with Firebase Admin and Metatext.AI Pre-build AI models API?
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation
Creates or replaces a child object within your Firebase Realtime Database. See the docs here
Identify and extract significant keywords from the given text. See the documentation
Retrieves a document from a Firestore collection. See the documentation
The Firebase Admin SDK API provides powerful backend functionality for Firebase apps. It allows you to interact with Firebase services like Firestore, Firebase Realtime Database, Firebase Storage, and Firebase Authentication directly from a server. With Pipedream, you can harness this API to automate complex workflows, respond to Firebase events in real-time, and integrate with countless other services.
import admin from "firebase-admin"
export default defineComponent({
props: {
firebase_admin_sdk: {
type: "app",
app: "firebase_admin_sdk",
},
},
async run({ steps, $ }) {
// Enter values for the following parameters below this code step,
// These get passed to the initializeApp method below.
const {
projectId,
clientEmail,
privateKey,
region = "firebaseio.com",
} = this.firebase_admin_sdk.$auth
// Before passing the privateKey to the initializeApp constructor,
// we have to replace newline characters with literal newlines
const formattedPrivateKey = privateKey.replace(/\\n/g, "\n")
// See https://firebase.google.com/docs/reference/admin/node/admin.credential.html#cert
if (!admin.apps.length) {
admin.initializeApp({
credential: admin.credential.cert({
projectId,
clientEmail,
privateKey: formattedPrivateKey,
}),
databaseURL: `https://${projectId}-default-rtdb.${region}/`,
})
}
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})