Update README.md

README.md

@@ -13,3 +13,208 @@ short_description: Kokoro, But It Clones Voices Now
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# KokoClone
+
+[![Hugging Face Space](https://img.shields.io/badge/🤗%20Hugging%20Face-Live%20Demo-blue)](https://huggingface.co/spaces/PatnaikAshish/kokoclone)
+[![Hugging Face Models](https://img.shields.io/badge/🤗%20Models-Repository-orange)](https://huggingface.co/PatnaikAshish/kokoclone)
+[![Python](https://img.shields.io/badge/Python-3.10+-3776AB.svg?logo=python\&logoColor=white)]
+[![License](https://img.shields.io/badge/License-Apache_2.0-green.svg)](https://opensource.org/licenses/Apache-2.0)
+
+
+
+##  What is KokoClone?
+
+**KokoClone** is a fast, real-time compatible multilingual voice cloning system built on top of **Kokoro-ONNX**, one of the fastest open-source neural TTS engines available today.
+
+It allows you to:
+
+* Type text in multiple languages
+* Provide a short 3–10 second reference audio clip
+* Instantly generate speech in that same voice
+
+
+Just text → voice → cloned output.
+
+
+##  Why Kokoro?
+
+KokoClone is powered by **Kokoro-ONNX**, a highly optimized neural TTS engine designed for:
+
+*  Extremely fast inference
+*  Natural prosody and expressive speech
+*  Lightweight ONNX runtime compatibility
+*  Real-time deployment on CPU
+*  Even faster performance with GPU
+
+Unlike many heavy TTS systems, Kokoro is lightweight and responsive — making KokoClone suitable for real-time applications, voice assistants, demos, and interactive tools.
+
+
+##  Features
+
+###  Multilingual Speech Generation
+
+Generate native speech in:
+
+* English (`en`)
+* Hindi (`hi`)
+* French (`fr`)
+* Japanese (`ja`)
+* Chinese (`zh`)
+* Italian (`it`)
+* Portuguese (`pt`)
+* Spanish (`es`)
+
+
+###  Zero-Shot Voice Cloning
+
+Upload a short voice sample and KokoClone transfers its vocal characteristics to the generated speech.
+
+
+###  Real-Time Friendly
+
+Built on Kokoro’s efficient ONNX runtime pipeline, KokoClone runs smoothly on:
+
+* Standard laptops (CPU)
+* Workstations (GPU)
+
+
+###  Automatic Model Handling
+
+On first run, required model files are downloaded automatically and placed in the correct directories.
+
+
+###  Built-in Web Interface
+
+Includes a clean and responsive Gradio UI for quick testing and demos.
+
+
+
+##  Live Demo
+
+Try it instantly without installing anything:
+
+👉 **[KokoClone on Hugging Face Spaces](https://huggingface.co/spaces/PatnaikAshish/kokoclone)**
+
+
+
+##  Installation
+
+Recommended: Use `conda` for a clean environment.
+
+###  Clone the Repository
+
+```bash
+git clone https://github.com/Ashish-Patnaik/kokoclone.git
+cd kokoclone
+```
+
+###  Create Environment
+
+```bash
+conda create -n kokoclone python=3.12.12 -y
+conda activate kokoclone
+```
+
+
+
+##  Install Dependencies
+
+###  CPU Installation (Recommended for most users)
+
+```bash
+pip install torch torchaudio --index-url https://download.pytorch.org/whl/cpu
+pip install -r requirements.txt
+```
+
+###  GPU Installation (NVIDIA users)
+
+```bash
+pip install -r requirements.txt
+pip install kokoro-onnx[gpu]
+```
+
+
+
+##  Usage
+
+KokoClone can be used in three ways:
+
+
+
+###  Web Interface
+
+Launch the Gradio app:
+
+```bash
+python app.py
+```
+
+Then open the browser interface to:
+
+* Enter text
+* Select language
+* Upload a reference voice
+* Generate cloned speech
+
+
+
+###  Command Line
+
+```bash
+python cli.py --text "Hello from KokoClone" --lang en --ref reference.wav --out output.wav
+```
+
+
+
+###  Python API
+
+```python
+from core.cloner import KokoClone
+
+cloner = KokoClone()
+
+cloner.generate(
+    text="This voice is cloned using KokoClone.",
+    lang="en",
+    reference_audio="reference.wav",
+    output_path="output.wav"
+)
+```
+
+
+
+##  Project Structure
+
+```
+app.py              → Gradio Web Interface
+cli.py              → Command-line tool
+core/cloner.py      → Core inference engine
+inference.py        → Example usage script
+model/              → Downloaded TTS model weights
+voice/              → Voice embeddings
+```
+
+
+
+##  Use Cases
+
+* Voice assistant prototypes
+* Real-time TTS demos
+* Multilingual narration tools
+* Content creation
+* Research experiments
+* Interactive AI applications
+
+
+
+##  Acknowledgments
+
+This project builds upon:
+
+* **Kokoro-ONNX** — for fast and efficient neural speech synthesis
+* **Kanade Tokenizer** — for voice conversion architecture
+
+
+##  License
+
+Licensed under the Apache 2.0 License.