with Palatine Speech and Python?
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
import { axios } from "@pipedream/platform";
export default defineComponent({
props: {
palatine_speech: {
type: "app",
app: "palatine_speech",
}
},
async run({steps, $}) {
const data = "<your text to summarize here>";
return await axios($, {
method: "post",
url: `https://api.palatine.ru/api/v1/ai_service/summarize_text`,
headers: {
Authorization: `Bearer ${this.palatine_speech.$auth.api_key}`,
"content-type": `text/plain`,
},
params: {
task: `meeting_summary`,
},
data,
})
},
})
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:
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}}