Integrations / Artificial Intelligence
Manage Hugging Face dataset tags from WhatsApp
Flann connects Hugging Face to the WhatsApp chat you already run your business from. You ask, and Flann picks the right Hugging Face action. Hugging Face works best with good instructions and good context. Flann supplies both. It knows your business from the apps you have connected, so the request it sends to Hugging Face is specific and the results need less fixing.
135 actions in Hugging Face. 86 only look things up, and 49 create, update, send or delete. You connect with a one-click sign-in.
What you can ask Flann to do in Hugging Face
Type it or say it in a voice note. Flann works out which Hugging Face action you mean.
“Show me my dataset rows in Hugging Face.”
“Show me my repository files in Hugging Face.”
“Show me my dataset first rows in Hugging Face.”
“Create a discussion comment in Hugging Face.”
“Create a paper comment in Hugging Face.”
“Delete the network CIDR list in Hugging Face.”
What Flann can work with in Hugging Face
Hugging Face gives Flann 135 actions across 84 kinds of record. These are the ones you are most likely to use.
| Record | What Flann can do | Actions |
|---|---|---|
| Dataset tags | deletelook up | 2 |
| Spaces tags | createdelete | 2 |
| Discussions | createdeletelook up | 4 |
| Datasets | look upsearch | 3 |
| Avatars | look up | 2 |
| Collections | createlook up | 2 |
| Notifications | deletelook up | 2 |
| Social handles | look up | 2 |
How the same dataset tag job compares, in Hugging Face directly and through Flann.
| Compare | Opening Hugging FaceLog in, find it, do it | Hugging Face through FlannAsk and get it done |
|---|---|---|
| Getting started on a job | Open the app and find the right page | A WhatsApp message, typed or spoken |
| Finding answers about dataset tags | Filters and searches you run yourself | 86 look-ups, answered straight away |
| Making changes | Typed in by hand | 49 changes, made from a message |
| Hugging Face records | All of them, one screen at a time | 84 kinds, from one chat |
| Getting connected | Nothing new to set up | One sign-in to Hugging Face |
YesPartlyNo
Step by step: Hugging Face jobs you can hand to Flann
What happens between your message and the result in Hugging Face.
Create a discussion from a voice note
- You message Flann on WhatsApp: “Create a discussion in Hugging Face with these details.”
- Flann runs
List Discussionsin Hugging Face and shows you what it found. - Flann runs
Create Discussionin Hugging Face. - Flann creates it in Hugging Face and confirms in the chat.
Get answers about your members
- You message Flann on WhatsApp: “What is the latest on our members in Hugging Face?”
- Flann runs
Get Organization Membersin Hugging Face and shows you what it found. - Nothing in Hugging Face is changed: these are look-ups, so they run straight away.
Check your datasets from WhatsApp
- You message Flann on WhatsApp: “Show me where our datasets in Hugging Face stand.”
- Flann runs
List DatasetsandGet Dataset Infoin Hugging Face and shows you what it found. - Nothing in Hugging Face is changed: these are look-ups, so they run straight away.
The Hugging Face jobs you can stop doing yourself
You stay in charge of what goes out. Flann does the reading, the drafting and the chasing.
Product descriptions in your tone
Today
New stock needs descriptions, and writing them one by one is slow. Generic AI copy sounds nothing like you.
With Flann
“Write descriptions for the new candles using Hugging Face, in our usual style.”
Each draft is checked for missing details before you see it.
What you stop doing: You no longer write each description from a blank page.
Handing a task to an agent
Today
Some jobs have several stages: pull the data, process it, write it up. Running them by hand means checking in at every step.
With Flann
“Have Hugging Face prepare the weekly stock report and tell me when it’s ready.”
Flann starts the task in Hugging Face, follows its progress and checks the output when it finishes. A short summary lands in WhatsApp, with anything that looks off flagged.
What you stop doing: Babysitting a tool meant to save you effort is no longer necessary.
More on this: how to hand repetitive tasks to an AI agent on WhatsApp.
How Flann connects to Hugging Face
- In Flann, go to Connectors and find Hugging Face.
- Sign in to your Hugging Face account on the secure page that opens and allow access. There is no developer account or API key to set up.
- Go back to WhatsApp and ask for what you need. Flann chooses the Hugging Face action and fills in the details.
Reading from Hugging Face is instant. Hugging Face stays connected until you remove it in Connectors.
Ways to use Hugging Face with Flann
Add a specialist
Flann uses Hugging Face for the jobs it is built for, then brings the result back into your chat.
No new app to learn
You keep talking to Flann. Hugging Face works in the background.
One conversation, many tools
Ask Flann for the outcome. It decides when Hugging Face is the right tool and uses it.
Everything Flann can do in Hugging Face
All 135 Hugging Face actions, as Flann sees them.
Looks up 86
- Filter dataset rows
- Generate Chat Completion
- Generate Text Embeddings
- Get Authenticated User Info
- Get Daily Papers
- Get Dataset First Rows
- Get Dataset Info
- Get Dataset Rows
- Get Discussion Details
- Get Model Information
- Get Resolve
- Get Space Info
- Get Trending Repositories
- List Collections
- List Dataset Commits
- List Datasets
- List Discussions
- List Model Commits
- List repository files
- List Space Commits
- List Spaces on Hugging Face Hub
- Search dataset
- Search Documentation
- Search Papers
- Check Dataset File Upload Method
- Check Dataset Validity
- Check Models Upload Method
- Check Spaces Upload Method
- Get Available Job Hardware
- Get Billing Usage V2
and 56 more
Changes 49
- Change Discussion Status
- Create Datasets Branch
- Create Datasets Commit
- Create Discussion
- Create Discussion Comment
- Create models branch
- Create Models Commit
- Create Repository
- Create spaces branch
- Create Spaces Commit
- Handle Dataset User Access Request
- Update Dataset Settings
- Update Model Repository Settings
- Update Spaces Repository Settings
- Claim Paper Authorship
- Create Collection
- Create Datasets Tag
- Create Models Tag
- Create or update Space secret
- Create or update Space variable
- Create Paper Comment
- Create Papers Comment Reply
- Create Papers Index
- Create Spaces Tag
- Create SQL Console Embed
- Create Webhook
- Delete dataset branch
- Delete Dataset Tag
- Delete discussion
- Delete network CIDR list
and 19 more
More Artificial Intelligence apps Flann works with
Openrouter
PineconeCommon questions
What can Flann do with dataset tags in Hugging Face?
Flann can delete and look up dataset tags in Hugging Face, using 2 actions (Delete Dataset Tag, Get Dataset Tags by Type). Looking up runs straight away and changes nothing. The other actions create or change dataset tags in Hugging Face.
What can Flann do with spaces tags in Hugging Face?
Flann can create and delete spaces tags in Hugging Face, using 2 actions (Create Spaces Tag, Delete Spaces Tag). Each one changes something in Hugging Face.
How does Flann connect to Hugging Face?
Open Connectors in Flann, choose Hugging Face and sign in to your Hugging Face account on a secure page. There is no developer account or API key to set up. Once it is connected, Flann can use 135 actions in Hugging Face.
How do I ask Flann to do something in Hugging Face?
Message Flann on WhatsApp the way you would message a colleague, or send a voice note. Flann picks the Hugging Face action that fits and asks if anything is missing.
Which Flann plan do I need for Hugging Face?
Any of them. Every Flann plan includes Hugging Face and every other app.