Connect Gumlet and HuggingFace
Integrate Gumlet with HuggingFace to automate workflows, sync data between apps, and eliminate repetitive tasks with AI-powered automation.
Text Classification with HuggingFace when New Video Uploaded to Gumlet
Language Translation using HuggingFace when New Video Uploaded to Gumlet
Text Classification with HuggingFace when Playlist Assets Created in Gumlet
Language Translation using HuggingFace when Playlist Assets Created in Gumlet
Text Classification with HuggingFace when Collections Created in Gumlet
Popular Gumlet + HuggingFace flows
Start from a real workflow other teams are already running.
Choose a trigger
Gumlet
When this happens...
New Video Uploaded
Playlist Assets Created
Collections Created
New Video Asset
List Updated Videos
Vedio Asset Created
Choose an action
HuggingFace
Automatically do this!
Text Classification
Language Translation
Text Classification with HuggingFace when New Video Uploaded to Gumlet
Use this flowLanguage Translation using HuggingFace when New Video Uploaded to Gumlet
Use this flowText Classification with HuggingFace when Playlist Assets Created in Gumlet
Use this flowLanguage Translation using HuggingFace when Playlist Assets Created in Gumlet
Use this flowText Classification with HuggingFace when Collections Created in Gumlet
Use this flowLanguage Translation using HuggingFace when Collections Created in Gumlet
Use this flowText Classification with HuggingFace when New Video Asset in Gumlet
Use this flowLanguage Translation using HuggingFace when New Video Asset in Gumlet
Use this flowText Classification with HuggingFace when List Updated Videos from Gumlet
Use this flowLanguage Translation using HuggingFace when List Updated Videos from Gumlet
Use this flowSupported Triggers & Actions
Everything you can automate between Gumlet and HuggingFace.
When this happensTriggers
A trigger is an event that starts a workflow.
New Video Uploaded
Triggers when a new video is uploaded
Playlist Assets Created
Trigger when new playlist assets created.
Collections Created
Trigger when new Collections created.
New Video Asset
Returns video assets that were added to a specified Gumlet collection since the last check.
List Updated Videos
Retrieves video assets from the specified Gumlet collection that were created or updated since the configured scheduled time.
Vedio Asset Created
Trigger when a Video Asset is created on Gumlet.
Do thisActions
Action is the task that follows automatically within your Gumlet integrations.
Upload video
Upload a video to your gumlet account.
Create Asset
Create a new Asset.
Update Video
Update a video's metadata and delivery settings in Gumlet — edit title, description, tags, format, image overlay, and audio/subtitle tracks.
Search Assets
Search Assets in Collections.
Create Playlist
Create Playlist in Collection.
Search playlists
Search playlists.
Learn how to build your first workflow
Follow a simple walkthrough to create, test, and launch your first automation.
- 1
Connect your apps
Link the apps you want to automate.
- 2
Configure your workflow
Set up triggers, actions, and map your data.
- 3
Test & publish
Test your workflow and publish it.
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Just describe the task in plain English. viaSocket AI selects the right apps, builds the workflow, maps the fields, and prepares everything for review before you publish.
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About Gumlet
Gumlet is a powerful image and video optimization platform designed to deliver high-quality media content with minimal load times. It provides automatic resizing, compression, and delivery of images and videos, ensuring optimal performance across all devices and platforms.
Learn moreSimilar apps
About HuggingFace
Hugging 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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Frequently Asked Questions
Sign up for a free viaSocket account, then authorize both your Gumlet and HuggingFace accounts. From there, pick a trigger in one app and an action in the other. Your first workflow can be live in under five minutes.
Yes. viaSocket uses instant triggers where available, so data moves between Gumlet and HuggingFace as soon as the event happens. Scheduled polling triggers run at a maximum interval of 15 minutes.
Yes. You can map specific fields, apply filters to skip records that do not match your conditions, and transform values before they reach HuggingFace. No coding required.
Yes. You can set up a workflow where Gumlet triggers actions in HuggingFace, and a separate workflow where HuggingFace triggers actions in Gumlet. Both run independently and in real time.
viaSocket logs every run so you can see exactly what succeeded and what failed. Failed tasks can be retried from the dashboard without re-configuring the workflow.
Yes, there is a free plan that covers basic workflows between Gumlet and HuggingFace. Paid plans unlock higher task limits, faster polling, and advanced features like multi-step workflows and conditional logic.
No. The entire Gumlet and HuggingFace integration is built through a visual, point-and-click interface. Code blocks are available if you want them, but they are never required.
