Polly

Capture instant feedback on Slack and Teams with Polly

Integrate the Polly API with the Go API

Setup the Polly API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Polly and Go remarkably fast. Free for developers.

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

Overview of Polly

Polly AI is an AI-powered natural language processing (NLP) platform that can take any text and turn it into a human-like voice. With Polly, you can easily deploy natural language applications that comprehend and respond to user interactions using natural language processing (NLP). In addition, you can build sophisticated text-to-speech applications that are capable of transforming written words into life-like conversational speech.

Here are a few examples of applications you can build with the Polly API:

  • Voice-activated virtual assistant applications
  • Text-to-speech applications
  • Speech-driven video and gaming applications
  • Text-to-audio conversions
  • Speech recognition systems and applications
  • Natural language understanding (NLU) solutions and applications
  • Automated customer service solutions
  • Automated audio transcription solutions
  • Voice biometrics and authentication solutions
  • Text analytics solutions

Connect Polly

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    polly: {
      type: "app",
      app: "polly",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://app.polly.ai/api/workflows.trigger`,
      params: {
        "X-API-TOKEN": `${this.polly.$auth.api_key}`,
      },
    })
  },
})

Connect Go

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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)
}