README.md

metadata

title: KaniTTS Web App
emoji: 🎤
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit

KaniTTS Web App

A text-to-speech web application using KaniTTS model with Gradio interface.

Prerequisites

• Python 3.10 or higher
• PyTorch 2.8.0 or higher (requires Linux or Apple Silicon Mac)

Note: This app requires PyTorch 2.8+. macOS x86_64 (Intel) only supports up to PyTorch 2.2.2. For Intel Macs, please use a cloud platform.

Cloud Deployment

Google Colab

1. Upload the files to Google Drive or clone from GitHub
2. Run: !pip install -r requirements.txt
3. Run: !python app.py

Hugging Face Spaces

1. Create a new Space with Gradio SDK
2. Upload app.py and requirements.txt
3. The app will automatically deploy

Replit

1. Create a new Python Repl
2. Upload the files
3. Install dependencies: pip install -r requirements.txt
4. Run: python app.py

Local Installation (Linux/Apple Silicon)

# Clone the repository
git clone <your-repo-url>
cd tts-app

# Create virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run the application
python app.py

Usage

1. Open your browser and go to: http://127.0.0.1:7860
2. Enter the text you want to convert to speech
3. Click the "Generate" button
4. Listen to the generated audio

Model Information

• Model: nineninesix/kani-tts-400m-en
• Sample Rate: 22050Hz (model default)
• Language: English