8/27/2024

Creating an Email Sorting and Prioritization Tool with Ollama

In the ever-evolving world of technology, managing emails has become more critical than ever. With countless emails flooding our inboxes every day, the ability to sort and prioritize them efficiently is a game-changer. In this blog post, we will delve into how to create an Email Sorting and Prioritization Tool using the Ollama platform, a powerful AI tool that leverages local large language models (LLMs) for various practical use cases.

Why Email Management Matters

Email management is essential in both personal & professional settings. A cluttered inbox can lead to missed opportunities, delayed responses, & increased stress. Developing a custom email sorting tool allows users to:

Boost Productivity: By efficiently sorting important emails, individuals can focus on what truly matters.
Reduce Stress: An organized inbox is easier to manage, leading to a more relaxed mindset.
Enhance Communication: Quickly sorting & prioritizing emails ensures timely communication.

In essence, developing an email management tool not only helps in keeping inboxes clean but also promotes better work habits.

What is Ollama?

Ollama is a revolutionary platform that enables users to run large language models locally. It allows for seamless interaction with LLMs that can handle various tasks such as coding, summarization, & even email sorting! The models are available in different sizes, making it easy to choose one that suits your needs.

Key Features of Ollama:

Local Model Execution: Run AI models without relying on cloud services.
User-Friendly Interface: Simplified tools for managing complex tasks.
Flexibility: Adapt the model according to user preferences & use cases.

Developing the Email Sorting Tool

Step 1: Setting Up Ollama

To start off, ensure that you have the Ollama platform installed on your local machine. Visit the official Ollama download page for installation instructions. Once installed, you can opt for a model like Mistral or Llama to get started.

Step 2: Designing the Functionality

The email sorting tool will harness the Ollama AI to achieve the following functionalities:

Categorization of Emails: Automatically categorize emails into folders (e.g., work, personal, promotions).
Prioritization: Sort emails based on urgency using specific keywords or senders.
Spam Detection: Filter out unwanted or spam emails efficiently.

Step 3: Writing the Code

Below is a simple outline of how you can start coding the email sorting functionality using Python and Ollama's API.

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import ollama  # Import Ollama's library

# Define a function to sort emails
def sort_emails(email_list):
    responses = []
    for email in email_list:
        # Categorize the emails with Ollama's API
        response = ollama.chat(model='mistral', messages=[
            {
                'role': 'user',
                'content': f'Categorize this email: {email}'
            }
        ])
        responses.append(response['message']['content'])
    return responses

# Example email list
emails = [
    'Work meeting agenda for Monday',
    'Congratulations! You have won a prize!',
    'Your subscription is about to expire',
]

# Sort the emails
sorted_emails = sort_emails(emails)
print(sorted_emails)

Step 4: Integrating with Gmail API

To connect your script to Gmail, you’ll need to set up a Google API Client. Follow these steps:

Go to the Google Developers Console and create a new project.
Enable the Gmail API for the project.
Create credentials & download the
1credentials.json
file.
Use the following code to authorize your app & connect to Gmail:

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from google.oauth2 import service_account
from googleapiclient.discovery import build

# Load the credentials
credentials = service_account.Credentials.from_service_account_file(
    'path/to/credentials.json'
)

gmail_service = build('gmail', 'v1', credentials=credentials)

Step 5: Filtering Emails

The next step involves fetching & filtering emails based on priority. Here’s a snippet for searching & filtering unread emails:

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def fetch_unread_emails(gmail_service):
    results = gmail_service.users().messages().list(userId='me', labelIds=['INBOX'], q='is:unread').execute()
    messages = results.get('messages', [])
    return messages

# Fetch unread emails
unread_emails = fetch_unread_emails(gmail_service)

# Process each unread email
for email in unread_emails:
    # Use the previously defined sort_emails function to categorize
    email_content = get_email_content(email)
    categorization = sort_emails([email_content])  # Pass the email content

Step 6: Implementing Spam Filtering

Integrating spam filtering will also enhance your email sorting tool. You can utilize existing spam detection APIs or build a custom one using Ollama. For example:

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def is_spam(email_content):
    response = ollama.chat(model='mistral', messages=[
        {'role': 'user', 'content': f'Is this email spam: {email_content}'}
    ])
    return 'spam' in response['message']['content'].lower()

Step 7: User Interface Development

You can connect your backend sorting logic with a simple frontend interface using Flask or Django. This way, users can interact with your tool more naturally.

Promoting Your Tool

As you roll out your Email Sorting & Prioritization Tool, promoting it effectively is essential.

START with Social Media: Share your creation on platforms like Twitter & LinkedIn.
Create a Demo Video: Showcase the capabilities of your tool on platforms like YouTube.
Leverage Influencers: Engage with productivity bloggers or YouTubers to review your tool.

Arsturn Integration: Take It to the Next Level

To truly enhance your email management experience, consider exploring Arsturn. With Arsturn, you can instantly create custom ChatGPT chatbots on your website that can interact with users, assist in further applications of your email tool, and provide them with quick answers to common questions. Imagine having a chatbot that not only enables users to manage their emails but also helps them with other inquiries before they even ask!

Quick Setup: Arsturn’s no-code AI chatbot builder makes it easy to create and engage your audience.
Customizable Responses: Tailor the chatbot to meet specific needs of your users, offering a unique experience.
Valuable Insights: Gain analytics on user interaction, helping refine both your tool and chatbot for better engagement.

Conclusion

Creating an Email Sorting and Prioritization Tool with Ollama is a fantastic way to streamline email management and enhance productivity. With Ollama's powerful capabilities, the possibilities are endless. Combine this with the engaging interface of Arsturn, and you’ve got the recipe for an effective email management solution. So why wait? Start building your tool today & see the difference it can make!