Explore Public Functions

Sieve has many functions available to reference in your code out of the box. Instead of rewriting the code for popular models and building blocks, you can use shared functions in a few lines.

There’s a few ways to run a public function, each of which is outlined on the function’s usage guide.

Here’s a couple examples of running the public sieve/autocrop function:

Make sure you replace your API key with the key from your settings

curl "https://mango.sievedata.com/v2/push" \
    -X POST \
    -H "Content-Type: application/json" \
    -H 'X-API-Key: <your-api-key>' \
    -d '{
        "function": "sieve/autocrop",
        "inputs": {
            "file": {
                "url": "https://storage.googleapis.com/sieve-prod-us-central1-public-file-upload-bucket/a3db863d-aaff-4243-9cd2-846bc9a64925/8888b955-21e9-4e59-b285-bf07437f76b9-input-file.mp4"
            }
        }
    }'

You should now see your job running in the dashboard where you can visualize outputs. You can also get job outputs via the API.

To run public functions with the client, we must first install the Sieve Python client & log in. You can find your API key here.

pip install sievedata
sieve login

Next, we’ll run some Python:

import sieve

file = sieve.File(url="https://storage.googleapis.com/sieve-prod-us-central1-public-file-upload-bucket/a3db863d-aaff-4243-9cd2-846bc9a64925/8888b955-21e9-4e59-b285-bf07437f76b9-input-file.mp4")
autocrop = sieve.function.get("sieve/autocrop")
output = autocrop.run(file)
print(list(output))

You’ll see your output directly returned in your Python code. You can also visualize your outputs in the dashboard.

To learn more about the Sieve Python syntax, follow along here.

Introduction

Custom Functions & Models

Walkthroughs

Reference

Reference (V1 Legacy)

Errors

Explore Public Functions