with Plain 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
The Plain API provides functionality for automating customer support tasks, such as managing conversations, customers, and team inboxes. Within Pipedream, you can leverage these features to create custom workflows that respond to events from your app or external services, triggering actions in Plain. By integrating the Plain API with Pipedream, you can enhance customer support efficiency, streamline communication, and keep customer data synchronized across platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
plain: {
type: "app",
app: "plain",
}
},
async run({steps, $}) {
const data = {
"query": `query Workspace {
workspace(workspaceId: "${this.plain.$auth.workspace_id}") {
id
publicName
}
}`,
}
return await axios($, {
method: "post",
url: `https://core-api.uk.plain.com/graphql/v1`,
headers: {
Authorization: `Bearer ${this.plain.$auth.api_key}`,
"Content-Type": `application/json`,
},
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}`,
},
})
},
})