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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Image
Triggers when a new image is generated.
New Template
Triggers when new template is created.
Update Template
Triggers when an existing template is updated.
Do thisActions
Action is the task that follows automatically within your Bannerbear integrations.
Create Image
Ganerate a new image
Join PDF Files
Join multiple PDF files into single PDF
Get an Image
Get a specific image by UID, or list all images if no UID is provided.
Create QA Source
Create a QA source for a chatbot specified by chatbot uuid
Create URL Source
Creates a URL source for a chatbot specified by chatbot uuid.
Create Source Tag
Create a source tag for a chatbot.
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Frequently Asked Questions
To start, connect both your Bannerbear and GPT-trainer accounts to viaSocket. Once connected, you can set up a workflow where an event in Bannerbear triggers actions in GPT-trainer (or vice versa).
Absolutely. You can customize how Bannerbear data is recorded in GPT-trainer. This includes choosing which data fields go into which fields of GPT-trainer, setting up custom formats, and filtering out unwanted information.
The data sync between Bannerbear and GPT-trainer typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Bannerbear and GPT-trainer. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Bannerbear
Bannerbear helps you auto-generate social media visuals, e-commerce banners, dynamic email images, and more
Learn MoreAbout GPT-trainer
GPT Trainer is a platform designed to enhance and customize the training of AI models, particularly those based on the GPT architecture. It provides tools and resources for developers and researchers to fine-tune and optimize AI models for specific tasks and applications.
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