HumanLoop
AI is the new platform. We help you build impactful applications on top of large language models and align these systems with human feedback.
Integrate the HumanLoop API with the Python API
Setup the HumanLoop API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate HumanLoop and Python remarkably fast. Free for developers.
Popular HumanLoop and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of HumanLoop#
The HumanLoop API provides a robust platform for incorporating AI and machine learning model feedback loops into applications, enabling continuous improvement of models based on human input. With Pipedream's capabilities, you can trigger workflows upon receiving data, process and analyze that data, and send it to HumanLoop to further train your AI models. This integration allows you to automate the data annotation process, handle user feedback, and improve your machine learning models over time.
Connect HumanLoop#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
humanloop: {
type: "app",
app: "humanloop",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.humanloop.com/v3/projects`,
headers: {
"X-API-KEY": `${this.humanloop.$auth.api_key}`,
"accept": `application/json`,
},
})
},
})
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}}