Update README.md

README.md

@@ -69,7 +69,7 @@ The model captures **code-switching**, **local idioms**, **indirect expressions*
 
 
 ## Task
-```
+```python
 def classify_text(text):
     """
     Run inference on a single text input using the fine‑tuned LusakaLang model.
@@ -79,18 +79,25 @@ def classify_text(text):
     label = result["label"]
     score = round(result["score"], 4)
     return label, score
-
-
 samples = [
     "Muli shani bane, nalishiba bwino.",
     "How are you doing today?",
     "Tili bwino, zikomo kwambiri."
 ]
-
 for s in samples:
     label, score = classify_text(s)
     print(f"Text: {s}\nPrediction: {label} (confidence={score})\n")
+```
+Sample Output
+```python
+Text: Muli shani bane, nalishiba bwino.
+Prediction: Bemba (confidence=0.9821)
 
+Text: How are you doing today?
+Prediction: English (confidence=0.9954)
+
+Text: Tili bwino, zikomo kwambiri.
+Prediction: Nyanja (confidence=0.9736)
 ```
 ---
 
@@ -102,15 +109,11 @@ for s in samples:
 ![image](https://cdn-uploads.huggingface.co/production/uploads/674ed988f86d2ca07fa23abe/aJVi9d-xRUuu-8IEwybLW.png)
 
 
-
-
 ![image](https://cdn-uploads.huggingface.co/production/uploads/674ed988f86d2ca07fa23abe/v5eLxfxuKDJ7Sd8uX2P9s.png)
 
 
-
 ![image](https://cdn-uploads.huggingface.co/production/uploads/674ed988f86d2ca07fa23abe/mxnDjRmAX-XLHzMfcWnfr.png)
 
 
-
 ![image](https://cdn-uploads.huggingface.co/production/uploads/674ed988f86d2ca07fa23abe/J-atqadjfCh7xUKRSRSnL.png)