with Cloudpress and Google Dialogflow?
Batch create entities, See REST docs and client API docs
Exports all content in a collection in Cloudpress. See the documentation
Creates an Entity Type, See REST docs and client API docs
Exports content from a connection in Cloudpress. See the documentation
The Cloudpress API lets you convert rich text content into various formats. With Pipedream, you can use this API to automate the process of converting and distributing content across different platforms. Think of it as your bridge between content creation and content publication, streamlining workflows that involve any sort of text formatting, conversion, or distribution.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudpress: {
type: "app",
app: "cloudpress",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.usecloudpress.com/v2/account`,
headers: {
Authorization: `Bearer ${this.cloudpress.$auth.personal_access_token}`,
"Content-Type": `application/json`,
},
})
},
})
Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.
module.exports = defineComponent({
props: {
google_dialogflow: {
type: "app",
app: "google_dialogflow",
}
},
async run({steps, $}) {
// Example code from the Dialogflow Node.js library:
// https://github.com/googleapis/nodejs-dialogflow
const dialogflow = require('dialogflow')
const uuid = require('uuid')
// A unique identifier for the given session
const sessionId = uuid.v4()
const key = JSON.parse(this.google_dialogflow.$auth.key_json)
// Creates a session client from a Google service account key.
const sessionClient = new dialogflow.SessionsClient({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
// The text query request.
const request = {
session: sessionPath,
queryInput: {
text: {
// The query to send to the dialogflow agent
text: 'hello',
// The language used by the client (en-US)
languageCode: 'en-US',
},
},
}
// Send request and log result
const responses = await sessionClient.detectIntent(request)
console.log('Detected intent')
const result = responses[0].queryResult
console.log(`Query: ${result.queryText}`)
console.log(`Response: ${result.fulfillmentText}`)
if (result.intent) {
console.log(`Intent: ${result.intent.displayName}`)
} else {
console.log(`No intent matched.`)
}
},
})