openai/whisper:80996966 – Run with an API on Replicate

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openai /whisper:80996966

Playground API

Input

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audio

*file

Audio file

transcription

string

Choose the format for the transcription

Default: "plain text"

translate

boolean

Translate the text to English when set to True

Default: false

language

string

Language spoken in the audio, specify 'auto' for automatic language detection

Default: "auto"

temperature

number

temperature to use for sampling

Default: 0

patience

number

optional patience value to use in beam decoding, as in https://arxiv.org/abs/2204.05424, the default (1.0) is equivalent to conventional beam search

suppress_tokens

string

Shift + Return to add a new line

comma-separated list of token ids to suppress during sampling; '-1' will suppress most special characters except common punctuations

Default: "-1"

initial_prompt

string

Shift + Return to add a new line

optional text to provide as a prompt for the first window.

condition_on_previous_text

boolean

if True, provide the previous output of the model as a prompt for the next window; disabling may make the text inconsistent across windows, but the model becomes less prone to getting stuck in a failure loop

Default: true

temperature_increment_on_fallback

number

temperature to increase when falling back when the decoding fails to meet either of the thresholds below

Default: 0.2

compression_ratio_threshold

number

if the gzip compression ratio is higher than this value, treat the decoding as failed

Default: 2.4

logprob_threshold

number

if the average log probability is lower than this value, treat the decoding as failed

Default: -1

no_speech_threshold

number

if the probability of the <|nospeech|> token is higher than this value AND the decoding has failed due to `logprob_threshold`, consider the segment as silence

Default: 0.6

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

npx create-replicate --model=openai/whisper

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

const output = await replicate.run(
  "openai/whisper:8099696689d249cf8b122d833c36ac3f75505c666a395ca40ef26f68e7d3d16e",
  {
    input: {
      audio: "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
      language: "auto",
      translate: false,
      temperature: 0,
      transcription: "plain text",
      suppress_tokens: "-1",
      logprob_threshold: -1,
      no_speech_threshold: 0.6,
      condition_on_previous_text: true,
      compression_ratio_threshold: 2.4,
      temperature_increment_on_fallback: 0.2
    }
  }
);
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 openai/whisper using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "openai/whisper:8099696689d249cf8b122d833c36ac3f75505c666a395ca40ef26f68e7d3d16e",
    input={
        "audio": "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
        "language": "auto",
        "translate": False,
        "temperature": 0,
        "transcription": "plain text",
        "suppress_tokens": "-1",
        "logprob_threshold": -1,
        "no_speech_threshold": 0.6,
        "condition_on_previous_text": True,
        "compression_ratio_threshold": 2.4,
        "temperature_increment_on_fallback": 0.2
    }
)
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 openai/whisper 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": "8099696689d249cf8b122d833c36ac3f75505c666a395ca40ef26f68e7d3d16e",
    "input": {
      "audio": "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
      "language": "auto",
      "translate": false,
      "temperature": 0,
      "transcription": "plain text",
      "suppress_tokens": "-1",
      "logprob_threshold": -1,
      "no_speech_threshold": 0.6,
      "condition_on_previous_text": true,
      "compression_ratio_threshold": 2.4,
      "temperature_increment_on_fallback": 0.2
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

