Integrate the Gladia API with the Python API

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

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Popular Gladia and Python Actions#

Send Audio For Transcription with the Gladia API

Sends audio to Gladia for transcription and optional translation. 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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Overview of Gladia#

The Gladia API offers a suite of AI-powered capabilities, including image recognition, text analysis, and language processing. With its integration on Pipedream, you can build serverless workflows to automate tasks like content moderation, data enrichment, and real-time translations. Leverage Gladia's AI functions within Pipedream to create powerful, event-driven workflows that respond to various triggers such as webhooks, schedules, or app events.

Connect Gladia#

import { axios } from "@pipedream/platform"
import FormData from 'form-data';

const form = new FormData();
form.append('audio_url', 'http://files.gladia.io/example/audio-transcription/split_infinity.wav');
form.append('toggle_diarization', 'true');

export default defineComponent({
  props: {
    gladia: {
      type: "app",
      app: "gladia",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.gladia.io/audio/text/audio-transcription/`,
      headers: {
         ...form.getHeaders(),
        "x-gladia-key": `${this.gladia.$auth.api_key}`,
      },
      data: form
    })
  },
})

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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