Polly

Capture instant feedback on Slack and Teams with Polly

Integrate the Polly API with the Python API

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

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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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}`,
      },
    })
  },
})

Overview of Python

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

  • Create automated workflows that run on a specific schedule
  • Compose workflows across various apps and services
  • React to events in cloud services or form data
  • Automatically create content and notifications
  • Construct classifications and predictions
  • Analyze and react to sentiment, sentiment analysis and sentiment score
  • Connect backends to the frontend with serverless functions
  • Work with files and databases
  • Perform web requests and fetch data
  • Integrate third-party APIs into your apps
  • Orchestrate data processing tasks and pipelines
  • Create powerful application APIs with authentication and authorization
  • Design CI/CD pipelines and Continuous Delivery services
  • Connect databases like MongoDB and MySQL
  • Monitor connections and events
  • Generate alerts and notifications for corresponding events

Connect Python

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def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}