segments

[ { "id": 0, "end": 18.6, "seek": 0, "text": " the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit for a queen's table a big wet stain was on the round carpet", "start": 0, "tokens": [ 50365, 264, 707, 27254, 436, 980, 366, 7908, 264, 2853, 390, 2159, 986, 9376, 293, 13436, 292, 382, 731, 31421, 520, 685, 366, 3318, 337, 257, 12206, 311, 3199, 257, 955, 6630, 16441, 390, 322, 264, 3098, 18119, 51295 ], "avg_logprob": -0.060722851171726135, "temperature": 0, "no_speech_prob": 0.05907342955470085, "compression_ratio": 1.412280701754386 }, { "id": 1, "end": 31.840000000000003, "seek": 1860, "text": " the kite dipped and swayed but stayed aloft the pleasant hours fly by much too soon the room was crowded with a mild wab", "start": 18.6, "tokens": [ 50365, 264, 38867, 45162, 293, 27555, 292, 457, 9181, 419, 6750, 264, 16232, 2496, 3603, 538, 709, 886, 2321, 264, 1808, 390, 21634, 365, 257, 15154, 261, 455, 51027 ], "avg_logprob": -0.1184891973223005, "temperature": 0, "no_speech_prob": 0.000253104604780674, "compression_ratio": 1.696969696969697 }, { "id": 2, "end": 45.2, "seek": 1860, "text": " the room was crowded with a wild mob this strong arm shall shield your honour she blushed when he gave her a white orchid", "start": 31.840000000000003, "tokens": [ 51027, 264, 1808, 390, 21634, 365, 257, 4868, 4298, 341, 2068, 3726, 4393, 10257, 428, 20631, 750, 25218, 292, 562, 415, 2729, 720, 257, 2418, 34850, 327, 51695 ], "avg_logprob": -0.1184891973223005, "temperature": 0, "no_speech_prob": 0.000253104604780674, "compression_ratio": 1.696969696969697 }, { "id": 3, "end": 48.6, "seek": 1860, "text": " the beetle droned in the hot june sun", "start": 45.2, "tokens": [ 51695, 264, 49735, 1224, 19009, 294, 264, 2368, 361, 2613, 3295, 51865 ], "avg_logprob": -0.1184891973223005, "temperature": 0, "no_speech_prob": 0.000253104604780674, "compression_ratio": 1.696969696969697 }, { "id": 4, "end": 52.38, "seek": 4860, "text": " the beetle droned in the hot june sun", "start": 48.6, "tokens": [ 50365, 264, 49735, 1224, 19009, 294, 264, 2368, 361, 2613, 3295, 50554 ], "avg_logprob": -0.30115177081181455, "temperature": 0.2, "no_speech_prob": 0.292143315076828, "compression_ratio": 0.8409090909090909 } ]

transcription

the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit for a queen's table a big wet stain was on the round carpet the kite dipped and swayed but stayed aloft the pleasant hours fly by much too soon the room was crowded with a mild wab the room was crowded with a wild mob this strong arm shall shield your honour she blushed when he gave her a white orchid the beetle droned in the hot june sun the beetle droned in the hot june sun

