Prediction

Model

lee101/guided-text-to-speech:fc0617a3

my3t4g8q0xrg80cfsefbt2n48r

Status

Succeeded

Source

Web

Hardware

Total duration

4m 42s

Created

over 1 year ago by lee101

Webhook

–

Input

prompt: What are you wanting to chat about today?
voice: A male speaker with a low-pitched narrator story voice, expressive energetic voice delivers words fast pace in a open space with very clear audio.

{
  "prompt": "What are you wanting to chat about today?",
  "voice": "A male speaker with a low-pitched narrator story voice, expressive energetic voice delivers words fast pace in a open space with very clear audio."
}

Install Replicate’s Node.js client library:

npm install replicate

Set the REPLICATE_API_TOKEN environment variable:

export REPLICATE_API_TOKEN=r8_7Lr**********************************

This is your API token. Keep it to yourself.

Import and set up the client:

import Replicate from "replicate";
import fs from "node:fs";

const replicate = new Replicate({
  auth: process.env.REPLICATE_API_TOKEN,
});

Run lee101/guided-text-to-speech using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

const output = await replicate.run(
  "lee101/guided-text-to-speech:fc0617a394340824a7dd1aa78f76e92c061449abd48e67ee9dbe30a6448c8be2",
  {
    input: {
      prompt: "What are you wanting to chat about today?",
      voice: "A male speaker with a low-pitched narrator story voice, expressive energetic voice delivers words fast pace in a open space with very clear audio."
    }
  }
);

// 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=r8_7Lr**********************************

This is your API token. Keep it to yourself.

Import the client:

import replicate

Run lee101/guided-text-to-speech using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "lee101/guided-text-to-speech:fc0617a394340824a7dd1aa78f76e92c061449abd48e67ee9dbe30a6448c8be2",
    input={
        "prompt": "What are you wanting to chat about today?",
        "voice": "A male speaker with a low-pitched narrator story voice, expressive energetic voice delivers words fast pace in a open space with very clear audio."
    }
)

# To access the file URL:
print(output.url())
#=> "http://example.com"

# To write the file to disk:
with open("my-image.png", "wb") as file:
    file.write(output.read())

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=r8_7Lr**********************************

This is your API token. Keep it to yourself.

Run lee101/guided-text-to-speech 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": "lee101/guided-text-to-speech:fc0617a394340824a7dd1aa78f76e92c061449abd48e67ee9dbe30a6448c8be2",
    "input": {
      "prompt": "What are you wanting to chat about today?",
      "voice": "A male speaker with a low-pitched narrator story voice, expressive energetic voice delivers words fast pace in a open space with very clear audio."
    }
  }' \
  https://api.replicate.com/v1/predictions

