with Amara and Google Gemini?
Emit new event when subtitles have been published. See the docs here
Emit new event when subtitles have been unpublished. See the docs here
Emit new event when a video has been made primary. See the docs here
Generates content from text input using the Google Gemini API. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
The Amara API provides programmatic access to Amara’s community-driven subtitle creation and translation services. With this API, you can automate subtitle workflows, streamline video content translation, and integrate with other services to create efficient localization processes. The API allows you to manage videos, subtitles, and teams, offering a doorway to effortlessly scaling your video content to reach global audiences.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
amara: {
type: "app",
app: "amara",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://amara.org/api/users/teams/`,
headers: {
"X-api-key": `${this.amara.$auth.api_key}`,
"Content-Type": `application/json`,
},
})
},
})
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
})
},
})