with Google Gemini and Verifalia?
Generates content from text input using the Google Gemini API. See the documentation
Delete a previously submitted email verification job. See the docs for more information
Generates content from both text and image input using the Gemini API. See the documentation
Get the number of credit packs and free daily credits available to the account. See the docs for more information
Generate embeddings from text input using Google Gemini. See the documentation
The Google Gemini API is a cutting-edge tool from Google that enables developers to leverage AI models like Imagen and MusicLM to create and manipulate images and music based on textual descriptions. With Pipedream, you can harness this API to automate workflows that integrate AI-generated content into a variety of applications, from generating visuals for social media posts to composing background music for videos. Pipedream's serverless platform allows you to connect Google Gemini API with other apps to create complex, event-driven workflows without managing infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_gemini: {
type: "app",
app: "google_gemini",
}
},
async run({steps, $}) {
const data = `{{your_promptt}}`;
//E.g. {"contents":[{"parts":[{"text":"Write a story about a magic backpack"}]}]}
return await axios($, {
method: "POST",
url: `https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent`,
headers: {
"Content-Type": "application/json",
},
params: {
key: `${this.google_gemini.$auth.api_key}`,
},
data
})
},
})
Verifalia's API provides robust email validation and verification services, ensuring that email addresses in your lists are accurate and deliverable. Leveraging Verifalia within Pipedream workflows can automate the process of cleaning up email lists, improve email marketing efficiency, and maintain communication channel integrity. By integrating Verifalia's capabilities, you can cut down on bounces, identify disposable email addresses, and segment lists based on quality scores.
import { VerifaliaRestClient } from "verifalia"
export default defineComponent({
props: {
verifalia: {
type: "app",
app: "verifalia",
}
},
async run({steps, $}) {
const verifaliaClient = new VerifaliaRestClient({
username: this.verifalia.$auth.username,
password: this.verifalia.$auth.password
});
return await verifaliaClient
.emailValidations
.submit('batman@gmail.com', true);
},
})