Gmail Automation Interaction Toolkit:

Automated Emailing with OpenAI Integration and Command-Line Email Management

emi.py - Email Interaction Tool

This script allows users to read from and send emails via the command line, offering functionality to interact with their Gmail in a more flexible manner.

Key Features:

• Read Emails: Can fetch and display emails with options to specify how many emails to read.
• Send Emails: Provides a command-line interface to send emails, allowing users to input the recipient, subject, and body.
• Argument Parsing: Uses argparse to handle input options, making it easy to integrate into other scripts or workflows.

for more scripts using GPT for translation and subtitle check here: Subtitle Management Tools section in the main README.

Usage:

• Read Emails: Use the -r flag to read emails. You can specify the number of emails to read as an argument.
• Send Emails: Use the -s flag followed by the recipient's email address to send an email. The script will prompt for the subject and message body.

Example Command:

# Read the latest 5 emails
python emi.py -r 5

# Send an email
python emi.py -s [email protected]

autogmail.py - Automated Email Sender with OpenAI Integration

This script automates sending emails using Gmail through a scheduled task (like a cron job). It uses the Google API to authenticate and send emails, and OpenAI's API to generate dynamic email content.

Key Features:

• OpenAI Content Generation: Leverages OpenAI's GPT model to create email content based on a predefined prompt.
• Automated Email Dispatch: Configured to send emails at specific intervals using scheduling tools like crontab.
• Custom Email Configuration: Users can set their email address, subject, and utilize dynamic content in the body.

Usage:

• Setup: Ensure credentials.json and token.pickle are placed in the same directory as the script.
• Configuration: Modify the email parameters within the script to match your sender and recipient details.
• Scheduling: Add the script to your crontab or another scheduler to run at your desired frequency.

Example Cron Setup:

# Run every day at 9 AM
0 9 * * * /usr/bin/python3 /path/to/autogmail.py

Google API Authentication Setup

This guide provides a step-by-step process for setting up Google API authentication for your Python projects using credentials.json and token.pickle.

Prerequisites

• A Google Cloud account

Step 1: Google Cloud Project Setup

1. Open Google Cloud Console: Visit the Google Cloud Console.
2. Create or Select a Project: If you haven't already created a project:
   • Click on the project dropdown next to the Google Cloud Platform logo.
   • Click New Project, give it a name, and click Create.

Step 2: Enable APIs

1. Enable Gmail API:
   • Navigate to the Gmail API page.
   • Click Enable to activate the Gmail API for your project.

Step 3: Configure Credentials

1. Navigate to Credentials:
   • Go to the Credentials tab on the left sidebar in the Google Cloud Console.
2. Create OAuth Client ID:
   • Click Create credentials and select OAuth client ID.
   • Choose Desktop app as the Application type.
   • Click Create.
   • In the window that appears, click Download JSON.
   • Rename the downloaded file to credentials.json.
   • Move this file to the same folder location as your Python script.

Security Note

Keep your credentials.json and token.pickle secure, especially if you are using shared machines or deploying your application publicly. Consider using environment variables or other methods to protect sensitive information.