with Yelp Fusion 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
The Yelp API provides access to rich data on local businesses across various categories, including restaurants, bars, and service providers. Leveraging Yelp's API on Pipedream allows you to automate the retrieval of business information, ratings, and customer reviews, which can be instrumental in making data-driven decisions for market analysis, customer insights, or even personal use. By stitching the Yelp API into Pipedream workflows, you unlock potential for real-time monitoring, data collection, and cross-application synergy, enhancing your business intelligence and operational efficiency.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
yelp: {
type: "app",
app: "yelp",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.yelp.com/v3/businesses/search`,
headers: {
Authorization: `Bearer ${this.yelp.$auth.api_key}`,
},
params: {
location: `san francisco, ca`,
},
})
},
})
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
})
},
})