with Cloud Convert and Google Gemini?
Emit new event when a CloudConvert job has failed. See the documentation
Emit new event when a CloudConvert job has been completed. See the documentation
Emit new event when a new job has been created. See the documentation
Converts an input file to a specified output format using CloudConvert. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Creates an archive in a specified format. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Creates a task to import a file from a URL. See the documentation
The Cloud Convert API offers a robust solution for file conversion, supporting a vast array of file formats. With Pipedream, you can harness this versatility to create automated workflows that trigger file conversions, process the resulting files, and integrate with other services. By combining Cloud Convert with Pipedream's connectivity to hundreds of apps, you can craft custom automation that saves time and removes the friction from multi-format file management tasks.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloud_convert: {
type: "app",
app: "cloud_convert",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cloudconvert.com/v2/users/me`,
headers: {
Authorization: `Bearer ${this.cloud_convert.$auth.oauth_access_token}`,
},
})
},
})
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
})
},
})