---
title: Hfstudio
emoji: 🏆
colorFrom: green
colorTo: purple
sdk: gradio
sdk_version: 5.49.1
app_file: app.py
pinned: false
---

# HFStudio 🎙️

A local and API-based Text-to-Speech studio for creating high-quality speech from text.

## Features

- 🎯 **Multiple TTS Models**: Support for various TTS engines
- 🎭 **Voice Selection**: Choose from different voice models
- ⚡ **Real-time Generation**: Fast speech synthesis
- 🔧 **Parameter Control**: Fine-tune speed, stability, and similarity
- 🎵 **Audio Preview**: Built-in audio player with controls
- 🔐 **HuggingFace Integration**: Sign in with your HF account

## Quick Start

This Space runs HFStudio automatically. Simply:

1. **Open the Space** - The web interface will load automatically
2. **Sign In** (optional) - Click "Sign In with Hugging Face" for full features  
3. **Enter Text** - Type or paste the text you want to convert to speech
4. **Choose Voice** - Select from available voice models
5. **Adjust Settings** - Tune speed, stability, and other parameters
6. **Generate** - Click "Generate speech" to create audio
7. **Play & Download** - Use the built-in player to preview your audio

## Local Installation

Want to run HFStudio locally? Install via pip:

```bash
pip install hfstudio
hfstudio
```

Then visit `http://localhost:7860` in your browser.

## Development

This Space is automatically synced from the [GitHub repository](https://github.com/yourusername/hfstudio).

To contribute or run locally for development:

```bash
git clone https://github.com/yourusername/hfstudio
cd hfstudio
./run_dev.sh  # Starts both frontend and backend
```

## API Usage

HFStudio also provides a REST API for integration:

```python
import requests

# Generate speech
response = requests.post('https://abidlabs-hfstudio.hf.space/api/tts/generate', 
    json={
        "text": "Hello, world!",
        "voice_id": "sarah",
        "model_id": "coqui-tts"
    }
)

audio_data = response.json()
print(f"Audio URL: {audio_data['audio_url']}")
```

## License

MIT License - see [LICENSE](LICENSE) for details.

---

Built with ❤️ using [SvelteKit](https://kit.svelte.dev/) and [FastAPI](https://fastapi.tiangolo.com/)