Integrate the Leap API with the Python API

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

Popular Ways to Connect Leap with Python#

Run Python Code with Python API on New Image Sample Created from Leap API

Leap + Python

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Run Python Code with Python API on New Model Created from Leap API

Leap + Python

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Run Python Code with Python API on New Model Version Created from Leap API

Leap + Python

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Popular Leap and Python Triggers#

New Image Sample Created from the Leap API

Emit new event when a new image sample is created for a model. See the documentation

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New Model Created from the Leap API

Emit new event when a new model is created. See the documentation

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New Model Version Created from the Leap API

Emit new event when a new model version is created/queued for training. See the documentation

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Popular Leap and Python Actions#

Create Image Generation Job with the Leap API

Queues an image generation job and returns the job details. 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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Create Model with the Leap API

Creates a new custom model entity, which serves as a container that can be trained on custom images. See the documentation

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Upload Image Samples with the Leap API

Uploads image samples to a custom model. See the documentation

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Overview of Leap#

The Leap API enables automated interactions with the Leap.ai platform, which focuses on matching users with optimal job opportunities based on skills and preferences. In Pipedream, you can harness this API to create workflows that streamline the job search process, manage and analyze job matching data, or even integrate with other platforms to enhance the job seeking experience. With Pipedream's serverless execution environment, you can trigger these workflows on a schedule, via webhooks, or in response to events from other apps.

Connect Leap#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    leap: {
      type: "app",
      app: "leap",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.tryleap.ai/api/v1/images/models`,
      headers: {
        Authorization: `Bearer ${this.leap.$auth.api_key}`,
        "accept": `application/json`,
      },
    })
  },
})

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}}