Generate Tweets and automate your Twitter account using Open AI

In this episode, we'll learn how to build an app to generate Tweets and automate your Twitter account using Open AI.

Features Discussed:

1. Table Component (Time: 04:18)
   Learn how the table includes fields for Tweet Title, Content, Created Date, Tweeted Date, Status, OpenAI Prompts, Tweet Image Link, URL, ID, Retweets, Favorites, and more. Integration with Twitter Pipe allows for seamless tweet management, including sending tweets, tracking their status, and scheduling future posts.
2. Pipes (Time: 10:12)
   Learn how the practical implementation of Twitter Pipes works to fetch, manipulate, and process data from Twitter feeds, providing customized and automated content handling.
3. Pipes (Time: 11:59)
   Learn how to implement OpenAI Pipes with the necessary API key, leveraging powerful AI-driven features.
4. Record Rules (Time: 14:00)
   Learn how to use OpenAI pipes with forms and record rules, generating tweets using the Q&A model and images using DALL-E based on dynamic prompts.
5. Table Rules (Time: 15:41)
   Learn how to set up a rule that automatically sets the current date and time after a record is created.
6. HTML Component (Time: 18:29)
   Learn how to create custom content for titles using the HTML component.
7. Record Rules (Time: 23:43)
   Learn how to set up conditions to trigger a tweet with an image when the status is 'Sent,' capturing the Tweet ID, image, and URL, and storing them in designated fields.
8. Tweet Scheduler (Time: 29:10)
   Learn how to create and schedule tweets for a future date using a form. This enables users to manually set up tweets, decide when they should be published, and manage tweet timing efficiently within Tadabase.
9. Calendar Component (Time: 30:38)
   Learn how to use the Calendar Component to display scheduled tweets and their statuses. This feature helps manage tweet schedules, track live tweet times, and monitor their status directly within Tadabase.
10. Label Color Rule (Time: 31:52)
    Learn how to implement label color rules within Tadabase, allowing conditional formatting based on specific criteria (e.g., changing label color based on record status).
11. Scheduled Tasks (Time: 34:34)
    Learn how to create a scheduled task in Tadabase that syncs data from Twitter to automatically update the number of retweets and favorites for tweets.
12. Search Component (Time: 38:07)
    Learn how the search component filters tweets based on specific criteria, such as title, date, and category.
13. Custom Component (Time: 41:02)
    Learn how to display top-performing tweets based on retweets and favorites.
14. Charts (Time: 42:43)
    Learn how to create charts within Tadabase to visualize various tweet-related data points, including categories like content type or hashtag usage, as well as engagement metrics like retweets, favorites, and overall performance.

Transcript Summary

Introduction

Hey everybody, and welcome back to another episode of Build It with Tadabase. On today's episode, we're talking about Twitter and OpenAI, and we're using these two together inside a database application. This integration gives us the ability to automatically generate, schedule, and publish tweets.

Application Overview

We're building out three different pieces to this application:

1. Automatic Tweet Generation: We'll automatically generate tweet content and images based on specific prompts. For example, we'll create a tweet to announce updates to our PDF reports. You'll be able to preview the generated content and image, delete it if the content is off, or edit it before publishing.
2. Tweet Scheduler: This feature allows for a more manual process, where you write and schedule tweets yourself without relying on OpenAI. Once scheduled, a background task will check the scheduled tweets daily and publish them at the specified time.
3. Tweet Dashboard: This dashboard tracks and displays data about your tweets, such as total favorites and retweets. You’ll be able to see which tweets performed best and filter information as needed.

Building the Application

Automatic Tweet Generation

This feature involves generating a tweet and an image using OpenAI and then giving the user the ability to publish it directly from the application.

1. Data Table Setup:

• Tweet Title: To identify the tweets in a user-friendly way.
• Tweet Content: Where the actual tweet text will be stored.
• Created Date and Tweeted Date: Two date fields to track when the tweet is created and when it is published.
• Status: A field to indicate whether the tweet is sent or unsent.
• OpenAI Prompts: Fields to input the prompts for tweet content and image generation.
• Tweet Image Link and Text: Fields to store the link to the generated image and the image data itself.
• Tweet URL and ID: Fields to store the URL and ID of the tweet after it’s published.
• Total Retweets and Favorites: Fields to track engagement metrics.
• Tweet Image: A file field for uploading images in the manual tweet process.
• Scheduled Field: Indicates whether the tweet is scheduled and the date it’s scheduled for.

1. Integration with Pipes:

• Twitter Pipe: For sending tweets and retrieving tweet status.
• OpenAI Pipe: For generating tweet content and images.

1. Page Builder:

• Tweet Generator: A page where users can generate and preview tweets before publishing them.
• Custom Component: Used to display tweets as they would appear on Twitter.

Tweet Scheduler

1. Form for Scheduling Tweets: Users can manually create and schedule tweets for a future date.
2. Calendar Component: Displays scheduled tweets and their statuses.
3. Automation Setup: A scheduled task that runs daily to send out tweets that are due for publication.

Tweet Dashboard

1. Dashboard Setup:

• Search Component: To filter tweets based on title, date, and category.
• Table Component: Lists all tweets with relevant data.
• Custom Components: Displays top-performing tweets based on retweets and favorites.
• Charts: Visualize data such as tweet categories and engagement metrics.

1. Syncing Tweet Data:

• Scheduled Task: Syncs data from Twitter to update retweets and favorites.
• Task Component: Allows users to manually trigger the sync process from the dashboard.

Conclusion

That's it for this week's episode of Build It with Tadabase. I hope you found this tutorial helpful in understanding how to integrate Twitter and OpenAI into a database application. Thank you for watching, and I'll see you next week. Take care, everybody!