with One AI and Google Vertex AI?
Find clusters with a similar meaning of a given text. See the documentation
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
One AI API enables users to leverage advanced language AI to analyze and process text. On Pipedream, you can integrate One AI into serverless workflows to automate tasks like content summarization, emotion detection, or keyword extraction. By tapping into One AI's capabilities via Pipedream, you can enrich data, glean insights, and streamline content-centric operations with ease and efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
one_ai: {
type: "app",
app: "one_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.oneai.com/api/v0/org/info`,
headers: {
"api-key": `${this.one_ai.$auth.api_key}`,
"Accept": `application/json`,
},
})
},
})
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}`,
},
})
},
})