if __name__ == '__main__': url = '' t = Tensor(url) imgs = [] i = 0 #folder="home/turtle/Desktop" while (1): imgs.append(os.path.join("/home/turtle/images/image" + str(i) + ".jpg")) # sleep(1) image = "/home/turtle/images" + '/' + imgs[i] #end=time.time() res = t.classify(imgs[i]) #print(end-start) resp = json.dumps(res) #rep=repr(res) #print (rep) #f resp.endswith('}'): #os.remove(image) # print('hi') fromaddr = "" toaddr = "" msg = MIMEMultipart() msg['From'] = "tensor" msg['To'] = "flow" msg['Subject'] = "TENSORFLOW CLASSIFICATION RESULT" body = "\n" + res
from email.mime.multipart import MIMEMultipart import os import smtplib import random if __name__ == '__main__': url = '' t = Tensor(url) folder = "/home/mahima/images" while (true): for filename in os.listdir("/home/mahima/images"): numberoffiles = len(folder) img = random.choice(os.listdir("/home/mahima/images")) image = folder + '/' + img print(numberoffiles) res = t.classify(image) os.remove(image) #sending response as an email fromaddr = "" toaddr = "" msg = MIMEMultipart() msg['From'] = "Tensorflow" msg['To'] = "Mahima" msg['Subject'] = "TENSORFLOW CLASSIFICATION RESULT" body = '/n' + res msg.attach(MIMEText(body, 'plain')) filename = image attachment = open(image, "rb") part = MIMEBase('application', 'octet-stream') part.set_payload((attachment).read()) encoders.encode_base64(part)