Update README.md

README.md

@@ -6,21 +6,32 @@ base_model:
 - coqui/XTTS-v1
 ---
 
+# Fine-Tuned Xtts Model
 
-trained on this video https://www.youtube.com/watch?v=u6J20_Aem3Y
-mp3 copy used for training is in files
+This project fine-tunes a TTS (Text-to-Speech) model using an mp3 file extracted from a YouTube video. The training was conducted on a Hugging Face Space running locally via Docker. A GPU is recommended for faster training.
 
-Trained Using this space as a local docker(gpu is probs needed)
-https://huggingface.co/spaces/drewThomasson/FineTune_Xtts
+### Training Data
+- **Source Video**: [YouTube Video](https://www.youtube.com/watch?v=u6J20_Aem3Y)
+- **Training Audio**: The mp3 file used for training is included in the `files` directory.
 
-docker run command for training:
+### Hugging Face Space
+The fine-tuning process is based on the Hugging Face Space found here:  
+[FineTune Xtts Space](https://huggingface.co/spaces/drewThomasson/FineTune_Xtts)
 
-with GPU:
+### Docker Setup
+
+#### With GPU
+To run the training with GPU support:
+```bash
 docker run -it -p 7860:7860 --gpus all --pull always --platform=linux/amd64 registry.hf.space/drewthomasson-finetune-xtts:latest python app.py
+```
 
-without GPU:
+#### Without GPU
+To run without GPU support:
+```bash
 docker run -it -p 7860:7860 --pull always --platform=linux/amd64 registry.hf.space/drewthomasson-finetune-xtts:latest python app.py
+```
 
-
-
-
+### Notes
+- Ensure you have a GPU available for optimal performance during training.
+- The Docker image pulls the latest version each time it's run.