Integrate the Levity API with the Python API

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

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Popular Levity and Python Actions#

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 Levity#

The Levity API provides a platform for creating AI-powered workflows that can classify images, text, and data with ease. Using this API in Pipedream, you can automate decision-making processes, enhance data categorization, and streamline content moderation by leveraging machine learning models. It integrates smoothly within Pipedream's serverless environment, allowing you to build complex workflows without spinning up a single server.

Connect Levity#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    levity: {
      type: "app",
      app: "levity",
    }
  },
  async run({steps, $}) {
    const data = {
      "url": `{replace_with_image_url}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.levity.ai/v1/classifiers/{your_classifier_id}/classify/`,
      headers: {
        "Authorization": `Token ${this.levity.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      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#

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}}

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