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.

 
Try it

Overview of Polly

The Polly API allows you to automate and personalize the creation of images for marketing campaigns, emails, and web content. It provides the capability to dynamically generate images with custom text, fonts, and other variables at scale. Specifically in Pipedream, you can harness this API to craft on-the-fly marketing assets that are tailored to individual recipients or audience segments, integrate with email services to deliver personalized images within newsletters, or trigger image creation based on specific events or actions taken by your users.

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

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

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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}}