with RenderForm and Google Gemini?
Emit new event when a new render result is ready in RenderForm.
Generates an image using a supplied template. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Retrieve a list of your personal templates, optionally filtered by name. 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 RenderForm API empowers you to automate the conversion of HTML forms into static, embeddable forms. By integrating RenderForm with Pipedream, you can streamline the process of capturing responses and integrating them into your data pipeline. With Pipedream's serverless platform, you can create workflows that trigger on form submissions, pre-fill forms with data from external sources, and connect form data to other apps and services, such as CRMs, email marketing tools, or databases.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
renderform: {
type: "app",
app: "renderform",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://get.renderform.io/api/v2/my-templates`,
headers: {
"X-API-KEY": `${this.renderform.$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
})
},
})