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README.md

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+# my_vits_model
+
+## Model Description
+A VITS-based TTS model for English speech synthesis
+
+- **Language(s)**: English
+- **Type**: Single-speaker Text-to-Speech
+- **Model Type**: VITS
+- **Framework**: Coqui TTS
+- **Uploaded**: 2025-05-29
+
+## Intended Use
+- **Primary Use**: Generating single-speaker speech from text input for applications like virtual assistants, audiobooks, or accessibility tools.
+- **Out of Scope**: Real-time applications if not optimized for low latency.
+
+## Usage
+To load and use the model:
+```python
+from safetensors.torch import load_file
+from TTS.config import load_config
+from TTS.tts.models import setup_model
+
+# Load configuration
+config = load_config("config.json")
+model = setup_model(config)
+
+# Load weights
+state_dict = load_file("my_vits_model.safetensors")
+model.load_state_dict(state_dict)
+model.eval()
+
+# Example inference
+text = "Hello, this is a test."
+wav = model.inference(text, speaker_id=0 if False else None)
+```
+
+## Training Data
+- **Dataset**: Custom dataset
+- **Preprocessing**: Text normalized, audio sampled at 22050 Hz
+
+## Evaluation
+- **Metrics**: [Add metrics, e.g., Mean Opinion Score (MOS), Word Error Rate (WER)]
+- **Results**: [Add results, e.g., "Achieved MOS of 4.2 on test set"]
+
+## Limitations
+- Limited to English language(s).
+- Performance may vary with noisy or complex input text.
+- 
+
+## License
+- Released under apache-2.0.
+
+## Ethical Considerations
+- Ensure responsible use to avoid generating misleading or harmful audio content.
+- Verify input text to prevent biased or offensive outputs.
+
+## Dependencies
+- `TTS` (Coqui TTS)
+- `safetensors`
+- `torch`