Update README.md

README.md

@@ -149,16 +149,16 @@ With support for **120+ local business categories**, NeuroLocale combines open-s
 ## 🔧 How to Use
 
 ```python
-from transformers import pipeline  # 🤗 Import the Hugging Face Transformers pipeline tool
+from transformers import pipeline  # 🤗 Import Hugging Face pipeline
 
-# 🚀 Load your fine-tuned intent classification model
+# 🚀 Load the fine-tuned intent classification model
 classifier = pipeline("text-classification", model="boltuix/NeuroLocale")
 
 # 🧠 Predict the user's intent from a sample input sentence
-result = classifier("i want to play game")  # 🎮 Should ideally classify as something like "game" or related intent
+result = classifier("Where can I see ocean creatures behind glass?")  # 🐠 Expecting Aquarium
 
 # 📊 Print the classification result with label and confidence score
-print(result)  # 🖨️ Example Output: [{'label': 'game', 'score': 0.9999}]
+print(result)  # 🖨️ Example output: [{'label': 'aquarium', 'score': 0.999}]
 ```
 
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