with Infobip and Metatext.AI Pre-build AI models API?
Determine the sentiment of the given text (positive, negative, or neutral). See the documentation
Identify and extract significant keywords from the given text. See the documentation
Generate a blog post based on the given prompt. See the documentation
Send a text message to multiple recipients via Viber. See the documentation
The Infobip API is a communication platform that enables seamless integration of messaging, voice, and email functionalities into various applications. With Infobip, you can automate notifications, authenticate users via one-time passwords, engage customers across multiple channels, and track communication performance. Pipedream's serverless execution environment lets you create sophisticated workflows that harness the capabilities of Infobip by triggering actions based on events, manipulating data, and connecting with numerous other apps.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
infobip: {
type: "app",
app: "infobip",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.infobip.$auth.base_url}.api.infobip.com/sms/1/logs`,
headers: {
"Authorization": `App ${this.infobip.$auth.api_key}`,
},
})
},
})
The Metatext.AI Pre-built AI Models API offers various artificial intelligence capabilities such as natural language processing, image recognition, and sentiment analysis. This API enables users to add AI features to their applications without the need for extensive machine learning expertise. Utilizing this API in Pipedream workflows allows for automation and integration with other services, making it possible to process and analyze text and images within a serverless environment efficiently.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
metatext_ai_pre_build_ai_models_api: {
type: "app",
app: "metatext_ai_pre_build_ai_models_api",
}
},
async run({steps, $}) {
const data = {
"text": `{your_text}`,
}
return await axios($, {
method: "post",
url: `https://api.metatext.ai/hub-inference/sentiment-analysis`,
headers: {
"Content-Type": `application/json`,
"x-api-key": `${this.metatext_ai_pre_build_ai_models_api.$auth.api_key}`,
},
data,
})
},
})