with Azure Storage and Google Gemini?
Emit new event when a blob is deleted from a specified container in Azure Storage. See the documentation
Emit new event when a new blob is created to a specified container in Azure Storage. See the documentation
Emit new event when a new container is created in the specified Azure Storage account. See the documentation
Generates content from text input using the Google Gemini API. See the documentation
Creates a new container under the specified account. If a container with the same name already exists, the operation fails. See the documentation
Generates content from both text and image input using the Gemini API. See the documentation
Deletes a specific blob from a container in Azure Storage. See the documentation
Generate embeddings from text input using Google Gemini. See the documentation
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_storage: {
type: "app",
app: "azure_storage",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://graph.microsoft.com/v1.0/me`,
headers: {
Authorization: `Bearer ${this.azure_storage.$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
})
},
})