Easy-Peasy.AI

Best AI Writer, Content Generator & Copywriting Assistant.

Integrate the Easy-Peasy.AI API with the Python API

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

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Create Transcription with the Easy-Peasy.AI API

Generates AI transcription for a given audio URL. See the documentation

 
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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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Generate Image with the Easy-Peasy.AI API

Generates an AI image based on the given prompt. See the documentation

 
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Generate Text with the Easy-Peasy.AI API

Generates text outputs for the templates. See the documentation

 
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Connect Easy-Peasy.AI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easy_peasy_ai: {
      type: "app",
      app: "easy_peasy_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "audio_type": `podcast`,
      "language": `English`,
      "name": `Interview with John Doe`,
      "detect_speakers": `true`,
      "enhanced_quality": `true`,
      "url": `https://example.com/audiofile.mp3`,
    }
    return await axios($, {
      method: "post",
      url: `https://easy-peasy.ai/api/transcriptions`,
      headers: {
        "accept": `application/json`,
        "content-type": `application/json`,
        "x-api-key": `${this.easy_peasy_ai.$auth.api_key}`,
      },
      data,
    })
  },
})

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo