with Yelp Fusion and Hugging Face?
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs
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 Hugging Face API provides access to a vast range of machine learning models, primarily for natural language processing (NLP) tasks like text classification, translation, summarization, and question answering. It lets you leverage pre-trained models and fine-tune them on your data. Using the API within Pipedream, you can automate workflows that involve language processing, integrate AI insights into your apps, or respond to events with AI-generated content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hugging_face: {
type: "app",
app: "hugging_face",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://huggingface.co/api/whoami-v2`,
headers: {
Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
},
})
},
})