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| title: Kokoro TTS Zero | |
| emoji: 📊 | |
| colorFrom: blue | |
| colorTo: gray | |
| sdk: gradio | |
| sdk_version: 5.9.1 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: A100 GPU Accelerated Inference applied to Kokoro-82M TTS | |
| # Kokoro TTS Demo Space | |
| A Zero GPU-optimized Hugging Face Space for the Kokoro TTS model. | |
| ## Overview | |
| This Space provides a Gradio interface for the Kokoro TTS model, allowing users to: | |
| - Convert text to speech using multiple voices | |
| - Adjust speech speed | |
| - Get instant audio playback | |
| ## Technical Details | |
| - Uses Zero GPU for efficient GPU resource management | |
| - Dynamically loads required modules from hexgrad/Kokoro-82M repository | |
| - Automatically downloads model and voice files from Hugging Face Hub | |
| - Implements proper GPU memory handling | |
| - Includes caching in /data/.huggingface for faster restarts | |
| ## Dependencies | |
| The Space uses modules from two repositories: | |
| - remsky/Kokoro-FastAPI: This repository (UI and Zero GPU implementation) | |
| - hexgrad/Kokoro-82M: Original model repository (core TTS functionality) | |
| All dependencies are automatically handled: | |
| - Core modules (kokoro.py, models.py, etc.) are downloaded from hexgrad/Kokoro-82M | |
| - Model weights and voice files are cached in /data/.huggingface | |
| - System dependencies (espeak-ng) are installed via packages.txt | |
| ## Environment | |
| - Python 3.10.13 | |
| - PyTorch 2.2.2 | |
| - Gradio 5.9.1 | |
| - Zero GPU compatible | |
| ## Available Voices | |
| Adult Female voices: | |
| - af: Confident, Friendly | |
| - af_sky: You know and Love her | |
| - af_bella: Warm and Self-Assured | |
| - af_nicole: Whispered, ASMR | |
| - af_sarah: Bright and Professional | |
| - bf_emma: Pensive and Confident, British | |
| - bf_isabella: Young Professional, British | |
| Adult Male voices: | |
| - am_adam: Deep Narrative Voice | |
| - am_michael: Trustworthy and Thoughtful | |
| - bm_george: Distinguished older voice, British | |
| - bm_lewis: Assured and Raspy, British | |
| ## Notes | |
| - First generation may take longer due to model initialization | |
| - GPU is allocated only during speech generation | |
| - Model and voices are cached in /data/.huggingface for faster subsequent runs | |