with Mode 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
The Mode API provides programmatic access to Mode's analytics platform, allowing you to automate interactions with your Mode workspace. Using Mode with Pipedream, you can create workflows that interact with reports, queries, and spaces, or even manage members and permissions. This can include tasks like triggering a report run, fetching query results, or syncing users from other systems into Mode. By leveraging Pipedream's serverless platform, you can build robust, event-driven automations that integrate Mode with hundreds of other apps without the need for dedicated infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mode: {
type: "app",
app: "mode",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.mode.com/api/account`,
headers: {
"Accept": `application/json`,
"Content-Type": `application/json`,
},
auth: {
username: `${this.mode.$auth.token}`,
password: `${this.mode.$auth.password}`,
},
})
},
})
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}`,
},
})
},
})