with Crowdin 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
The Crowdin API offers a way to streamline localization processes by enabling automated interactions with Crowdin projects. With this API on Pipedream, you can create workflows that manage translations, coordinate with translators, and sync localized content across your apps. It becomes easy to upload new source files, download translations, manage projects, and crowdsource translations, all within the Pipedream ecosystem.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
crowdin: {
type: "app",
app: "crowdin",
}
},
async run({steps, $}) {
return await axios($, {
// If you are using Crowdin Enterprise, your API URL
// should be https://{your_org_domain}.api.crowdin.com/
url: `https://api.crowdin.com/api/v2/user`,
headers: {
Authorization: `Bearer ${this.crowdin.$auth.oauth_access_token}`,
},
})
},
})
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,
})
},
})