with Readwise and Google Gemini?
Generates content from text input using the Google Gemini API. See the documentation
A list of highlights with a pagination metadata. The rate limit of this endpoint is restricted to 20 requests per minute. Each request returns 1000 items. See the docs here
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 Readwise API allows you to access and manipulate your Readwise data, which includes highlights, notes, and books from your reading list. With this API, you can automate the retrieval of your reading highlights, synchronize them across various platforms, or trigger custom actions based on new highlights added. Pipedream, as a serverless integration and compute platform, enables you to create workflows that leverage the Readwise API to build powerful automations, connecting your reading insights to countless other apps and services to enrich productivity and data management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
readwise: {
type: "app",
app: "readwise",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://readwise.io/api/v2/books/`,
headers: {
"Authorization": `Token ${this.readwise.$auth.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
})
},
})