Integrate the Intellexer API API with the Python API

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

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Popular Intellexer API and Python Actions#

Detect Language with the Intellexer API API

Recognize language and encoding of an input text stream. 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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Extract Named Entities with the Intellexer API API

Extract named entities from a document using Intellexer API. See the documentation

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Summarize Document with the Intellexer API API

Summarize a document using Intellexer API. See the documentation

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Summarize Text with the Intellexer API API

Summarize text using Intellexer API. See the documentation

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Overview of Intellexer API #

The Intellexer API offers a suite of linguistic and semantic analysis tools that can enhance text-based applications. With it, you can extract meaning, relations, and facts from the text, enabling smarter data management and decision-making processes. When paired with Pipedream's serverless execution model, the Intellexer API can be used to automate content analysis, enhance search functionalities, and preprocess data for more complex workflows.

Connect Intellexer API #

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    intellexer_api: {
      type: "app",
      app: "intellexer_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `http://api.intellexer.com/sentimentAnalyzerOntologies`,
      headers: {
        "Content-Type": `application/json`,
      },
      params: {
        apikey: `${this.intellexer_api.$auth.api_key}`,
      },
    })
  },
})

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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