with New York Times 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
The New York Times API offers a variety of endpoints to access different types of news and information. With Pipedream, you can tap into this wealth of data to automate tasks, enrich applications with the latest news, or even analyze trends. Workflows on Pipedream triggered by NYT's API can range from sending daily news briefings to your communication platform, to analyzing article metadata for SEO research, or even keeping track of the most popular stories for content curation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
new_york_times: {
type: "app",
app: "new_york_times",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.nytimes.com/svc/topstories/v2/arts.json`,
params: {
"api-key": `${this.new_york_times.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})