Use this app to create a Discord source that emits messages from your guild to a Pipedream workflow.
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.
Generate a short summary for news headlines. See the documentation.
Generate text based on the given prompt. See the documentation.
The Discord API interacts seamlessly with Pipedream, empowering you to craft customized automations and workflows for your Discord server. With this powerful integration, you can automate tasks like message posting, user management, and notifications, based on a myriad of triggers and actions from different apps. These automations can enhance the Discord experience for community moderators and members, by synchronizing with external tools, organizing community engagement, and streamlining notifications.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
discord: {
type: "app",
app: "discord",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://discord.com/api/users/@me`,
headers: {
Authorization: `Bearer ${this.discord.$auth.oauth_access_token}`,
"accept": `application/json`,
},
})
},
})
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,
})
},
})