Hamsa
AI Models That Master Arabic Dialects
Integrate the Hamsa API with the Python API
Setup the Hamsa API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Hamsa and Python remarkably fast. Free for developers.
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Popular Hamsa and Python Actions#
Transform transcribed content into various formats for content marketing. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Converts text input into artificial speech using Hamsa. See the documentation
Automatically transcribe Arabic videos from YouTube URLs or direct links. See the documentation
Connect Hamsa#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hamsa: {
type: "app",
app: "hamsa",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tryhamsa.com/v1/projects/by-api-key`,
headers: {
"authorization": `Token ${this.hamsa.$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