What do you want to automate
with JoggAI and Python?
Prompt, edit and deploy AI agents that connect to JoggAI, Python and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular JoggAI and Python Triggers#
Emit new event when the status of a video changes in JoggAI.
Popular JoggAI and Python Actions#
Creates an AI avatar photo using JoggAI API. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates an avatar video using JoggAI API. See the documentation
Creates a product from product info using JoggAI API. See the documentation
Creates a product from a URL using JoggAI API. See the documentation
Connect JoggAI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
joggai: {
type: "app",
app: "joggai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.jogg.ai/v1/templates`,
headers: {
"x-api-key": `${this.joggai.$auth.api_key}`,
},
})
},
})
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