with Google Gemini and ChatBot?
Emit new event for event received. Need to be configured in the ChatBot UI flow to emit events. See docs 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 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
})
},
})
Leverage the ChatBot API on Pipedream to automate conversations, streamline customer service, and connect chat functionality with various apps for rich, responsive interaction. With this API, you can programmatically send messages, manage chat histories, and implement chatbots that react to user input in real-time. By integrating with Pipedream, these capabilities can be augmented with thousands of apps, enabling seamless data flow and complex automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatbot: {
type: "app",
app: "chatbot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.chatbot.com/stories`,
headers: {
Authorization: `Bearer ${this.chatbot.$auth.developer_access_token}`,
},
})
},
})