with Typebot and Google Gemini?
Emit new event when a zapier step is triggered. See the docs
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
Typebot is a conversational form builder that allows you to create interactive and engaging forms for data collection. With Typebot API on Pipedream, you can automate the processing of form submissions, synchronize data with other services, and trigger customized workflows. Utilize the data gathered from Typebot in real-time, enrich it with other services, and streamline processes like lead generation, surveys, and feedback collection.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
typebot: {
type: "app",
app: "typebot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://typebot.io/api/users/me`,
headers: {
Authorization: `Bearer ${this.typebot.$auth.api_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
})
},
})