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.
Popular Polly and Go Actions#
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.
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#
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
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#
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
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)
}