Natural Language Processing on Email

analyze.py

from flask import Flask, request
from alchemyapi import AlchemyAPI
import sendgrid
import  json


app = Flask(__name__)
sg = sendgrid.SendGridClient('username', 'password')
alchemyapi = AlchemyAPI()


def analyze(text):
   #this function gets text from email, runs the alchemy api and sends that data back

   prebody = "############## Alchemy API analysis of email ##############<br><br>"
   response = alchemyapi.combined('text', text)
   prebody = prebody + "## Keywords ##<br>"
   for keyword in response['keywords']:
      prebody = prebody + keyword['text'] + ' : ' + keyword['relevance'] +'<br>'
   prebody = prebody + '<br><br>'

   prebody = prebody +"## Concepts ##<br>"
   for concept in response['concepts']:
      prebody = prebody + concept['text'] +' : ' + concept['relevance'] +'<br>'
   prebody = prebody + '<br><br>'

   prebody = prebody + "## Entities ##<br>"
   for entity in response['entities']:
      prebody = prebody + entity['type'] + ' : ' + entity['text'] + ' : ' + entity['relevance'] +'<br>'
   prebody = prebody + '<br><br>'

   prebody = prebody + "############## End of Analysis ##############<br><br>"

   return prebody
   

@app.route('/incoming',methods=['POST'])
def besmart():

   email = request.form['from']
   subject = request.form['subject']
   incoming_body = request.form['text']
   html_body = request.form['html']
   send_from =  request.form['to']

   #Get the analysis of the body
   prebody  = analyze(incoming_body)

   if html_body != "":
      body = prebody + html_body
   else:
      body = prebody + incoming_body


   new_sub = "Re: "+subject


   #Send back that return email

   message = sendgrid.Mail()
   message.add_to(email)
   message.set_subject(new_sub)
   message.set_html(body)
   message.set_text(body)
   message.set_from(send_from)
   status, msg = sg.send(message)

   return "OK"

if __name__ == '__main__':
   app.run(debug = True)