myaiteam2/song-trimmer – Run with an API on Replicate

myaiteam2 / song-trimmer

Cold

Public
173 runs
CPU

Iterate in playground

Run with an API

Playground API Examples README Versions

Input

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audio_file

file

Input MP3 file

Default: "/path/to/default/file.mp3"

start_time

integer

Start time in MMSS format, e.g., 130 for 1 minute and 30 seconds

Default: 100

end_time

integer

End time in MMSS format, e.g., 625 for 6 minutes and 25 seconds

Default: 200

fade_out

boolean

Apply fade out effect to the last 2.5 seconds

Default: false

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

npx create-replicate --model=myaiteam2/song-trimmer

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 myaiteam2/song-trimmer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "myaiteam2/song-trimmer:782969b07b0e944a2988063b216e396f616dc4b4573a4774132dec00ee1dbe90",
  {
    input: {
      end_time: 200,
      fade_out: false,
      audio_file: "/path/to/default/file.mp3",
      start_time: 100
    }
  }
);

// To access the file URL:
console.log(output.url()); //=> "http://example.com"

// To write the file to disk:
fs.writeFile("my-image.png", 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 myaiteam2/song-trimmer using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "myaiteam2/song-trimmer:782969b07b0e944a2988063b216e396f616dc4b4573a4774132dec00ee1dbe90",
    input={
        "end_time": 200,
        "fade_out": False,
        "audio_file": "/path/to/default/file.mp3",
        "start_time": 100
    }
)
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 myaiteam2/song-trimmer 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": "myaiteam2/song-trimmer:782969b07b0e944a2988063b216e396f616dc4b4573a4774132dec00ee1dbe90",
    "input": {
      "end_time": 200,
      "fade_out": false,
      "audio_file": "/path/to/default/file.mp3",
      "start_time": 100
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

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

Run time and cost

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

Readme

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