LMNT
Empowering creative expression through speech. Create emotive, human-like speech and custom voices that delight.
Integrate the LMNT API with the Python API
Setup the LMNT API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate LMNT and Python remarkably fast. Free for developers.
Popular LMNT and Python Actions#
Generates a custom voice from a batch of input audio data. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Generates an audio file from the provided text. See the documentation
Connect LMNT#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
lmnt: {
type: "app",
app: "lmnt",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.lmnt.com/v1/account`,
headers: {
"X-API-Key": `${this.lmnt.$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}}