Hugging Face
Build, train and deploy state of the art models powered by the reference open source in machine learning.
Integrate the Hugging Face API with the Python API
Setup the Hugging Face API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Hugging Face and Python remarkably fast. Free for developers.
Popular Hugging Face and Python Actions#
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model. See the docs.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories. See the docs.
This task is well known to translate text from one language to another. See the docs.
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects. See the docs.
Connect Hugging Face#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hugging_face: {
type: "app",
app: "hugging_face",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://huggingface.co/api/whoami-v2`,
headers: {
Authorization: `Bearer ${this.hugging_face.$auth.access_token}`,
},
})
},
})
Overview of Python#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
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}}