with Cloudflare R2 and Google Gemini?
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 Cloudflare R2 API lets you interact with Cloudflare's object storage service, providing a cost-effective way to store large amounts of data with no egress fees. On Pipedream, you can harness this API to build automated workflows that can store, retrieve, and manage data within your R2 buckets. By combining Cloudflare R2 with Pipedream’s capabilities, you can create serverless workflows that trigger on various events, process data in-flight, and integrate with over 800+ apps available on the platform.
import { S3 } from "@aws-sdk/client-s3";
import { ListBucketsCommand } from "@aws-sdk/client-s3";
export default defineComponent({
props: {
cloudflare_r2: {
type: "app",
app: "cloudflare_r2",
}
},
async run({ steps, $ }) {
const cloudflare_r2 = {
account_id: this.cloudflare_r2.$auth.account_id
};
const s3Client = new S3({
forcePathStyle: false,
endpoint: `https://${cloudflare_r2.account_id}.r2.cloudflarestorage.com`,
region: "auto",
credentials: {
accessKeyId: this.cloudflare_r2.$auth.access_key_id,
secretAccessKey: this.cloudflare_r2.$auth.access_key_secret
}
});
const data = await s3Client.send(new ListBucketsCommand({}));
return data.Buckets;
}
}
)
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
})
},
})