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)
