Create README.md

README.md

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+---
+license: apache-2.0
+base_model:
+- coqui/XTTS-v2
+---
+# Auralis 🌌
+
+## Model Details 🛠️
+
+**Model Name:** Auralis  
+
+**Model Architecture:** Based on [Coqui XTTS-v2](https://huggingface.co/coqui/XTTS-v2) 
+
+**License:**  
+- license: Apache 2.0  
+- base_model: XTTS-v2 Components [Coqui AI License](https://coqui.ai/cpml)
+
+**Language Support:** English, Spanish, French, German, Italian, Portuguese, Polish, Turkish, Russian, Dutch, Czech, Arabic, Chinese (Simplified), Hungarian, Korean, Japanese, Hindi
+  
+**Developed by:** [AstraMind.ai](https://www.astramind.ai)
+  
+**GitHub:** [AstraMind AI](https://github.com/astramind-ai/Auralis/tree/main)
+
+**Primary Use Case:** Text-to-Speech (TTS) generation for real-world applications, including books, dialogues, and multilingual tasks.  
+
+---
+
+## Model Description 🚀
+
+Auralis transforms text into natural, high-quality speech with exceptional speed and scalability. It is powered by [Coqui XTTS-v2](https://huggingface.co/coqui/XTTS-v2) and optimized for both consumer-grade and high-performance GPUs. Auralis is designed to meet real-world needs like long-text processing, voice cloning, and concurrent request handling.
+
+### Key Features:
+- **Warp-Speed Processing:** Generate speech for an entire novel (e.g., Harry Potter) in ~10 minutes.  
+- **Hardware Friendly:** Requires <10GB VRAM on a single NVIDIA RTX 3090.  
+- **Scalable:** Handles multiple requests simultaneously.  
+- **Streaming:** Seamlessly processes long texts in a streaming format.  
+- **Custom Voices:** Enables voice cloning from short reference audio.  
+
+---
+
+## Quick Start ⭐
+
+```python
+from auralis import TTS, TTSRequest
+
+# Initialize the model
+tts = TTS().from_pretrained("AstraMindAI/xtts2-gpt")
+
+# Create a TTS request
+request = TTSRequest(
+    text="Hello Earth! This is Auralis speaking.",
+    speaker_files=["reference.wav"]
+)
+
+# Generate speech
+output = tts.generate_speech(request)
+output.save("output.wav")
+```
+
+---
+
+## Ebook Generation 📚
+
+Auralis converting ebooks into audio formats at lightning speed. For Python script, check out [ebook_audio_generator.py](https://github.com/astramind-ai/Auralis/blob/main/examples/vocalize_a_ebook.py).
+
+```python
+def process_book(chapter_file: str, speaker_file: str):
+    # Read chapter
+    with open(chapter_file, 'r') as f:
+        chapter = f.read()
+    
+    # You can pass the whole book, auralis will take care of splitting
+    
+    request = TTSRequest(
+            text=chapter,
+            speaker_files=[speaker_file],
+            audio_config=AudioPreprocessingConfig(
+                enhance_speech=True,
+                normalize=True
+            )
+        )
+        
+    output = tts.generate_speech(request)
+    
+    output.play()
+    output.save("chapter_output.wav")
+
+# Example usage
+process_book("chapter1.txt", "reference_voice.wav")
+```
+
+---
+
+## Intended Use 🌟
+
+Auralis is designed for:
+- **Content Creators:** Generate audiobooks, podcasts, or voiceovers.  
+- **Developers:** Integrate TTS into applications via a simple Python API.  
+- **Accessibility**: Providing audio versions of digital content for people with visual or reading difficulties. 
+- **Multilingual Scenarios:** Convert text to speech in multiple supported languages.  
+
+---
+
+## Performance 📊
+
+**Benchmarks on NVIDIA RTX 3090:**  
+- Short phrases (<100 characters): ~1 second  
+- Medium texts (<1,000 characters): ~5-10 seconds  
+- Full books (~100,000 characters): ~10 minutes  
+
+**Memory Usage:**  
+- Base VRAM: ~4GB  
+- Peak VRAM: ~10GB  
+
+---
+
+## Model Features 🛸
+
+1. **Speed & Efficiency:**  
+   - Smart batching for rapid processing of long texts.  
+   - Memory-optimized for consumer GPUs.  
+
+2. **Easy Integration:**  
+   - Python API with support for synchronous and asynchronous workflows.  
+   - Streaming mode for continuous playback during generation.  
+
+3. **Audio Quality Enhancements:**  
+   - Background noise reduction.  
+   - Voice clarity and volume normalization.  
+   - Customizable audio preprocessing.  
+
+4. **Multilingual Support:**  
+   - Automatic language detection.  
+   - High-quality speech in 15+ languages.  
+
+5. **Customization:**  
+   - Voice cloning using short reference clips.  
+   - Adjustable parameters for tone, pacing, and language.  
+
+---
+
+## Limitations & Ethical Considerations ⚠️
+
+- **Voice Cloning Risks:** Auralis supports voice cloning, which may raise ethical concerns about misuse. Use responsibly and ensure proper consent.  
+- **Accent Limitations:** While robust for many languages, accents and intonations may vary based on the input.  
+
+---
+
+## Citation 📜
+
+If you use Auralis in your research or projects, please cite:
+
+```bibtex
+@misc{auralis2024,
+  author = {AstraMind AI},
+  title = {Auralis: High-Performance Text-to-Speech Engine},
+  year = {2024},
+  url = {https://huggingface.co/AstraMindAI/auralis}
+}
+```