with Ambivo 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 Ambivo API provides access to a range of services for web scraping, image processing, and data extraction. On Pipedream, you can leverage these capabilities to automate workflows that require the transformation and analysis of content from various sources. Whether you're looking to extract text from images, scrape web data without getting blocked, or perform content-based image retrieval, Ambivo can be integrated with Pipedream's serverless platform to build robust and scalable automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ambivo: {
type: "app",
app: "ambivo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://fapi.ambivo.com/crm/contacts/created`,
headers: {
Authorization: `Bearer ${this.ambivo.$auth.access_token}`,
},
})
},
})
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}`,
},
})
},
})