with HARPA AI and Cohere?
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
harpa_ai: {
type: "app",
app: "harpa_ai",
}
},
async run({steps, $}) {
const data = {
"action": "scrape",
"url": "https://harpa.ai/blog",
"grab": [{"selector":".PostList__postTitle","at":"all","label":"data"}],
"node": "4wwg"
}
return await axios($, {
method: "post",
url: `https://api.harpa.ai/api/v1/grid`,
headers: {
Authorization: `Bearer ${this.harpa_ai.$auth.api_key}`,
"content-type": `application/json`,
},
data,
})
},
})
The Cohere API enables the development of apps with advanced natural language understanding capabilities. Utilizing machine learning, it can help with tasks like text generation, summarization, sentiment analysis, and more. On Pipedream, you can seamlessly integrate Cohere's features into serverless workflows, triggering actions based on text input, processing large volumes of data, or even enhancing chatbots with more human-like responses.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cohere_platform: {
type: "app",
app: "cohere_platform",
}
},
async run({steps, $}) {
const data = {
"text": `Tokenize this!`,
}
return await axios($, {
method: "post",
url: `https://api.cohere.ai/small/tokenize`,
headers: {
Authorization: `Bearer ${this.cohere_platform.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})