metadata

title: Ttvemaildrafter
emoji: 📉
colorFrom: purple
colorTo: purple
sdk: gradio
sdk_version: 4.8.0
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

TTV Email Draft Generator - ReadMe

Overview

The TTV Email Draft Generator is a tool designed to streamline email response processes for TTV. Leveraging OpenAI's GPT models, it assists in crafting coherent, contextually relevant email drafts quickly.

Key Features

AI-generated email responses.
Customizable response tone and length.
Integration with GPT-3.5 and GPT-4 models.

Functions Description

`generate_ttv_email_response(email_content, bullet_points, tone, length, model_choice)`

This function generates an email response based on provided content, bullet points, tone, and length, interfacing with the chosen AI model (GPT-3.5 or GPT-4) to create a draft that aligns with TTV's communication style.

`sig_figs(x, precision)`

Rounds a number to a specified number of significant figures, useful for displaying cost estimates with appropriate precision.

`calculate_token_usage_price(response, model_choice)`

Calculates the cost of using the OpenAI API, based on the number of tokens used in the request and response, adjusting for the selected model.

`word_count(word)`

Counts the number of words in a given string, used to set the 'Matching Client's Email Length' option.

`get_email_length(email_content, length)`

Determines the desired length of the email response based on user input and the original email's length, key for customizing the AI-generated response's length.

`gradio_interface()`

Defines and launches the Gradio interface, setting up input fields, output displays, and the overall application layout for intuitive use.

Deployment

Hosted on Hugging Face Spaces for easy access and usability.

Usage

Access via the Hugging Face Spaces link, input original email content, specify bullet points, select desired tone and length, and choose an AI model. Submit to receive a generated response and cost estimate.

Future Enhancements

Potential updates include direct email client integration, a customized user interface, and further AI response quality refinements.

For detailed instructions and support, refer to the user manual or contact the development team.