Redbook is a collection of functions designed to automate various tasks for a Facebook business page. These modules allow you to automatically post images or quotes stored in a database at scheduled intervals or using a time loop. Additionally, the modules can collect all posts from your Facebook page and store them locally in a database, bypassing the need for Facebook webhooks, which have strict production usage limitations until your application and business are approved. The modules also scan posts for comments, indexing them into a comments table that can be used for automatic replies.
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Post images and quotes: Schedule or set up a time loop to automatically post images and quotes from your database to your Facebook business page.
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Collect and store posts: Retrieve all posts from your Facebook page and save them to a local database, allowing you to avoid using Facebook webhooks with strict production usage limitations.
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Index and reply to comments: Scan the posts for comments, index them into a comments table, and iterate through them to generate automatic replies.
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Generate automatic replies with OpenAI ChatGPT: Send user-inputted text to the OpenAI ChatGPT completion engine to generate a response. User questions are filtered by adding [Image] or [Question] before the text prompts. Image requests are processed using the DallE API.
To set up the environment variables, you need to create or copy a .env file based on the provided example.env. Fill in the appropriate API keys and other settings to ensure the variables are loaded correctly.
This function enables you to post images or quotes stored in a database to your Facebook business page at scheduled intervals or using a time loop.
Use case: Automate the process of posting images or quotes to your Facebook page, saving time and ensuring consistent content updates.
Retrieve all posts from your Facebook page and save them locally in a database, bypassing the need for Facebook webhooks.
Use case: Collect and store post data without relying on Facebook webhooks, which have production usage limitations.
Scan the posts for comments, index them into a comments table, and iterate through them to generate automatic replies.
Use case: Efficiently manage user comments and provide timely responses to user inquiries or feedback.
Send user-inputted text to the OpenAI ChatGPT completion engine to generate a response. Filter user questions by adding [Image] or [Question] before the text prompts. Process image requests using the DallE API.
Use case: Provide quick and relevant responses to user questions, improving user engagement and satisfaction.