Integrate the Uberduck API with the Python API

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

Popular Uberduck and Python Actions#

Generate Lyrics with the Uberduck API

Generates lyrics using a specified voice model. See the documentation

Try it

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.

Try it

Get Voice Samples with the Uberduck API

Get voice samples for a specific voice model. See the documentation

Try it

Get Voices with the Uberduck API

List voices available in Uberduck. See the documentation

Try it

Overview of Uberduck#

The Uberduck API offers text-to-speech capabilities with a variety of voice choices, from standard voices to celebrity impersonations. It enables you to convert text into lifelike speech, providing an API that can be used for creating audio content, voiceovers for videos, or for making interactive voice response systems more engaging. On Pipedream, you can build workflows that leverage this functionality, triggering voice synthesis with events from various sources and integrating with other apps for a seamless automation experience.

Connect Uberduck#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uberduck: {
      type: "app",
      app: "uberduck",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.uberduck.ai/voices`,
      auth: {
        username: `${this.uberduck.$auth.api_key}`,
        password: `${this.uberduck.$auth.secret_key}`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

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}}