andreasjansson/audio-to-waveform – Run with an API on Replicate

andreasjansson / audio-to-waveform

Cold

Public
39 runs
CPU

Run with an API

Playground API Examples README Versions

Input

audio

*file

Audio file to create waveform from

caption_text

string

Shift + Return to add a new line

Caption text for the video

Default: ""

bg_color

string

Shift + Return to add a new line

Background color of waveform

Default: "#000000"

fg_alpha

number

Opacity of foreground waveform

Default: 0.75

bars_color

string

Shift + Return to add a new line

Color of waveform bars

Default: "#ffffff"

bar_count

integer

Number of bars in waveform

Default: 100

bar_width

number

Width of bars in waveform. 1 represents full width, 0.5 represents half width, etc.

Default: 0.4

width

integer

Video width

Default: 1000

waveform_height

integer

Height of the waveform

Default: 200

caption_height

integer

Height of the caption text box

Default: 150

caption_left_right_padding

integer

Padding to the left and right of the caption text

Default: 50

caption_top_padding

integer

Padding to the top of the caption text

Default: 10

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

npx create-replicate --model=andreasjansson/audio-to-waveform

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 andreasjansson/audio-to-waveform using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "andreasjansson/audio-to-waveform:57df2f3485cc1134c755177942c5925a32a8af59ccc801deb37b3b0b422d4b44",
  {
    input: {
      width: 1000,
      bg_color: "#000000",
      fg_alpha: 0.75,
      bar_count: 100,
      bar_width: 0.4,
      bars_color: "#ffffff",
      caption_text: "",
      caption_height: 150,
      waveform_height: 200,
      caption_top_padding: 10,
      caption_left_right_padding: 50
    }
  }
);

// 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 andreasjansson/audio-to-waveform using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "andreasjansson/audio-to-waveform:57df2f3485cc1134c755177942c5925a32a8af59ccc801deb37b3b0b422d4b44",
    input={
        "width": 1000,
        "bg_color": "#000000",
        "fg_alpha": 0.75,
        "bar_count": 100,
        "bar_width": 0.4,
        "bars_color": "#ffffff",
        "caption_text": "",
        "caption_height": 150,
        "waveform_height": 200,
        "caption_top_padding": 10,
        "caption_left_right_padding": 50
    }
)
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 andreasjansson/audio-to-waveform 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": "57df2f3485cc1134c755177942c5925a32a8af59ccc801deb37b3b0b422d4b44",
    "input": {
      "width": 1000,
      "bg_color": "#000000",
      "fg_alpha": 0.75,
      "bar_count": 100,
      "bar_width": 0.4,
      "bars_color": "#ffffff",
      "caption_text": "",
      "caption_height": 150,
      "waveform_height": 200,
      "caption_top_padding": 10,
      "caption_left_right_padding": 50
    }
  }' \
  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 costs approximately $0.0051 to run on Replicate, or 196 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.

This model runs on CPU hardware. Predictions typically complete within 52 seconds. The predict time for this model varies significantly based on the inputs.

Readme

This model doesn't have a readme.