detected_language

english

{
  "completed_at": "2023-11-08T22:20:03.016803Z",
  "created_at": "2023-11-08T22:18:39.366570Z",
  "data_removed": false,
  "error": null,
  "id": "4bzv3trbxdeyon73ve6itzvycq",
  "input": {
    "audio": "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
    "model": "large-v3",
    "translate": false,
    "temperature": 0,
    "transcription": "plain text",
    "suppress_tokens": "-1",
    "logprob_threshold": -1,
    "no_speech_threshold": 0.6,
    "condition_on_previous_text": true,
    "compression_ratio_threshold": 2.4,
    "temperature_increment_on_fallback": 0.2
  },
  "logs": "Transcribe with large-v3 model.\nDetected language: English\n  0%|          | 0/5241 [00:00<?, ?frames/s]\n 35%|███▌      | 1860/5241 [00:03<00:06, 522.23frames/s]\n 93%|█████████▎| 4860/5241 [00:08<00:00, 583.46frames/s]\n100%|██████████| 5241/5241 [00:10<00:00, 479.51frames/s]\n100%|██████████| 5241/5241 [00:10<00:00, 506.10frames/s]",
  "metrics": {
    "predict_time": 16.57265,
    "total_time": 83.650233
  },
  "output": {
    "segments": [
      {
        "id": 0,
        "end": 18.6,
        "seek": 0,
        "text": " the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit for a queen's table a big wet stain was on the round carpet",
        "start": 0,
        "tokens": [
          50365,
          264,
          707,
          27254,
          436,
          980,
          366,
          7908,
          264,
          2853,
          390,
          2159,
          986,
          9376,
          293,
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          292,
          382,
          731,
          31421,
          520,
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          3318,
          337,
          257,
          12206,
          311,
          3199,
          257,
          955,
          6630,
          16441,
          390,
          322,
          264,
          3098,
          18119,
          51295
        ],
        "avg_logprob": -0.060722851171726135,
        "temperature": 0,
        "no_speech_prob": 0.05907342955470085,
        "compression_ratio": 1.412280701754386
      },
      {
        "id": 1,
        "end": 31.840000000000003,
        "seek": 1860,
        "text": " the kite dipped and swayed but stayed aloft the pleasant hours fly by much too soon the room was crowded with a mild wab",
        "start": 18.6,
        "tokens": [
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          38867,
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          293,
          27555,
          292,
          457,
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          419,
          6750,
          264,
          16232,
          2496,
          3603,
          538,
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          886,
          2321,
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          1808,
          390,
          21634,
          365,
          257,
          15154,
          261,
          455,
          51027
        ],
        "avg_logprob": -0.1184891973223005,
        "temperature": 0,
        "no_speech_prob": 0.000253104604780674,
        "compression_ratio": 1.696969696969697
      },
      {
        "id": 2,
        "end": 45.2,
        "seek": 1860,
        "text": " the room was crowded with a wild mob this strong arm shall shield your honour she blushed when he gave her a white orchid",
        "start": 31.840000000000003,
        "tokens": [
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          428,
          20631,
          750,
          25218,
          292,
          562,
          415,
          2729,
          720,
          257,
          2418,
          34850,
          327,
          51695
        ],
        "avg_logprob": -0.1184891973223005,
        "temperature": 0,
        "no_speech_prob": 0.000253104604780674,
        "compression_ratio": 1.696969696969697
      },
      {
        "id": 3,
        "end": 48.6,
        "seek": 1860,
        "text": " the beetle droned in the hot june sun",
        "start": 45.2,
        "tokens": [
          51695,
          264,
          49735,
          1224,
          19009,
          294,
          264,
          2368,
          361,
          2613,
          3295,
          51865
        ],
        "avg_logprob": -0.1184891973223005,
        "temperature": 0,
        "no_speech_prob": 0.000253104604780674,
        "compression_ratio": 1.696969696969697
      },
      {
        "id": 4,
        "end": 52.38,
        "seek": 4860,
        "text": " the beetle droned in the hot june sun",
        "start": 48.6,
        "tokens": [
          50365,
          264,
          49735,
          1224,
          19009,
          294,
          264,
          2368,
          361,
          2613,
          3295,
          50554
        ],
        "avg_logprob": -0.30115177081181455,
        "temperature": 0.2,
        "no_speech_prob": 0.292143315076828,
        "compression_ratio": 0.8409090909090909
      }
    ],
    "translation": null,
    "transcription": " the little tales they tell are false the door was barred locked and bolted as well ripe pears are fit for a queen's table a big wet stain was on the round carpet the kite dipped and swayed but stayed aloft the pleasant hours fly by much too soon the room was crowded with a mild wab the room was crowded with a wild mob this strong arm shall shield your honour she blushed when he gave her a white orchid the beetle droned in the hot june sun the beetle droned in the hot june sun",
    "detected_language": "english"
  },
  "started_at": "2023-11-08T22:19:46.444153Z",
  "status": "succeeded",
  "urls": {
    "get": "https://api.replicate.com/v1/predictions/4bzv3trbxdeyon73ve6itzvycq",
    "cancel": "https://api.replicate.com/v1/predictions/4bzv3trbxdeyon73ve6itzvycq/cancel"
  },
  "version": "4d50797290df275329f202e48c76360b3f22b08d28c196cbc54600319435f8d2"
}

Generated in

16.6 seconds

Tweak it Report

This example was created by a different version, openai/whisper:4d507972.