with Pinterest and Google Gemini?
Emit new events when new pins are created on a board or board section. See the docs here and 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
Generate embeddings from text input using Google Gemini. See the documentation
The Pinterest API opens a portal to interact programmatically with Pinterest's rich data, including boards, pins, and user information. By leveraging this API on Pipedream, you can automate actions like posting new pins, extracting pin data for analysis, and synchronizing Pinterest content with other platforms. The potential extends to marketing optimization, content management, and audience engagement, all automated and integrated within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pinterest: {
type: "app",
app: "pinterest",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pinterest.com/v5/user_account`,
headers: {
Authorization: `Bearer ${this.pinterest.$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
})
},
})