with Product Hunt 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 Product Hunt API taps into a vibrant community of tech enthusiasts and makers, allowing you to interact with their platform programmatically. With it, you can retrieve details on the latest trending products, post comments, and gather user data. Automating these interactions can keep you informed on tech trends, engage with the community, and analyze market interests.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
product_hunt: {
type: "app",
app: "product_hunt",
}
},
async run({steps, $}) {
const data = {
"query": `{
viewer {
user {
id
username
}
}
}`,
}
return await axios($, {
method: "post",
url: `https://api.producthunt.com/v2/api/graphql`,
headers: {
Authorization: `Bearer ${this.product_hunt.$auth.oauth_access_token}`,
},
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}`,
},
})
},
})