with Miro Developer App and Google Gemini?
Emit new event when a card item is updated on a Miro board
Emit new event when an item's position changes in a Miro Custom App.
Emit new event when a new card item is created on a Miro board
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
Creates a card item on a Miro board. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
The Miro Developer App API lets you extend the functionality of Miro, an online collaborative whiteboarding platform. On Pipedream, you can automate interactions with Miro boards, such as creating or updating content, and extracting data for reporting or integration purposes. This can streamline collaboration and project management by automating repetitive tasks and connecting Miro with other tools and services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
miro_custom_app: {
type: "app",
app: "miro_custom_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.miro.com/v2/boards`,
headers: {
Authorization: `Bearer ${this.miro_custom_app.$auth.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
})
},
})