with Wrike and Google Gemini?
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
Update the custom fields for a task. See the documentation
Wrike API on Pipedream exposes the robust task and project management features of Wrike, enabling you to automate workflows across various apps and services. With it, you can programmatically access and manipulate tasks, folders, projects, and users within Wrike. This API lends itself to a multitude of automation possibilities, like synchronizing project updates across platforms, streamlining notifications and reporting, or even managing resource allocation based on project workload.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wrike: {
type: "app",
app: "wrike",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.wrike.$auth.host}/api/v4/contacts`,
headers: {
Authorization: `Bearer ${this.wrike.$auth.oauth_access_token}`,
},
params: {
me: `true`,
},
})
},
})
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
})
},
})