mtg/music-arousal-valence:9ae3915e – Run with an API on Replicate

Version

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mtg /music-arousal-valence:9ae3915e

Playground API

Input

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

npx create-replicate --model=mtg/music-arousal-valence

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 mtg/music-arousal-valence using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "mtg/music-arousal-valence:9ae3915e0727ccad372d2608fe076cad87437306da79876df695c82a63149175",
  {
    input: {
      dataset: "emomusic",
      output_format: "Visualization",
      embedding_type: "msd-musicnn"
    }
  }
);
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 mtg/music-arousal-valence using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "mtg/music-arousal-valence:9ae3915e0727ccad372d2608fe076cad87437306da79876df695c82a63149175",
    input={
        "dataset": "emomusic",
        "output_format": "Visualization",
        "embedding_type": "msd-musicnn"
    }
)
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 mtg/music-arousal-valence 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": "9ae3915e0727ccad372d2608fe076cad87437306da79876df695c82a63149175",
    "input": {
      "dataset": "emomusic",
      "output_format": "Visualization",
      "embedding_type": "msd-musicnn"
    }
  }' \
  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/mtg/music-arousal-valence@sha256:9ae3915e0727ccad372d2608fe076cad87437306da79876df695c82a63149175 \
  -i 'dataset="emomusic"' \
  -i 'output_format="Visualization"' \
  -i 'embedding_type="msd-musicnn"'

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/mtg/music-arousal-valence@sha256:9ae3915e0727ccad372d2608fe076cad87437306da79876df695c82a63149175
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "dataset": "emomusic",
      "output_format": "Visualization",
      "embedding_type": "msd-musicnn"
    }
  }' \
  http://localhost:5000/predictions

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

Output

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