with Rocket Chat and astica.ai?
Transcribe an audio file to text with Astica AI See the documentation
Convert text to voice audio with Astica AI See the documentation
Sends a new direct message to a specific user. See the documentation
Rocket Chat is a customizable and open-source team chat platform that's a popular alternative for team communication. With its API, you can automate a variety of tasks, such as sending messages, creating channels, managing users, and integrating with various services for a seamless workflow. Leveraging Pipedream's capabilities, you can use Rocket Chat API to create intricate workflows and connect them with other apps to streamline communication, trigger actions based on messages, and synchronize data across platforms.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
rocket_chat: {
type: "app",
app: "rocket_chat",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.rocket_chat.$auth.domain}/api/v1/me`,
headers: {
"X-Auth-Token": `${this.rocket_chat.$auth["X-Auth-Token"]}`,
"X-User-Id": `${this.rocket_chat.$auth["X-User-Id"]}`,
},
params: {
userId: `${this.rocket_chat.$auth["X-User-Id"]}`,
},
})
},
})
The Astica.ai API affords developers the ability to tap into advanced natural language processing (NLP) capabilities. By integrating this API into Pipedream workflows, you can automate text analysis, summarization, sentiment analysis, and more, leveraging the AI-powered insights to enrich applications or streamline processes. Pipedream’s serverless platform makes it painless to set up event-driven workflows that respond to various triggers and manipulate or move data between apps with no need for infrastructure management.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
astica_ai: {
type: "app",
app: "astica_ai",
}
},
async run({steps, $}) {
const data = {
"tkn": `${this.astica_ai.$auth.api_key}`,
"modelVersion": `2.1_full`,
"input": `https://www.astica.org/inputs/analyze_3.jpg`,
"visionParams": `gpt, describe, describe_all, tags, objects`,
"gpt_prompt": ``,
"gpt_length": `90`,
}
return await axios($, {
method: "post",
url: `https://vision.astica.ai/describe`,
headers: {
"Content-Type": `application/json`,
},
data,
})
},
})