turian/whisply:a79a905e – Run with an API on Replicate

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turian /whisply:a79a905e

Playground API

Input

audio_file

*file

Audio file to transcribe

language

string

Shift + Return to add a new line

Language code (e.g., 'en', 'fr', 'de')

model

string

Whisper model to use

Default: "large-v3-turbo"

subtitle

boolean

Generate subtitles (.srt, .vtt)

Default: false

sub_length

integer

(minimum: 1)

Subtitle segment length in words

Default: 5

translate

boolean

Translate to English

Default: false

annotate

boolean

Enable speaker annotation (requires HF token)

Default: false

num_speakers

integer

(minimum: 2)

Number of speakers to annotate (auto-detection if None)

hf_token

string

Shift + Return to add a new line

HuggingFace Access token for speaker annotation

verbose

boolean

Print text chunks during transcription

Default: false

post_correction

file

Path to YAML file for post-correction

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

npx create-replicate --model=turian/whisply

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

const output = await replicate.run(
  "turian/whisply:a79a905e8b574a5176a5884da730b8e591e1b16122144c8f02fa7f4610e9482d",
  {
    input: {
      model: "large-v3-turbo",
      verbose: false,
      annotate: false,
      subtitle: false,
      translate: false,
      sub_length: 5
    }
  }
);

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

output = replicate.run(
    "turian/whisply:a79a905e8b574a5176a5884da730b8e591e1b16122144c8f02fa7f4610e9482d",
    input={
        "model": "large-v3-turbo",
        "verbose": False,
        "annotate": False,
        "subtitle": False,
        "translate": False,
        "sub_length": 5
    }
)
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 turian/whisply 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": "turian/whisply:a79a905e8b574a5176a5884da730b8e591e1b16122144c8f02fa7f4610e9482d",
    "input": {
      "model": "large-v3-turbo",
      "verbose": false,
      "annotate": false,
      "subtitle": false,
      "translate": false,
      "sub_length": 5
    }
  }' \
  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.