with Docnify and Google Vertex AI?
Add a recipient to an existing Docnify document. [See the documentation](See the documentation)
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Create a new document in Docnify from a pre-existing template. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
docnify: {
type: "app",
app: "docnify",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.docnify.$auth.url}/api/v1/documents`,
headers: {
"Authorization": `${this.docnify.$auth.api_token}`,
},
params: {
page: `1`,
perPage: `1`,
},
})
},
})
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}`,
},
})
},
})