with Trello 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
Generate a video from an image with optional text prompt using Google Vertex AI Veo models. See the documentation
Generate a video from a text prompt using Google Vertex AI Veo models. See the documentation
Trello's API lets you craft workflows around managing boards, lists, cards, and users. With Pipedream, you can automate Trello tasks, like syncing cards with external databases, updating checklists, and posting notifications to other platforms. It enables seamless connection with other apps, fostering productivity by automating routine board operations, card management, and team notifications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
trello: {
type: "app",
app: "trello",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.trello.com/1/members/me`,
}, {
token: {
key: this.trello.$auth.oauth_access_token,
secret: this.trello.$auth.oauth_refresh_token,
},
oauthSignerUri: this.trello.$auth.oauth_signer_uri,
})
},
})
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}`,
},
})
},
})