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Popular IBM Cloud - Speech to Text and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of IBM Cloud - Speech to Text#
The IBM Cloud - Speech to Text API transforms spoken language into written text, offering a powerful tool for creating transcriptions, enabling voice control and command features, and feeding speech into analytics platforms. With Pipedream, you can build automated workflows that leverage this capability, such as transcribing meetings in real-time, analyzing customer service calls for sentiment and keywords, or even creating subtitles for videos. The ability to connect with other apps on Pipedream allows for complex workflows that can turn spoken data into actionable insights or accessible content.
Connect IBM Cloud - Speech to Text#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ibm_cloud_speech_to_text: {
type: "app",
app: "ibm_cloud_speech_to_text",
}
},
async run({steps, $}) {
const data = {
"text": `hello world`,
}
return await axios($, {
method: "post",
url: `${this.ibm_cloud_speech_to_text.$auth.instance_url}/v1/synthesize`,
headers: {
"Content-Type": `application/json`,
"Accept": `audio/wav`,
},
auth: {
username: `apikey`,
password: `${this.ibm_cloud_speech_to_text.$auth.api_key}`,
},
data,
})
},
})
Overview of Go#
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.
Connect Go#
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies