Tweet Generator Using Personas and OpenAI API

Introduction

To effectively disseminate information and market your product, campaign, or story, you need a strong media presence. Many people only become interested in a product if it has reviews and a notable online profile. Building on my previous comment and tweet generator, this project aims to create more customized comments and tweets.

This function is a part of a larger project that I am actively engaged in. The project itself is a Serverless Web Application built on AWS, utilizing services such as DynamoDB for database management, Lambda Functions written in Node.js 18.x for serverless computing, API Gateway for routing, and S3 for storage. For the front-end, I employed React to build a dynamic and responsive user interface. Due to confidentiality agreements with other parties involved, I'm unable to share the full project details. However, to showcase some of the project's functionalities, I've developed a scaled-down version in python, but recommened running this in Google Colab, which replicates one of the important aspects of the project.

WHY USE IT ?

Imagine Business A, which has a marketing department responsible for promoting their products. Unfortunately, they face competition from Business B, who has hired individuals to spread misinformation about Business A. Due to other responsibilities, Business A's marketing department can't respond promptly, causing their reputation to suffer. This project offers a solution to such scenarios.

Project Overview

• Generating Personas: This is done separately and is recommended to be carried out within Chat GPT. I found this approach to be more straightforward than scripting it, as scripts often require significant customization and may not work as expected due to extra inputs from the GPT API.
  • The benefit of using multiple personas is that they can be tailored to emulate the target audience in terms of age, region, political affiliation, hobbies, etc. As a result, the generated tweets and comments appear more authentic.
• Generating Comments and Tweets: This is done based on the personas.

Works For

• Social Media Campaigns
• Brand Voice Consistency
• Content Strategy
• Community Engagement
• And More

Features

• Persona-Based: Generate tweets that align with pre-defined personas.
• Efficient: Generate multiple tweets in a matter of seconds.
• Customizable: Adjust model parameters and prompt to suit your needs.
• Context-Aware: Includes the ability to incorporate background text and current events.

Getting Started

To get started with this project:

1. Clone the repository / or copy code into Google Colab
2. Install Dependencies: If running locally, install the required Python packages.
3. Set OpenAI API Key: Insert your OpenAI API key for authentication.
4. Configure Paths: Connect Google Drive and specify the path to your personas.csv file or another file of your choice.

• Sample Personas: See what a personas file should look like here.

5. Define system_text: This is a background field. Use it to add recent world events and other details, as GPT is not trained on them.
6. Define Prompt: Add a prompt to guide the tweet generation. This is typically a sentence or two that the generated tweets and comments will be based on.
7. Run the Notebook: Execute the notebook cells sequentially to generate tweets based on the personas.

Input Requirements and Customization

To use this tool effectively, ensure your personas.csv file is well-structured. It should contain the following columns for each persona:

• location
• writing style
• tone and voice
• key topics and interests
• beliefs and values
• target audience
• use of hashtags and mentions
• existing social media presence
• media and visuals
• current events and timeliness
• geographical and cultural context

Customizing Personas

Feel free to tailor the personas to your specific needs. Columns can be added, removed, or modified, and the script can be easily adjusted to accommodate these changes.

Recommendations

• Make sure the personas.csv file is accurate to generate the most contextually appropriate tweets.
• Experiment with model parameters to fine-tune the generated text.

Conclusion

This tool offers a streamlined way to generate tweets and comments based on personas, making it easier to maintain a consistent voice and tone across social media channels. Contributions to this project are welcome, as are adaptations to meet your specific needs.

PS

Due to ongoing changes at platform X, its API is currently non-functional for automatically posting tweets and comments. Manual input or third-party tools are required for now.