pragnakalp commited on
Commit
964aca7
1 Parent(s): 307bd8b

Rename send_email_user.py to save_data.py

Browse files
Files changed (2) hide show
  1. save_data.py +125 -0
  2. send_email_user.py +0 -87
save_data.py ADDED
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+ import os
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+ import json
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+ import shutil
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+ import requests
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+ import re as r
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+ from urllib.request import urlopen
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+ from datetime import datetime
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+ from datasets import Image
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+ from huggingface_hub import Repository, upload_file
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+
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+ HF_TOKEN = os.environ.get("HF_TOKEN")
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+ DATASET_NAME = "OCR-img-to-text"
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+ DATASET_REPO_URL = f"https://huggingface.co/datasets/pragnakalp/{DATASET_NAME}"
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+ DATASET_REPO_ID = "pragnakalp/OCR-img-to-text"
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+ print("is none?", HF_TOKEN is None)
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+ REPOSITORY_DIR = "data"
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+ LOCAL_DIR = 'data_local'
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+ os.makedirs(LOCAL_DIR,exist_ok=True)
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+
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+ repo = Repository(
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+ local_dir="ocr_data", clone_from=DATASET_REPO_URL, use_auth_token=HF_TOKEN
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+ )
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+ repo.git_pull()
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+
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+ def getIP():
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+ ip_address = ''
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+ try:
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+ d = str(urlopen('http://checkip.dyndns.com/')
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+ .read())
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+
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+ return r.compile(r'Address: (\d+\.\d+\.\d+\.\d+)').search(d).group(1)
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+ except Exception as e:
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+ print("Error while getting IP address -->",e)
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+ return ip_address
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+
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+ def get_location(ip_addr):
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+ location = {}
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+ try:
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+ ip=ip_addr
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+
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+ req_data={
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+ "ip":ip,
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+ "token":"pkml123"
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+ }
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+ url = "https://demos.pragnakalp.com/get-ip-location"
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+
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+ # req_data=json.dumps(req_data)
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+ # print("req_data",req_data)
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+ headers = {'Content-Type': 'application/json'}
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+
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+ response = requests.request("POST", url, headers=headers, data=json.dumps(req_data))
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+ response = response.json()
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+ print("response======>>",response)
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+ return response
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+ except Exception as e:
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+ print("Error while getting location -->",e)
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+ return location
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+
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+ """
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+ Save generated details
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+ """
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+ def dump_json(thing,file):
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+ with open(file,'w+',encoding="utf8") as f:
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+ json.dump(thing,f)
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+
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+ def flag(resume_file_path,get_pdf_name,final_output):
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+
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+ print("saving data------------------------")
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+ # try:
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+ adversarial_number = 0
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+ adversarial_number = 0 if None else adversarial_number
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+
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+ ip_address= getIP()
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+ print("ip_address :",ip_address)
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+ location = get_location(ip_address)
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+ print("location :",location)
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+
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+ metadata_name = datetime.now().strftime('%Y-%m-%d %H-%M-%S')
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+ SAVE_FILE_DIR = os.path.join(LOCAL_DIR,metadata_name)
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+ os.makedirs(SAVE_FILE_DIR,exist_ok=True)
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+ image_output_filename = os.path.join(SAVE_FILE_DIR,'image.png')
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+
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+ try:
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+ Image.fromarray(input_image).save(image_output_filename)
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+ # input_image.save(image_output_filename)
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+ except Exception:
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+ raise Exception(f"Had issues saving np array image to file")
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+
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+ # Write metadata.json to file
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+ json_file_path = os.path.join(SAVE_FILE_DIR,'metadata.jsonl')
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+ metadata= {'id':metadata_name,'method':Method,'file_name':'image.png',
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+ 'generated_text':text_output,'ip':ip_address, 'location':location
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+ }
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+
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+ dump_json(metadata,json_file_path)
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+
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+ # Simply upload the image file and metadata using the hub's upload_file
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+ # Upload the image
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+ repo_image_path = os.path.join(REPOSITORY_DIR,os.path.join(metadata_name,'image.png'))
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+
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+ _ = upload_file(path_or_fileobj = image_output_filename,
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+ path_in_repo =repo_image_path,
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+ repo_id=DATASET_REPO_ID,
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+ repo_type='dataset',
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+ token=HF_TOKEN
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+ )
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+
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+ # Upload the metadata
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+ repo_json_path = os.path.join(REPOSITORY_DIR,os.path.join(metadata_name,'metadata.jsonl'))
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+ _ = upload_file(path_or_fileobj = json_file_path,
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+ path_in_repo =repo_json_path,
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+ repo_id= DATASET_REPO_ID,
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+ repo_type='dataset',
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+ token=HF_TOKEN
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+ )
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+ adversarial_number+=1
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+ repo.git_pull()
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+
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+ url = 'http://pragnakalpdev35.pythonanywhere.com/HF_space_image_to_text'
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+ myobj = {'Method': Method,'text_output':text_output,'img':input_image.tolist(),'ip_address':ip_address, 'loc':location}
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+ x = requests.post(url, json = myobj)
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+ print("mail status code",x.status_code)
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+
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+ return "*****Logs save successfully!!!!"
