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Email Automation with AI-Powered Summarization

Last updated on 14 days ago
K
KevinMember
Posted 14 days ago
Use AI to summarize a long email and automate sending responses.

import smtplib
from email.mime.text import MIMEText
from transformers import pipeline

# Load a text summarization model
summarizer = pipeline("summarization")

# Sample email content
email_body = """
Hi Team,

I wanted to update you on the project status. We have completed phase one,
but there are delays due to resource allocation in phase two. We need approval
for additional budget and a timeline extension of two weeks.

Best regards,
Project Manager
"""

# Summarize the email
summary = summarizer(email_body, max_length=50, min_length=25, do_sample=False)
summary_text = summary[0]['summary_text']

# Automate response
response = f"Thanks for the update. Approved for additional budget and extension. Summary: {summary_text}"

# Send email
def send_email(to_email, subject, body):
 from_email = "your_email@example.com"
 smtp_server = "smtp.example.com"
 password = "your_password"

 msg = MIMEText(body)
 msg["Subject"] = subject
 msg["From"] = from_email
 msg["To"] = to_email

 with smtplib.SMTP_SSL(smtp_server, 465) as server:
 server.login(from_email, password)
 server.sendmail(from_email, to_email, msg.as_string())

send_email("recipient@example.com", "Project Update Response", response)
print("Email sent!")

K
KevinMember
Posted 14 days ago
Email Summarization and Response Automation: Useful for managing high email volumes.
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