Integrate the Codeq Natural Language Processing API API with the Python API

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

Popular Codeq Natural Language Processing API and Python Actions#

Analyze Document with the Codeq Natural Language Processing API API

Receives a text and returns a JSON object containing a list of analyzed sentences. See the docs here

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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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Check Similarity with the Codeq Natural Language Processing API API

Receives two texts and returns a JSON object containing the text similarity score. See the docs here

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Overview of Codeq Natural Language Processing API#

The Codeq Natural Language Processing API provides powerful text analysis capabilities. It parses and understands complex structures in text, extracting meaningful insights. On Pipedream, you can harness this API to analyze text data from various sources, automate content categorization, sentiment analysis, or even construct rich profiles of user feedback. With Pipedream's serverless platform, these processes can be automated, triggered by events, and integrated with numerous other apps to create robust, data-driven workflows.

Connect Codeq Natural Language Processing API#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    codeq_natural_language_processing_api: {
      type: "app",
      app: "codeq_natural_language_processing_api",
    }
  },
  async run({steps, $}) {
    const data = {
      "user_id": `${this.codeq_natural_language_processing_api.$auth.user_id}`,
      "user_key": `${this.codeq_natural_language_processing_api.$auth.user_key}`,
      "text": `{your_text}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.codeq.com/v1`,
      headers: {
        "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}}