README_SPACE.md

metadata

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: Automatic sign-in with your HF account (OAuth enabled)

Quick Start

This Space runs HFStudio automatically. Simply:

1. Open the Space - The web interface will load automatically
2. Sign In (automatic) - You'll be automatically signed in with your HuggingFace account
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:

pip install hfstudio
hfstudio

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

Development

This Space is automatically synced from the GitHub repository.

To contribute or run locally for development:

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:

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 for details.

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