Update README.md

README.md

@@ -24,7 +24,7 @@ library_name: sklearn
 - **Model Type:** Ensemble Machine Learning (Voting Classifier)
 - **Language(s):** Burmese (Myanmar)
 - **License:** MIT
-- **Parent Dataset:** [Myanmar Style Classification Corpus (MSCC)](https://huggingface.co/datasets/DatarrX/Myanmar-Style-Classification-Corpus)
+- **Trained on:** [Myanmar Style Classification Corpus (MSCC)](https://huggingface.co/datasets/DatarrX/Myanmar-Style-Classification-Corpus)
 
 ## Training Methodology
 
@@ -106,6 +106,16 @@ for text, pred, prob in zip(sample_texts, predictions, probabilities):
     confidence = prob[pred] * 100
     print(f"Text: {text} | Style: {label} ({confidence:.2f}% confidence)")
 ```
+---
+
+## 🔄 Beyond Classification: Style Transfer
+
+Once you have identified the style of your text using **myX-StyleClassifier**, you can use our transformation models to switch between registers:
+
+* **[myX-TransStyle-S2W](https://huggingface.co/DatarrX/myX-TransStyle-S2W):** Convert detected Spoken text into formal Written prose.
+* **[myX-TransStyle-W2S](https://huggingface.co/DatarrX/myX-TransStyle-W2S):** Transform detected Written text into natural Spoken dialogue.
+
+---
 
 ## Intended Use & Limitations
 
@@ -144,4 +154,7 @@ Khant Sint Heinn is especially interested in advancing low-resource languages an
 His goal is simple: to turn limited language resources into practical opportunities through clean data, useful tools, and community-driven innovation.
 
 **Connect with the Author:**  
-[GitHub](https://github.com/kalixlouiis) | [Hugging Face](https://huggingface.co/kalixlouiis) | [Kaggle](https://www.kaggle.com/organizations/kalixlouiis)
+[GitHub](https://github.com/kalixlouiis) | [Hugging Face](https://huggingface.co/kalixlouiis) | [Kaggle](https://www.kaggle.com/organizations/kalixlouiis)
+
+---
+*Developed with ❤️ by [DatarrX](https://huggingface.co/DatarrX) to empower the Myanmar AI ecosystem.*