Rohan Krishna Ullas Kakarot-2000

## .env
token = "API_KEY"

## fetchExample.js
fetch("http://127.0.0.1:5000/getSummary", {
        "body": JSON.stringify({"url":"https://owasp.org/www-community/attacks/csrf"}),
        "method": "POST",
        "headers":{
                "Content-Type": "application/json"
        }
    }).then(response=> response.body). then(rb => {
        const reader = rb.getReader();
        return new ReadableStream({
        start(controller) {

## app.py
import json
from flask import Flask, request, jsonify, Response
import nlpcloud
from flask_cors import CORS, cross_origin
import trafilatura
from dotenv import load_dotenv
import os

app = Flask(__name__)
CORS(app, support_credentials=True)

## requirements.txt
flask
flask-cors
trafilatura
nlpcloud
python-dotenv

## requirements.txt
flask
flask-cors
nlpcloud
trafilatura

## index.html
<!doctype html>
<html lang="en">
<head>
    <meta name="viewport" content="width=device-width, initial-scale=1">

    <!-- Required meta tags -->
    <meta charset="utf-8">
    <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">

    <meta charset="utf-8">

## app.py
def gen_frames():                                       # generate frame by frame from camera
    while True:
        # Capture frame by frame
        success, frame = camera.read()
        if not success:
            break
        else:
            gray_img= cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

            faces_detected = face_haar_cascade.detectMultiScale(gray_img, 1.32, 5)

## clock.py
from apscheduler.schedulers.blocking import BlockingScheduler
from run import sendMail
sched = BlockingScheduler()

@sched.scheduled_job('interval', minutes=1)
def timed_job():
    print('This job is run every one minute.')
    sendMail()

## Procfile
clock: python clock.py

## clock.py
from apscheduler.schedulers.blocking import BlockingScheduler
from run import sendMail

sched = BlockingScheduler()

@sched.scheduled_job('cron', day_of_week='mon-fri', hour=8)
def scheduled_job():
    print('This job is run every weekday at 8 AM.')
    sendMail()
sched.start()
	fetch("http://127.0.0.1:5000/getSummary", {
	"body": JSON.stringify({"url":"https://owasp.org/www-community/attacks/csrf"}),
	"method": "POST",
	"headers":{
	"Content-Type": "application/json"
	}
	}).then(response=> response.body). then(rb => {
	const reader = rb.getReader();
	return new ReadableStream({
	start(controller) {
	import json
	from flask import Flask, request, jsonify, Response
	import nlpcloud
	from flask_cors import CORS, cross_origin
	import trafilatura
	from dotenv import load_dotenv
	import os

	app = Flask(__name__)
	CORS(app, support_credentials=True)
	<!doctype html>
	<html lang="en">
	<head>
	<meta name="viewport" content="width=device-width, initial-scale=1">

	<!-- Required meta tags -->
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">

	<meta charset="utf-8">
	def gen_frames(): # generate frame by frame from camera
	while True:
	# Capture frame by frame
	success, frame = camera.read()
	if not success:
	break
	else:
	gray_img= cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

	faces_detected = face_haar_cascade.detectMultiScale(gray_img, 1.32, 5)
	from apscheduler.schedulers.blocking import BlockingScheduler
	from run import sendMail
	sched = BlockingScheduler()

	@sched.scheduled_job('interval', minutes=1)
	def timed_job():
	print('This job is run every one minute.')
	sendMail()