Integrate the api4ai API with the Python API

Setup the api4ai API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate api4ai and Python remarkably fast. Free for developers.

Popular api4ai and Python Actions#

Alcohol Label Recognition with the api4ai API

Accurately identifies alcohol labels using advanced intelligent technologies. Powered by API4AI.

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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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Background Removal with the api4ai API

Automatically and quickly remove image background with high accuracy. Powered by API4AI.

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Brand Recognition with the api4ai API

The service processes input image and responds with a list of found brand logos. Powered by API4AI.

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Car Image Background Removal with the api4ai API

Remove Background for car images. Powered by API4AI.

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Overview of api4ai#

API4AI offers a range of artificial intelligence solutions and APIs for diverse applications, including content moderation, image recognition, and text analysis. Built on a robust cloud technology stack, our APIs guarantee seamless operability, scalability, and reliable uptime. Our aim is to provide standalone AI solutions that effortlessly integrate into any application with minimal setup required.

All API4AI APIs are subscription-based and managed through RapidAPI.

👉️️ Website: https://api4.ai
📩 Email: hello@api4.ai
💬 Chat: https://t.me/a4a_support_bot

Connect api4ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    api4ai: {
      type: "app",
      app: "api4ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://general-detection.p.rapidapi.com/v1/algos`,
      headers: {
        "X-RapidAPI-Key": `${this.api4ai.$auth.api_key}`,
        "X-RapidAPI-Host": `general-detection.p.rapidapi.com`,
      },
    })
  },
})

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}}