Build a Python Bot That Sends Personalized Love Letters with GIFs via Email

Introduction

This article demonstrates a playful Python project that combines web scraping, text generation, AI chat, and email automation to simulate a virtual girlfriend sending personalized love letters with GIFs.

1. Scrape GIF Images

Three GIF URLs are stored in a list, a random one is selected, downloaded with requests.get(url).content, and saved locally.

def getbb():
    w0='https://img1.baidu.com/it/u=1762637264,598758602&fm=26&fmt=auto&gp=0.jpg'
    w1='https://img1.baidu.com/it/u=2231058723,1803013600&fm=11&fmt=auto&gp=0.jpg'
    w2='https://img0.baidu.com/it/u=3960011140,3634140813&fm=11&fmt=auto&gp=0.jpg'
    wlist=[w0,w1,w2]
    global i
    i=random.randint(0,2)  # random GIF index
    url=wlist[i]
    req=requests.get(url).content
    with open(f'wbb{i}.gif','wb') as p:
        p.write(req)

2. Generate Romantic Phrases

The function fetches a random page from a Chinese poetry site, parses it with BeautifulSoup, extracts love phrases, and returns one randomly.

def getwords():
    texts=[]
    url='https://www.duanwenxue.com/huayu/lizhi/list_{}.html'.format(random.randint(1,114))
    response=requests.get(url)
    texts.append(response.text)
    articles=[]
    for text in texts:
        soup=BeautifulSoup(text,'lxml')
        arttis=soup.find('div', class_='list-short-article').find_all('a',{'target':'_blank'})
        articles.extend([a.text.strip() for a in arttis])
    todaywords=articles[random.randint(0,len(articles)-1)]
    return todaywords

3. AI Reply via Qingyunke

The selected phrase is sent to the free Qingyunke chatbot API, which returns an AI‑generated reply.

def qingyunke(msg):
    url=f'http://api.qingyunke.com/api.php?key=free&appid=0&msg={msg}'
    html=requests.get(url)
    return html.json()["content"]

4. Send Email with 163 SMTP

The script composes an HTML email that includes the love phrase, the AI reply, and the previously downloaded GIF, then sends it using the 163.com SMTP server. Users need to fill in their 163 email address and generated authorization code.

def sendemail():
    msgword=getwords()
    res=qingyunke(msgword)
    xhx='your_163_email'
    pwd='your_authorization_code'
    wy163list=[xhx]
    host_server='smtp.163.com'
    sender=f'{xhx}@163.com'
    receiver=f'{wy163list[0]}@163.com'
    mail_title='Ice Ice sends you a new email'
    mail_content=f"Dear {wy163list[0]}, I am Ice Ice.<p>Your previous message: {msgword}</p><p>My reply: {res}</p>"
    msg=MIMEMultipart()
    global i
    with open(f'wbb{i}.gif','rb') as f:
        msgImage=MIMEImage(f.read())
    msgImage.add_header('Content-ID','<image1>')
    msg.attach(msgImage)
    msg['Subject']=Header(mail_title,'utf-8')
    msg['From']=Header('Ice Ice','utf-8')
    msg['To']=receiver
    msg.attach(MIMEText(mail_content,'html'))
    try:
        smtp=SMTP_SSL(host_server)
        smtp.set_debuglevel(1)
        smtp.ehlo(host_server)
        smtp.login(sender,pwd)
        smtp.sendmail(sender,receiver,msg.as_string())
        smtp.quit()
        print('邮件发送成功')
    except smtplib.SMTPException:
        print('无法发送邮件')

5. Full Script

The complete code combines the above functions and runs them when the script is executed.

# -*- coding: utf-8 -*-
from bs4 import BeautifulSoup
import random, requests, smtplib
from smtplib import SMTP_SSL
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart
from email.header import Header
from email.mime.image import MIMEImage

# Functions getbb, getwords, qingyunke, sendemail defined as above

if __name__=='__main__':
    getbb()
    sendemail()

Conclusion

The project showcases how Python can be used for web scraping, text processing, AI interaction, and email automation, providing a fun example that can be extended or adapted for other automated messaging tasks.