APP

Code Overview

At its core, the Python script amalgamates a multitude of libraries within the Python ecosystem. These libraries serve as the backbone, enabling a harmonious integration with the G-mail API.

Furthermore, they facilitate text manipulation tasks and foster interactions with cutting-edge AI capabilities offered by today technology's as open source large language models.

The overarching goal revolves around achieving a comprehensive email automation framework, encompassing tasks from initial processing to intelligent response generation

Clearing Terminal & Color Initialization

The initial steps within the script encompass the clearance of the terminal screen using the command os.system("clear"). This step ensures a clutter-free and clean interface, providing a canvas for a seamless user interaction experience. Concurrently, the script initializes Colorama with init(autoreset=True), a strategic maneuver to enhance the output aesthetics. By enabling colored output, it significantly improves user readability, aiding in a more intuitive comprehension of displayed information throughout the script execution.

Define Scopes & API Key Setup

A critical phase within the script involves the definition of scopes essential for Gmail API operations and the configuration of API keys necessary for pivotal permissions and interactions with dolphin v2 model. The SCOPES variable encapsulates a range of permissions, including the authority to read, send, modify labels, and handle modifications within the Gmail environment. Correspondingly, the openai.api_key statement establishes the connection with llama-cpp-server setting the stage for leveraging its capabilities within the script.

Authentication Function

Central to the script's operation is the authenticate() function. This pivotal function takes charge of managing credentials, ensuring their presence, and validating their integrity. In scenarios where credentials are absent or have expired, this function seamlessly initiates the OAuth flow. By doing so, it procures and stores valid credentials, laying a solid foundation for secure and uninterrupted interactions with the Gmail API.

HTML Tag Removal Function

A utility function, remove_html_tags(text), assumes the responsibility of enhancing text readability within the script. Employing regex (regular expressions), this function meticulously removes HTML tags from provided text strings. This process streamlines the content, ensuring cleaner and more coherent text for further processing, free from any embedded HTML elements.

Fetch Emails Function Initiation

The fetch_emails(creds) function activation marks the commencement of the email processing pipeline. By triggering this function, the script initiates the critical process of retrieving unread emails. This step acts as the gateway for subsequent intricate processing stages within the script, ensuring an uninterrupted flow of incoming emails for further analysis.

Email Fetching & Processing Function

The fetch_emails(creds) function plays a multi-faceted role within the script. Firstly, it constructs the necessary Gmail service required for interactions. Subsequently, it fetches the list of unread messages from the user's inbox. Once the messages are retrieved, the function meticulously iterates through each message, meticulously extracting intricate details embedded within the message headers and content. Furthermore, it carefully inspects timestamps, ensuring a comprehensive assessment of email recency. This meticulous process forms the backbone of the script's ability to filter and process emails based on pre-defined conditions and timestamps.

Classify & Reply Function

The classify_and_reply() function emerges as a pivotal orchestrator within the script's architecture. Tasked with the intricate responsibilities of email classification and intelligent response generation, this function serves as the bridge between email categorization and crafting contextually relevant responses. Leveraging the robust capabilities of OpenAI's GPT-4, this function engages in sophisticated email categorization based on the inherent content and formulates meticulously crafted responses tailored to the contextual essence of the received emails.

Summarization & Response Generation

Intricately entwined within the script's functionality is the generate_agent_response() function. This section of the script skillfully leverages the open source model to summarize email content effectively.

By distilling the essence of the email content into a structured and concise format, this function lays the groundwork for the creation of articulate and contextually-driven responses.

Factoring in various elements such as sender information, subject lines, and the crux of the summarized content, it ensures the delivery of responses that resonate with the essence of the original emails.

Email Reply & Management Functions

This segment of the script orchestrates a holistic approach towards email replies and the streamlined management of various email-related operations. The send_email_reply() function stands as the vanguard, effectively composing and dispatching replies utilizing the capabilities offered by the Gmail API. Simultaneously, it ensures the meticulous marking of original emails as 'read,' fostering an organized email environment. Furthermore, it actively monitors and handles subsequent actions, contingent upon the receipt of further responses to the sent emails, ensuring a comprehensive and streamlined approach to email management.