with Slack and Google Gemini?
Emit new events on new Slack interactivity events sourced from Block Kit interactive elements, Slash commands, or Shortcuts
Emit new event when a specific keyword is mentioned in a channel
Emit new event when a new message is posted to one or more channels
Emit new event when a member has added an emoji reaction to a message
Generates content from text input using the Google Gemini API. See the documentation
Suspend the workflow until approved by a Slack message. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
The Pipedream app for Slack enables you to build event-driven workflows that interact with the Slack API. Once you authorize the app's access to your workspace, you can use Pipedream workflows to perform common Slack actions or write your own code against the Slack API.
The Pipedream app for Slack is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
slack_v2: {
type: "app",
app: "slack_v2",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://slack.com/api/users.profile.get`,
headers: {
Authorization: `Bearer ${this.slack_v2.$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
})
},
})