with Pipefy 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
Groups a provided text into predefined categories. See the documentation
Pipefy is a platform that empowers users to streamline complex processes and workflows without the need for technical skills. With the Pipefy API, you can automate various aspects of your Pipefy environment, such as creating cards, updating fields, and managing pipelines programmatically. Use Pipedream to connect Pipefy with hundreds of other apps and orchestrate workflows that can save time, reduce errors, and enhance efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pipefy: {
type: "app",
app: "pipefy",
}
},
async run({steps, $}) {
const data = {
"query": `{ me { name } }`,
}
return await axios($, {
method: "post",
url: `https://api.pipefy.com/graphql`,
headers: {
Authorization: `Bearer ${this.pipefy.$auth.token}`,
},
data,
})
},
})
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}`,
},
})
},
})