Text to Speech

In this example, we will generate audio from text.

Python
Swift
TypeScript
Rust

Create a new project

uv init demo && cd demo

Install dependencies

uv add uzu

Paste into main.py

import asyncio
from pathlib import Path

from uzu import Engine, EngineConfig


async def main() -> None:
    engine_config = EngineConfig.create()
    engine = await Engine.create(engine_config)

    model = await engine.model("fishaudio/s1-mini")
    if model is None:
        raise RuntimeError("Model not found")
    async for update in (await engine.download(model)).iterator():
        print(f"Download progress: {update.progress}")

    text = (
        "London is the capital of United Kingdom and one of the world's most influential cities, "
        "known for its rich history, cultural diversity, and global significance in finance, politics, and the arts. "
        "Situated along the River Thames, the city blends historic landmarks like Tower of London and Buckingham Palace "
        "with modern architecture such as The Shard. London is also home to renowned institutions including the British Museum "
        "and vibrant areas like Covent Garden, offering a mix of history, entertainment, and innovation that attracts millions of visitors each year."
    )
    output_path = Path.home() / "Desktop" / "output.wav"
    session = await engine.text_to_speech(model)
    pcm_batch = await session.synthesize(text)
    pcm_batch.save_as_wav(str(output_path))
    print(f"Output saved to: {output_path}")


if __name__ == "__main__":
    asyncio.run(main())

Run the snippet

uv run main.py

Create a new SwiftUI project

Add the SDK

Add this package through SPM:

https://github.com/trymirai/uzu.git

Paste the snippet

import Foundation
import Uzu

public func runTextToSpeech() async throws {
    let engineConfig = EngineConfig.create()
    let engine = try await Engine.create(config: engineConfig)
    
    guard let model = try await engine.model(identifier: "fishaudio/s1-mini") else {
        return
    }
    for try await update in try await engine.download(model: model).iterator() {
        print("Download progress: \(update.progress())")
    }
    
    let text = "London is the capital of United Kingdom and one of the world’s most influential cities, known for its rich history, cultural diversity, and global significance in finance, politics, and the arts. Situated along the River Thames, the city blends historic landmarks like Tower of London and Buckingham Palace with modern architecture such as The Shard. London is also home to renowned institutions including the British Museum and vibrant areas like Covent Garden, offering a mix of history, entertainment, and innovation that attracts millions of visitors each year."
    let outputPath = FileManager.default.homeDirectoryForCurrentUser
        .appendingPathComponent("Desktop")
        .appendingPathComponent("output.wav")
    let session = try await engine.textToSpeech(model: model)
    let pcmBatch = try await session.synthesize(input: text)
    try pcmBatch.saveAsWav(path: outputPath.path())
    print("Output saved to: \(outputPath.path())")
}

Add the snippet call

var body: some View {
    VStack {
        Text("On-device AI")
    }
    .onAppear() {
        Task {
            try await runExampleName()
        }
    }
}

Make a new project folder

mkdir demo && cd demo

Initialize with pnpm

pnpm init

Install dependencies

pnpm add typescript ts-node @types/node -D
pnpm add @trymirai/uzu

Initialize a tsconfig.json

{
    "compilerOptions": {
        "target": "es2020",
        "module": "commonjs",
        "moduleResolution": "node",
        "strict": true,
        "esModuleInterop": true,
        "outDir": "dist",
        "types": [
            "node"
        ]
    },
    "include": [
        "*.ts"
    ]
}

Create main.ts

import { Engine, EngineConfig } from '@trymirai/uzu';
import { homedir } from "os";
import { join } from "path";

async function main() {
    let engineConfig = EngineConfig.create();
    let engine = await Engine.create(engineConfig);

    let model = await engine.model('fishaudio/s1-mini');
    if (!model) {
        throw new Error('Model not found');
    }
    for await (const update of await engine.download(model)) {
        console.log('Download progress:', update.progress);
    }

    const text = "London is the capital of United Kingdom and one of the world’s most influential cities, known for its rich history, cultural diversity, and global significance in finance, politics, and the arts. Situated along the River Thames, the city blends historic landmarks like Tower of London and Buckingham Palace with modern architecture such as The Shard. London is also home to renowned institutions including the British Museum and vibrant areas like Covent Garden, offering a mix of history, entertainment, and innovation that attracts millions of visitors each year.";
    const outputPath = join(homedir(), "Desktop", "output.wav");
    let session = await engine.textToSpeech(model);
    let pcmBatch = await session.synthesize(text);
    pcmBatch.saveAsWav(outputPath);
    console.log('Output saved to: ', outputPath);
}

main().catch((error) => {
    console.error(error);
});

Run the snippet

pnpm ts-node main.ts

Create a new project

cargo new demo && cd demo

Install dependencies

cargo add uzu --git https://github.com/trymirai/uzu
cargo add tokio --features full

Paste into src/main.rs

use uzu::{
    engine::{Engine, EngineConfig},
    session::text_to_speech::TextToSpeechSessionStreamChunk,
    types::basic::PcmBatch,
};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let engine_config = EngineConfig::default();
    let engine = Engine::new(engine_config).await?;

    let model = engine.model("fishaudio/s1-mini".to_string()).await?.ok_or("Model not found")?;
    let downloader = engine.download(&model).await?;
    while let Some(update) = downloader.next().await {
        println!("Download progress: {}", update.progress());
    }

    let text = "London is the capital of United Kingdom and one of the world's most influential cities, \
        known for its rich history, cultural diversity, and global significance in finance, politics, and the arts. \
        Situated along the River Thames, the city blends historic landmarks like Tower of London and Buckingham Palace \
        with modern architecture such as The Shard. London is also home to renowned institutions including the British Museum \
        and vibrant areas like Covent Garden, offering a mix of history, entertainment, and innovation that attracts millions of visitors each year.";
    let output_path = dirs::home_dir().ok_or("Home not found")?.join("Desktop").join("output.wav");

    let session = engine.text_to_speech(model).await?;
    let stream = session.synthesize_stream(text.to_string()).await;
    let mut pcm_batches: Vec<PcmBatch> = Vec::new();
    while let Some(event) = stream.next().await {
        match event {
            TextToSpeechSessionStreamChunk::PcmBatch {
                batch,
            } => {
                pcm_batches.push(batch);
            },
            TextToSpeechSessionStreamChunk::Error {
                error,
            } => {
                println!("Error: {error}");
            },
        }
    }

    let pcm_batch_first = pcm_batches.first().ok_or("No batches")?;
    let pcm_batch_full = PcmBatch {
        samples: pcm_batches.iter().flat_map(|batch| batch.samples.iter().copied()).collect(),
        sample_rate: pcm_batch_first.sample_rate,
        channels: pcm_batch_first.channels,
        lengths: vec![pcm_batches.iter().flat_map(|batch| batch.lengths.iter().copied()).sum()],
    };
    pcm_batch_full.save_as_wav(output_path.to_string_lossy().to_string())?;
    println!("Output saved to: {}", output_path.display());

    Ok(())
}

Run the snippet

cargo run --release

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