Update README.md

README.md

@@ -50,22 +50,9 @@ Fertility Rate (FR) measures the average tokens generated per word. A lower FR i
 * **Morphological Stemmer:** Rule-based suffix stripping tailored for Sindhi noun and verb forms.
 
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-
 ## ⚖️ License
 Licensed under the **MIT License**.
-
-## 💻 Quick Start
-```python
-from sindhinltk import SindhiNLP
-
-nlp = SindhiNLP()
-text = "سنڌي ٻولي تمام مٺي ۽ خوبصورت آهي"
-result = nlp.process(test_text)
-
-print(result['tokens']) # ['سنڌي', 'ٻولي', 'تمام', 'مٺي', '۽', 'خوبصورت', 'آهي']
-print(result['sentiment']) # {'label': 'Positive', 'confidence': '54.11%'}
-
-## 👤 About the Author
+ ## 👤 About the Author
 
 **Aakash Meghwar** is a Computational Linguist specializing in the digital evolution of South Asian languages.
 
@@ -91,3 +78,15 @@ I am actively seeking **PhD opportunities** and **Research Collaborations** in:
 **Contact**: [aakashmeghwar01@gmail.com](mailto:aakashmeghwar01@gmail.com) | [LinkedIn](https://www.linkedin.com/in/aakashmeghwar/)
 
 ---
+## 💻 Quick Start
+```python
+from sindhinltk import SindhiNLP
+
+nlp = SindhiNLP()
+text = "سنڌي ٻولي تمام مٺي ۽ خوبصورت آهي"
+result = nlp.process(test_text)
+
+print(result['tokens']) # ['سنڌي', 'ٻولي', 'تمام', 'مٺي', '۽', 'خوبصورت', 'آهي']
+print(result['sentiment']) # {'label': 'Positive', 'confidence': '54.11%'}
+
+