Integrate artificial intelligence into your applications without deploying models and no infra.
Convert an object to a JSON format string
Transcribe an audio file to text with Astica AI See the documentation
Convert text to voice audio with Astica AI See the documentation
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,
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})