bramhooimeijer/emotivoice – Run with an API on Replicate

bramhooimeijer / emotivoice

Create speech with a wide range of emotions

Cold

Public
11.3K runs
L40S
GitHub
License

Run with an API

Playground API Examples README Versions

Input

prompt

string

Shift + Return to add a new line

Input prompt

Default: "Happy"

content

string

Shift + Return to add a new line

Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S EngineEmoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine

Input text

Default: "Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine"

language

string

Language

Default: "English"

speaker

string

speakers

Default: "8051"

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

npx create-replicate --model=bramhooimeijer/emotivoice

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

const output = await replicate.run(
  "bramhooimeijer/emotivoice:261b541053a0a30d922fd61bb47fbbc669941cb84f96a8f0042f14e8ad34f494",
  {
    input: {
      prompt: "Happy",
      content: "Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine",
      speaker: "8051",
      language: "English"
    }
  }
);
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 bramhooimeijer/emotivoice using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.

output = replicate.run(
    "bramhooimeijer/emotivoice:261b541053a0a30d922fd61bb47fbbc669941cb84f96a8f0042f14e8ad34f494",
    input={
        "prompt": "Happy",
        "content": "Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine",
        "speaker": "8051",
        "language": "English"
    }
)
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 bramhooimeijer/emotivoice 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": "261b541053a0a30d922fd61bb47fbbc669941cb84f96a8f0042f14e8ad34f494",
    "input": {
      "prompt": "Happy",
      "content": "Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine",
      "speaker": "8051",
      "language": "English"
    }
  }' \
  https://api.replicate.com/v1/predictions

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

You can run this model locally using Cog. First, install Cog:

brew install cog

If you don’t have Homebrew, there are other installation options available.

Run this to download the model and run it in your local environment:

cog predict r8.im/bramhooimeijer/emotivoice@sha256:261b541053a0a30d922fd61bb47fbbc669941cb84f96a8f0042f14e8ad34f494 \
  -i 'prompt="Happy"' \
  -i 'content="Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine"' \
  -i 'speaker="8051"' \
  -i 'language="English"'

To learn more, take a look at the Cog documentation.

Run this to download the model and run it in your local environment:

docker run -d -p 5000:5000 --gpus=all r8.im/bramhooimeijer/emotivoice@sha256:261b541053a0a30d922fd61bb47fbbc669941cb84f96a8f0042f14e8ad34f494
curl -s -X POST \
  -H "Content-Type: application/json" \
  -d $'{
    "input": {
      "prompt": "Happy",
      "content": "Emoti-Voice - a Multi-Voice and Prompt-Controlled T-T-S Engine",
      "speaker": "8051",
      "language": "English"
    }
  }' \
  http://localhost:5000/predictions

To learn more, take a look at the Cog documentation.

Output

No output yet! Press "Submit" to start a prediction.

Run time and cost

This model costs approximately $0.0023 to run on Replicate, or 434 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 Nvidia L40S GPU hardware. Predictions typically complete within 3 seconds. The predict time for this model varies significantly based on the inputs.

Readme

Forked from netease-youdao/EmotiVoic, credits to Youdao, huaxuan, Feng Zhou.

For more info on speakers, see the wiki page.