Integrate OpenAI and Hugging Face to automate workflows with scalable backend

Connect OpenAI and Hugging Face nodes to in your workflow. Integrate with any tool or database and ship powerful backend logic and APIs instantly - No code required!

Getting Started

How To Connect OpenAI and Hugging Face

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Step 1: Add Trigger Node

It is the node that will start your workflow execution.

Step 1: Add Trigger Node

It is the node that will start your workflow execution.

01

Step 1: Add Trigger Node

It is the node that will start your workflow execution.

02

Step 2: Connect OpenAI and Hugging Face

It is the node that will start your workflow execution.

Step 2: Connect OpenAI and Hugging Face

It is the node that will start your workflow execution.

02

Step 2: Connect OpenAI and Hugging Face

It is the node that will start your workflow execution.

03

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

03

Step 3: Integrate with any other tool or service

Add any other tools or your preferred database nodes. If an integration is not available generate your own using AI

04

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

04

Step 4: Execute Workflow

Once done, test and click ship to run as an API or scheduled job.

Node stack

Supported Triggers & Actions

OpenAI NODES

Fetch OpenAI File

Generates a readable stream for a file stored in OpenAI Storage. Return this stream using a 'Return' node to receive it through an API endpoint (to download the file, write it to the file system, etc.)

Generate Embeddings

Generate embeddings for a given content using OpenAI text-embedding-ada-002 model

GPT-4 Vision

Use GPT-4 Vision to ask questions about images.

Image Generator

Converts text to Base64 image using OpenAI's DALL·E models.

JSON Generator

Generates text based on a given user and system prompt and always returns a JSON object using the OpenAI GPT (Turbo) APIs.

LLM Extract

Extract structured data from any text input.

LLM Extract URL

Extract structured data from any web page.

Multi-Image GPT-4 Vision

Analyses multiple images using the OpenAI GPT-4 Vision model.

script

Neighbor Search

Find the nearest neighbors for a given search query using OpenAI embeddings

script

OpenAI Assistant

Add different script nodes and let the AI Assistant automatically choose which to execute based on the input. Built to work with OpenAI Assistants API V2.

script

OpenAI Assistant (Stream Response)

Add different script nodes and let the AI Assistant automatically choose which to execute based on the input. The node returns a streamed text response (meant to be returned back to the client) and the thread ID (to track the conversation). Built to work with OpenAI Assistants API.

script

Stream Response

Send a chat message to OpenAI and return the response stream. --- If you plan on sending this stream back to the client as the response, you may want to consider adding a **Set Response Header** node following this node (and before the return node) with the key set to `content-type` and the value set to `text/plain`, to make it easier for the client to figure out how to handle the stream.

script

Text Generator

Generates text using OpenAI API for a given user and system prompt

script

Text to Speech

Converts text to speech using OpenAI API and returns audio in Base64.

script

Whisper Speech To Text

Convert audio/speech to text using OpenAI's Whisper API.

script

Hugging Face NODES

Caption Image

Generate caption for the image using Hugging Face's [Salesforce/blip-image-captioning-large](https://huggingface.co/Salesforce/blip-image-captioning-large) model for image captioning pretrained on COCO dataset - base architecture (with ViT large backbone).

script

Image Classification

Get classification labels for your image using Hugging Face's [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) model which is a transformer encoder model (BERT-like) pretrained on a large collection of images in a supervised fashion, namely ImageNet-21k, at a resolution of 224x224 pixels. Next, the model was fine-tuned on ImageNet (also referred to as ILSVRC2012), a dataset comprising 1 million images and 1,000 classes, also at resolution 224x224.

script

Text Summarization

Summarize long text using Hugging Face's [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) model which is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text.

script

Text-To-Image

Generate image from text, using Hugging Face's [openskyml/dalle-3-xl](https://huggingface.co/openskyml/dalle-3-xl) test model very similar to Dall•E 3.

script

Text-To-Music

Generate music from text using Hugging Face's [facebook/musicgen-small](https://huggingface.co/facebook/musicgen-small) model capable of generating high-quality music samples conditioned on text descriptions or audio prompts.

script

Support

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Start building your
BIGGEST ideas
in the *simplest* of ways.

Start building your
BIGGEST ideas
in the *simplest* of ways.

Start building your BIGGEST ideas in the *simplest* of ways.