Integrate the TextCortex API with the Python API

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

Popular TextCortex and Python Actions#

Create Social Media Post with the TextCortex API

Create a social media post. See the documentation

Try it

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

Summarize Text with the TextCortex API

Summarize given text. The text can be provided as a string or as a file ID. See the documentation

Try it

Translate Text with the TextCortex API

Translate given text into another language. See the documentation

Try it

Overview of TextCortex#

The TextCortex API enables automated creation of human-like text, making it a powerful tool for a variety of text generation tasks like drafting emails, creating content, or generating product descriptions. With Pipedream, you can integrate TextCortex into serverless workflows to harness AI writing assistance, trigger content creation based on events, or enhance data with generated text. The API's capability enhances automation and can be combined with other apps for more complex tasks.

Connect TextCortex#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    textcortex: {
      type: "app",
      app: "textcortex",
    }
  },
  async run({steps, $}) {
    const data = {
      "mode": `voice_passive`,
      "text": `The sky is blue.`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.textcortex.com/v1/texts/rewritings`,
      headers: {
        Authorization: `Bearer ${this.textcortex.$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}}