CONTENT CREATION
Caption images dropped in Slack on demand
Triggered when a team member uploads an image to a Slack channel, generates an alt-text caption with HuggingFace and replies in-thread so the poster can copy a ready-to-use…
How it runs
The automated pipeline, trigger to output.
- TriggerImage uploaded to Slack channelSlack
- LogicConfirm attachment is an image
- ActionFetch image file from SlackSlack
- ActionGenerate alt-text with HuggingFace modelHugging Face
- OutputReply in thread with suggested alt-textSlack
What it does
When someone uploads an image into a designated Slack channel, this workflow captions it with a HuggingFace model and replies in the same thread with a clean, paste-ready alt-text description.
When to use it
Use it as a self-serve helper for writers, social managers, and support agents who need an accessible description right now while composing a post or doc, without leaving Slack or opening the asset library.
How it works
- 1A new file shared in the watched Slack channel triggers the run.
- 2A filter confirms the attachment is an image and ignores other file types.
- 3The image is fetched from Slack's file URL.
- 4A HuggingFace image-to-text model generates a descriptive caption.
- 5The workflow replies in the original Slack thread with the suggested alt-text and a short reminder to tweak it for context.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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