Integrate the astica.ai API with the Python API

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

Popular astica.ai and Python Actions#

Describe Image with the astica.ai API

Analyze an image with Astica AI 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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Speech To Text with the astica.ai API

Transcribe an audio file to text with Astica AI See the documentation

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Text To Speech with the astica.ai API

Convert text to voice audio with Astica AI See the documentation

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Overview of astica.ai#

The Astica.ai API affords developers the ability to tap into advanced natural language processing (NLP) capabilities. By integrating this API into Pipedream workflows, you can automate text analysis, summarization, sentiment analysis, and more, leveraging the AI-powered insights to enrich applications or streamline processes. Pipedream’s serverless platform makes it painless to set up event-driven workflows that respond to various triggers and manipulate or move data between apps with no need for infrastructure management.

Connect astica.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    astica_ai: {
      type: "app",
      app: "astica_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "tkn": `${this.astica_ai.$auth.api_key}`,
      "modelVersion": `2.1_full`,
      "input": `https://www.astica.org/inputs/analyze_3.jpg`,
      "visionParams": `gpt, describe, describe_all, tags, objects`,
      "gpt_prompt": ``,
      "gpt_length": `90`,
    }
    return await axios($, {
      method: "post",
      url: `https://vision.astica.ai/describe`,
      headers: {
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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}}