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+
send_email_user.py DELETED
@@ -1,87 +0,0 @@
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- # from email.mime.multipart import MIMEMultipart
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- # from email.mime.text import MIMEText
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- # from email.mime.image import MIMEImage
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- import smtplib
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-
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- def send_user_email():
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-
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- sender="[email protected]"
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- password="httscgatatbbxxur"
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- reciever="[email protected]"
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-
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- s = smtplib.SMTP('smtp.gmail.com', 587)
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- s.starttls()
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- s.login(sender,password)
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-
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-
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- message = """Subject : Appointment Booking\n\n
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- Hello,
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- Your OCR generated successfully"""
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- s.sendmail(sender, reciever, message)
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- s.quit()
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- mailsend=1
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- print("Send mail successfully")
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- return "Hellowwass"
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-
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- fromadd = "[email protected]"
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- password = "httscgatatbbxxur"
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- # SENDGRID_API_KEY = "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"
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-
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- # def gmail_login():
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- # try:
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- # server = smtplib.SMTP('smtp.gmail.com', 587)
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- # server.starttls()
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- # server.login(fromadd, password)
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- # return server
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- # except Exception as e:
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- # print("*** MAIL ERROR ***"*10)
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- # print(e)
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-
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- # def send_user_email(hostname,text_output,Method):
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-
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- # try:
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- # # attachment = input_img
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- # html_body=""
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- # html_body = f"""<html>
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- # <body>
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- # <p>
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- # {hostname}<br/>
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- # Method: {Method}<br/>
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- # Generated text: {text_output}<br/>
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- # </p>
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- # <br />
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- # </body>
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- # </html>"""
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-
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- # toadd = "[email protected]"
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- # subject = "OCR generated text"
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-
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- # msg = MIMEMultipart("alternative")
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-
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- # msg['From'] = fromadd
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- # msg['To'] = toadd
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- # msg['Subject'] = subject
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-
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- # # part1 = MIMEText(text, "plain")
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- # # part2 = MIMEText(html_body, "html")
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- # # msg.attach(part1)
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-
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- # # part2 = MIMEText('<b>%s</b><br/><img src="cid:%s"/><br/>' % (html_body, attachment), 'html')
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- # part2 = MIMEText(html_body, "html")
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- # msg.attach(part2)
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- # # with open(attachment, 'rb') as fp:
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- # # img = MIMEImage(fp.read())
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- # # img.add_header('Content-ID', '<{}>'.format(attachment))
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- # # msg.attach(img)
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-
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- # server = gmail_login()
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- # print("login success")
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- # temp = server.sendmail(fromadd, toadd, msg.as_string())
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- # print("temp=.", temp)
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- # print("email sent to", toadd)
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-
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- # print("** Mail Successfully Sent !***")
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- # return True
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- # except Exception as e:
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- # print("Error while sending feedback email => ", e)
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- # return False