with Squarespace and Google Vertex AI?
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Squarespace's API provides a means to interface programmatically with your Squarespace site, allowing for a plethora of automation opportunities such as manipulating inventory, modifying site content, and syncing data with third-party services. When combined with Pipedream, this can translate into powerful workflows that streamline operations, enhance customer engagement, and keep various platforms in sync with your Squarespace data in real-time.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
squarespace: {
type: "app",
app: "squarespace",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.squarespace.com/1.0/authorization/website`,
headers: {
Authorization: `Bearer ${this.squarespace.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})