Textgain is a language technology startup company that offers web services for predictive text analytics.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The Textgain API allows you to tap into advanced text analytics via Pipedream. It's designed to provide insights into text for various applications like sentiment analysis, language detection, and concept extraction. By integrating with Pipedream, you can automate the extraction of valuable data from text and connect it with countless other services for enhanced workflows, data processing, and decision-making.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
textgain: {
type: "app",
app: "textgain",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.textgain.com/diagnostics`,
params: {
key: `${this.textgain.$auth.api_key}`,
},
})
},
})
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}}