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with JW Player and Google Vertex AI?
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Popular Ways to Connect JW Player with Google Vertex AI#
Popular JW Player and Google Vertex AI Triggers#
Emit new event when a new media conversion is completed or a media becomes available.
Popular JW Player and Google Vertex AI Actions#
Creates a new media file in JW Player using fetch or external upload methods. 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
Searches for a media or lists all media available in JW Player. See the documentation
Groups a provided text into predefined categories. See the documentation
Overview of JW Player#
The JW Player API offers a way to manage and deliver video content programmatically. On Pipedream, you can leverage this API to automate video publishing workflows, analyze viewer data, and integrate with other services. Creating, updating, and managing video metadata can be automated, as well as handling video transcoding jobs and analyzing performance with custom metrics. By tapping into Pipedream's serverless platform, you can build powerful automations without managing infrastructure.
Connect JW Player#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jw_player: {
type: "app",
app: "jw_player",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.jwplayer.com/v2/sites/{{your_site_id}}/media/`,
headers: {
"Authorization": `${this.jw_player.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
Overview of Google Vertex AI#
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.
Connect Google Vertex AI#
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}`,
},
})
},
})
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