Integrate Hugging Face and Sendgrid to automate workflows with scalable backend
Connect Hugging Face and Sendgrid 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 Hugging Face and Sendgrid
Popular Templates With Hugging Face and Sendgrid
Explore our popular Google Sheets & templates below. Click. Remix. Ship!
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Mail Assistant
Use Assistants to retrieve relevant contact information from database, compose email content and send it to the specified recipient based on the prompt.
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Audio Translator
Given speech audio, transcribe it, translate it into the target language, and finally convert it back to speech using Google's translation and text-to-speech APIs.
Google Translate
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Email Assistant
Access your contacts and send emails for you.
OpenAI BuildShip Database Gmail
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Google Vision - Text Detection
Given an image, find the text in it using Google Vision.
Google Vision
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Scheduled Emails
Send scheduled emails featuring highly personalized GPT-4 generated content to engage your audience, and optimize your marketing campaigns.
Resend OpenAI
Node stack
Supported Triggers & Actions
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).
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.
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.
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.
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.
Sendgrid NODES
Send Dynamic email
Sends a dynamic email using the Sendgrid API with tracking and a specified template (NOTE: The messages sent via SendGrid might end up in spam if you haven't verified your sendgrid account)
script
Send Static email
Sends an email using the Sendgrid API with tracking (NOTE: The messages sent via SendGrid might end up in spam if you haven't verified your sendgrid account)
script
Blog posts & Tutorials
Recommended
Reads
Below are recommneded blogs that will help in your journey
Support
Need Help?
Here are some helpful resources to get you "unstuck"
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Join BuildShip Community ->
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Send a Support Request ->
Got a specific question on your workflows / project or want to report a bug? Send a us a request using the "Support" button directly from your BuildShip Dashboard.
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Feature Request ->
Something missing in BuildShip for you? Share on the #FeatureRequest channel on Discord. Also browse and cast your votes on other feature requests.
