"on macOS if the above command doesn't work open the script"

vatsalsaglani

{'id': 1, 'meaning': 'become less in amount or intensity', 'word': 'abate'},
 {'id': 2,
  'meaning': 'markedly different from an accepted form',
  'word': 'aberrant'},
 {'id': 3, 'meaning': 'temporary cessation or suspension', 'word': 'abeyance'},
 {'id': 4,
  'meaning': 'run away; usually includes taking something or somebody alone',
  'word': 'abscond'},
 {'id': 5,
  'meaning': 'sparing in consumption of especially food or drinks',

vatsalsaglani

{'id': 1, 'meaning': 'become less in amount or intensity', 'word': 'abate'},
 {'id': 2,
  'meaning': 'markedly different from an accepted form',
  'word': 'aberrant'},
 {'id': 3, 'meaning': 'temporary cessation or suspension', 'word': 'abeyance'},
 {'id': 4,
  'meaning': 'run away; usually includes taking something or somebody alone',
  'word': 'abscond'},
 {'id': 5,
  'meaning': 'sparing in consumption of especially food or drinks',

vatsalsaglani

from urllib.request import urlopen
from bs4 import BeautifulSoup as BS
import pandas as pd
from urllib.parse import urlparse, urlsplit
from PIL import Image

website_page = 'http://nameofyourwebsite.com'
page = urlopen(website_page)
soup = BS(page)
soup

vatsalsaglani

from urllib.request import urlopen
from bs4 import BeautifulSoup as BS
import pandas as pd
from urllib.parse import urlparse, urlsplit
from PIL import Image

website_page = 'http://nameofyourwebsite.com'
page = urlopen(website_page)
soup = BS(page)
soup

vatsalsaglani

from urllib.request import urlopen
from bs4 import BeautifulSoup as BS
import pandas as pd
from urllib.parse import urlparse, urlsplit
from PIL import Image