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with Microsoft Azure AI Translator and Python?
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Popular Microsoft Azure AI Translator and Python Actions#
Identifies the positioning of sentence boundaries in a piece of text. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Identifies the language of a piece of text. See the documentation
Translate text into the specified language. See the documentation
Connect Microsoft Azure AI Translator#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
microsoft_azure_ai_translator: {
type: "app",
app: "microsoft_azure_ai_translator",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.microsoft_azure_ai_translator.$auth.endpoint}/languages`,
headers: {
"Ocp-Apim-Subscription-Key": `${this.microsoft_azure_ai_translator.$auth.api_key}`,
"Ocp-Apim-Subscription-Region": `${this.microsoft_azure_ai_translator.$auth.location}`,
"Content-Type": `application/json`,
},
params: {
"api-version": `3.0`
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies