Connect Bannerbear and YourGPT to Build Intelligent Automations
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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.
Message Received
Triggers when a new message is received in your YourGPT chatbot session.
User Message Sent
Triggers when a user sends a message to the YourGPT chatbot in an active session.
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.
Send Message
To send a new message.
Create New Session
To create a new Session
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Frequently Asked Questions
To start, connect both your Bannerbear and YourGPT accounts to viaSocket. Once connected, you can set up a workflow where an event in Bannerbear triggers actions in YourGPT (or vice versa).
Absolutely. You can customize how Bannerbear data is recorded in YourGPT. This includes choosing which data fields go into which fields of YourGPT, setting up custom formats, and filtering out unwanted information.
The data sync between Bannerbear and YourGPT 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 YourGPT. 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 YourGPT
YourGPT is an advanced AI tool designed to assist users in generating human-like text based on the input provided. It leverages state-of-the-art machine learning models to understand and produce text that is coherent and contextually relevant, making it ideal for content creation, customer support, and more.
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