
When this happens...
New Lead
New or Updated Helpdesk Ticket

Automatically do this!
Text Classification
Language Translation
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when new lead is created
Triggers when the ticket in helpdesk is created or updated with a particular status
Action is the task that follows automatically within your Odoo integrations.
Create a new lead in Odoo CRM.
Use any compatible model from the Hugging Face to classify input text using a ML model.
Use a compatible model from the Hugging Face Hub to translate text from one language to another.

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To start, connect both your Odoo and HuggingFace accounts to viaSocket. Once connected, you can set up a workflow where an event in Odoo triggers actions in HuggingFace (or vice versa).
Absolutely. You can customize how Odoo data is recorded in HuggingFace. This includes choosing which data fields go into which fields of HuggingFace, setting up custom formats, and filtering out unwanted information.
The data sync between Odoo and HuggingFace 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 Odoo and HuggingFace. 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.
Odoo is a comprehensive suite of open-source business applications that covers all your company needs: CRM, eCommerce, accounting, inventory, point of sale, project management, and more. It is designed to streamline business processes and improve productivity by providing a fully integrated and customizable platform.
Learn MoreHugging Face is a leading platform for natural language processing (NLP) and machine learning models. It provides a wide range of pre-trained models and tools to help developers and researchers build, train, and deploy state-of-the-art machine learning applications.
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