with astica.ai and Go?
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
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,
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}