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

Output

{
  "id": "my3t4g8q0xrg80cfsefbt2n48r",
  "model": "lee101/guided-text-to-speech",
  "version": "fc0617a394340824a7dd1aa78f76e92c061449abd48e67ee9dbe30a6448c8be2",
  "input": {
    "prompt": "What are you wanting to chat about today?",
    "voice": "A male speaker with a low-pitched narrator story voice, expressive energetic voice delivers words fast pace in a open space with very clear audio."
  },
  "logs": "Using the model-agnostic default `max_length` (=2580) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation.\nCalling `sample` directly is deprecated and will be removed in v4.41. Use `generate` or a custom generation loop instead.\n--- Logging error ---\nTraceback (most recent call last):\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py\", line 1110, in emit\nmsg = self.format(record)\n^^^^^^^^^^^^^^^^^^^\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py\", line 953, in format\nreturn fmt.format(record)\n^^^^^^^^^^^^^^^^^^\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py\", line 687, in format\nrecord.message = record.getMessage()\n^^^^^^^^^^^^^^^^^^^\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py\", line 377, in getMessage\nmsg = msg % self.args\n~~~~^~~~~~~~~~~\nTypeError: not all arguments converted during string formatting\nCall stack:\nFile \"<string>\", line 1, in <module>\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/multiprocessing/spawn.py\", line 122, in spawn_main\nexitcode = _main(fd, parent_sentinel)\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/multiprocessing/spawn.py\", line 135, in _main\nreturn self._bootstrap(parent_sentinel)\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/multiprocessing/process.py\", line 314, in _bootstrap\nself.run()\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/cog/server/worker.py\", line 179, in run\nself._loop()\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/cog/server/worker.py\", line 211, in _loop\nself._predict(ev.payload)\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/cog/server/worker.py\", line 221, in _predict\nresult = predict(**payload)\nFile \"/src/predict.py\", line 14, in predict\nsample_rate, audio_arr = gen_tts(prompt, voice)\nFile \"/src/parlerlib.py\", line 90, in gen_tts\ngeneration = model.generate(\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/torch/utils/_contextlib.py\", line 115, in decorate_context\nreturn func(*args, **kwargs)\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/parler_tts/modeling_parler_tts.py\", line 2608, in generate\noutputs = self.sample(\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/generation/utils.py\", line 2584, in sample\nreturn self._sample(*args, **kwargs)\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/generation/utils.py\", line 2730, in _sample\nlogger.warning_once(\nFile \"/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/utils/logging.py\", line 329, in warning_once\nself.warning(*args, **kwargs)\nMessage: '`eos_token_id` is deprecated in this function and will be removed in v4.41, use `stopping_criteria=StoppingCriteriaList([EosTokenCriteria(eos_token_id=eos_token_id)])` instead. Otherwise make sure to set `model.generation_config.eos_token_id`'\nArguments: (<class 'FutureWarning'>,)",
  "output": "https://replicate.delivery/czjl/Dkba34f2BQzjVCHHa2uVbIjye7UvnlJeXrcyMdtEMmJhEWzlA/tmpqr0mdm_w.mp3",
  "data_removed": false,
  "error": null,
  "source": "web",
  "status": "succeeded",
  "created_at": "2024-05-30T22:28:06.535Z",
  "started_at": "2024-05-30T22:32:25.818798Z",
  "completed_at": "2024-05-30T22:32:48.981541Z",
  "urls": {
    "cancel": "https://api.replicate.com/v1/predictions/my3t4g8q0xrg80cfsefbt2n48r/cancel",
    "get": "https://api.replicate.com/v1/predictions/my3t4g8q0xrg80cfsefbt2n48r",
    "web": "https://replicate.com/p/my3t4g8q0xrg80cfsefbt2n48r"
  },
  "metrics": {
    "predict_time": 23.162743,
    "total_time": 282.446541
  }
}

Generated in

23.2 seconds

Tweak it Report

Using the model-agnostic default `max_length` (=2580) to control the generation length. We recommend setting `max_new_tokens` to control the maximum length of the generation. Calling `sample` directly is deprecated and will be removed in v4.41. Use `generate` or a custom generation loop instead. --- Logging error --- Traceback (most recent call last): File "/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py", line 1110, in emit msg = self.format(record) ^^^^^^^^^^^^^^^^^^^ File "/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py", line 953, in format return fmt.format(record) ^^^^^^^^^^^^^^^^^^ File "/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py", line 687, in format record.message = record.getMessage() ^^^^^^^^^^^^^^^^^^^ File "/root/.pyenv/versions/3.11.9/lib/python3.11/logging/__init__.py", line 377, in getMessage msg = msg % self.args ~~~~^~~~~~~~~~~ TypeError: not all arguments converted during string formatting Call stack: File "<string>", line 1, in <module> File "/root/.pyenv/versions/3.11.9/lib/python3.11/multiprocessing/spawn.py", line 122, in spawn_main exitcode = _main(fd, parent_sentinel) File "/root/.pyenv/versions/3.11.9/lib/python3.11/multiprocessing/spawn.py", line 135, in _main return self._bootstrap(parent_sentinel) File "/root/.pyenv/versions/3.11.9/lib/python3.11/multiprocessing/process.py", line 314, in _bootstrap self.run() File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/cog/server/worker.py", line 179, in run self._loop() File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/cog/server/worker.py", line 211, in _loop self._predict(ev.payload) File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/cog/server/worker.py", line 221, in _predict result = predict(**payload) File "/src/predict.py", line 14, in predict sample_rate, audio_arr = gen_tts(prompt, voice) File "/src/parlerlib.py", line 90, in gen_tts generation = model.generate( File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/parler_tts/modeling_parler_tts.py", line 2608, in generate outputs = self.sample( File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/generation/utils.py", line 2584, in sample return self._sample(*args, **kwargs) File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/generation/utils.py", line 2730, in _sample logger.warning_once( File "/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/transformers/utils/logging.py", line 329, in warning_once self.warning(*args, **kwargs) Message: '`eos_token_id` is deprecated in this function and will be removed in v4.41, use `stopping_criteria=StoppingCriteriaList([EosTokenCriteria(eos_token_id=eos_token_id)])` instead. Otherwise make sure to set `model.generation_config.eos_token_id`' Arguments: (<class 'FutureWarning'>,)