anotherjesse/pget – Run with an API on Replicate

anotherjesse / pget

test running pget on a url from within a node

Cold

Public
19 runs
L40S
GitHub

Run with an API

Playground API Examples README Versions

Input

Run this model in Node.js with one line of code:

npx create-replicate --model=anotherjesse/pget

or set up a project from scratch

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import and set up the client:

import Replicate from "replicate";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run anotherjesse/pget using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "anotherjesse/pget:d5a322b8cd6fd8d20103e943ed867cadb5da6c66f9e5251b644a88c391d21952",
  {
    input: {
      extract: false,
      chunk_size: "125M",
      concurrency: 32
    }
  }
);
console.log(output);

To learn more, take a look at the guide on getting started with Node.js.

Install Replicate’s Python client library:

pip install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Import the client:

import replicate

Run anotherjesse/pget using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "anotherjesse/pget:d5a322b8cd6fd8d20103e943ed867cadb5da6c66f9e5251b644a88c391d21952",
    input={
        "extract": False,
        "chunk_size": "125M",
        "concurrency": 32
    }
)
print(output)

To learn more, take a look at the guide on getting started with Python.

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=<paste-your-token-here>

Find your API token in your account settings.

Run anotherjesse/pget using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

curl -s -X POST \
  -H "Authorization: Bearer $REPLICATE_API_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Prefer: wait" \
  -d $'{
    "version": "d5a322b8cd6fd8d20103e943ed867cadb5da6c66f9e5251b644a88c391d21952",
    "input": {
      "extract": false,
      "chunk_size": "125M",
      "concurrency": 32
    }
  }' \
  https://api.replicate.com/v1/predictions

To learn more, take a look at Replicate’s HTTP API reference docs.

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/anotherjesse/pget@sha256:d5a322b8cd6fd8d20103e943ed867cadb5da6c66f9e5251b644a88c391d21952 \
  -i 'extract=false' \
  -i 'chunk_size="125M"' \
  -i 'concurrency=32'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 r8.im/anotherjesse/pget@sha256:d5a322b8cd6fd8d20103e943ed867cadb5da6c66f9e5251b644a88c391d21952
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "extract": false,
      "chunk_size": "125M",
      "concurrency": 32
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

This is to test downloading URLs using pget from within replicate.

This is meant to help debug / test performance