Natural Language for Developers
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Wit.ai API enables your apps to process natural language and understand human commands contextually. With it, you can build conversational interfaces, decipher intent from text or voice inputs, and train your model to improve recognition. Pipedream provides a seamless platform to trigger workflows using this API, allowing the automation of tasks based on language cues. It's perfect for crafting custom bots, enhancing customer service, or streamlining internal operations by interpreting human requests and taking action accordingly.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wit_ai: {
type: "app",
app: "wit_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.wit.ai/message?v=20170307&q=hello`,
headers: {
Authorization: `Bearer ${this.wit_ai.$auth.app_token}`,
},
})
},
})
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}}