Integrate the Deepgram API with the Python API

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

Popular Deepgram and Python Actions#

Get Balance with the Deepgram API

Retrieves details about the specified balance. 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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Get Project with the Deepgram API

Retrieves basic information about the specified project. See the documentation

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Get Request with the Deepgram API

Retrieves the details of the specified request sent to the Deepgram API for the specified project. See the documentation

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List Balances with the Deepgram API

Generates a list of outstanding balances for the specified project. See the documentation

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Overview of Deepgram#

The Deepgram API offers powerful speech recognition capabilities, enabling you to transcribe, search, and analyze audio data with ease. With its cutting-edge machine learning models, you can uncover insights from voice conversations, automate content moderation, and enhance user experience by converting spoken words into text. Pipedream, as a serverless integration platform, empowers you to craft custom workflows that harness the potential of Deepgram. By connecting to various apps, you can automate complex tasks, analyze audio data on-the-fly, and respond to audio-driven events.

Connect Deepgram#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deepgram: {
      type: "app",
      app: "deepgram",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.deepgram.com/v1/projects`,
      headers: {
        "Authorization": `Token ${this.deepgram.$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}}

Community Posts#

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