Integrate the SiteSpeakAI API with the Python API

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

Popular Ways to Connect SiteSpeakAI with Python#

Run Python Code with Python API on New Lead Created from SiteSpeakAI API

SiteSpeakAI + Python

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Popular SiteSpeakAI and Python Triggers#

New Lead Created from the SiteSpeakAI API

Emit new event when a new lead is created in SiteSpeakAI. See the documentation

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Popular SiteSpeakAI and Python Actions#

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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Send Query with the SiteSpeakAI API

Queries your chatbot and returns the answer and URLs used to find the answer. See the documentation

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Overview of SiteSpeakAI#

SiteSpeakAI is a versatile API that brings voice to your digital spaces. You can use it to convert text into lifelike spoken audio in various languages and dialects. With Pipedream, you can automate and integrate this capability into various workflows, reacting to events, processing data, and connecting with other APIs or services. Whether to enhance user experience with voice responses, create audio content dynamically, or provide accessibility features, SiteSpeakAI opens up a world of audio interaction possibilities.

Connect SiteSpeakAI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sitespeakai: {
      type: "app",
      app: "sitespeakai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sitespeak.ai/v1/me`,
      headers: {
        Authorization: `Bearer ${this.sitespeakai.$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}}