sidedwards/whisperx – Run with an API on Replicate

sidedwards / whisperx

WhisperX with accelerated transcription and advanced speaker diarization provides fast and accurate transcriptions with speaker segments.

Cold

Public
192 runs
L40S
GitHub

Run with an API

Playground API Examples README Versions

Input

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

npx create-replicate --model=sidedwards/whisperx

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

const output = await replicate.run(
  "sidedwards/whisperx:e9625c116484a995c0f8c77f1744ea8c518ff68528f254721caa525a69ab3236",
  {
    input: {
      debug: false,
      vad_onset: 0.5,
      batch_size: 64,
      vad_offset: 0.363,
      diarization: false,
      temperature: 0,
      align_output: false,
      language_detection_min_prob: 0,
      language_detection_max_tries: 5
    }
  }
);
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 sidedwards/whisperx using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "sidedwards/whisperx:e9625c116484a995c0f8c77f1744ea8c518ff68528f254721caa525a69ab3236",
    input={
        "debug": False,
        "vad_onset": 0.5,
        "batch_size": 64,
        "vad_offset": 0.363,
        "diarization": False,
        "temperature": 0,
        "align_output": False,
        "language_detection_min_prob": 0,
        "language_detection_max_tries": 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 sidedwards/whisperx 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": "e9625c116484a995c0f8c77f1744ea8c518ff68528f254721caa525a69ab3236",
    "input": {
      "debug": false,
      "vad_onset": 0.5,
      "batch_size": 64,
      "vad_offset": 0.363,
      "diarization": false,
      "temperature": 0,
      "align_output": false,
      "language_detection_min_prob": 0,
      "language_detection_max_tries": 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.

Run time and cost

This model runs on Nvidia L40S GPU hardware. We don't yet have enough runs of this model to provide performance information.

Readme

WhisperX with accelerated transcription and advanced speaker diarization provides fast and accurate transcriptions with speaker segments.

Based on: https://github.com/victor-upmeet/whisperx-replicate

Citation

@misc{bain2023whisperx,
      title={WhisperX: Time-Accurate Speech Transcription of Long-Form Audio}, 
      author={Max Bain and Jaesung Huh and Tengda Han and Andrew Zisserman},
      year={2023},
      eprint={2303.00747},
      archivePrefix={arXiv},
      primaryClass={cs.SD}
}

For more information, visit the WhisperX GitHub repository.