Integrate the Stammer.ai API with the Python API

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

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Popular Stammer.ai and Python Actions#

Message Chatbot with the Stammer.ai API

Sends a message to your chatbot. 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 Stammer.ai#

Stammer.ai API offers the ability to transcribe and analyze speech, making it invaluable for applications needing speech-to-text conversion, sentiment analysis, or keyword recognition. On Pipedream, you can harness these capabilities to automate data collection, content generation, and insight analysis. By connecting Stammer.ai with other apps, you can create powerful workflows that act on voice-driven data.

Connect Stammer.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    stammer_ai: {
      type: "app",
      app: "stammer_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.stammer.ai/en/user/api/v1/me/ `,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `Token ${this.stammer_ai.$auth.api_token}`,
      },
    })
  },
})

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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