Prediction

pengdaqian2020/music-label:49f93cef87608197b9b570db991794a19f064d3d301c7843e1c9537393ffe4e1

Model

pengdaqian2020/music-label:49f93cef

nptqbwhpezb7xiw3fp2bfii3oa

Status

Succeeded

Source

Web

Hardware

CPU

Total duration

1.4s

Created

about 2 years ago

Input

audio_path: Video Player is loading.
Current Time 00:00:000
Duration 00:00:000
Loaded: 0%
Stream Type LIVE
Remaining Time 00:00:000

1x
Chapters
descriptions off, selected
captions settings, opens captions settings dialog
captions off, selected
Beginning of dialog window. Escape will cancel and close the window.
TextColorTransparency
BackgroundColorTransparency
WindowColorTransparency
Font Size
Text Edge Style
Font Family
End of dialog window.
score_general_threshold: 0.35
score_character_threshold: 0.85

{
  "audio_path": "https://replicate.delivery/pbxt/IqAA9PKBBSLIo3Umf7rvP4k9cBxIKFZHVOEsLsLCrGMNIvFr/origin.wav",
  "score_general_threshold": 0.35,
  "score_character_threshold": 0.85
}

Install Replicate’s Node.js client library:

npm install replicate

Import and set up the client:

import Replicate from "replicate";

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

Run pengdaqian2020/music-label using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "pengdaqian2020/music-label:49f93cef87608197b9b570db991794a19f064d3d301c7843e1c9537393ffe4e1",
  {
    input: {
      audio_path: "https://replicate.delivery/pbxt/IqAA9PKBBSLIo3Umf7rvP4k9cBxIKFZHVOEsLsLCrGMNIvFr/origin.wav",
      score_general_threshold: 0.35,
      score_character_threshold: 0.85
    }
  }
);

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

Import the client:

import replicate

Run pengdaqian2020/music-label using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "pengdaqian2020/music-label:49f93cef87608197b9b570db991794a19f064d3d301c7843e1c9537393ffe4e1",
    input={
        "audio_path": "https://replicate.delivery/pbxt/IqAA9PKBBSLIo3Umf7rvP4k9cBxIKFZHVOEsLsLCrGMNIvFr/origin.wav",
        "score_general_threshold": 0.35,
        "score_character_threshold": 0.85
    }
)
print(output)

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

Run pengdaqian2020/music-label 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": "pengdaqian2020/music-label:49f93cef87608197b9b570db991794a19f064d3d301c7843e1c9537393ffe4e1",
    "input": {
      "audio_path": "https://replicate.delivery/pbxt/IqAA9PKBBSLIo3Umf7rvP4k9cBxIKFZHVOEsLsLCrGMNIvFr/origin.wav",
      "score_general_threshold": 0.35,
      "score_character_threshold": 0.85
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

[ "pop", "drums" ]

Generated in

1.4 seconds

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