Update app.py

app.py

@@ -86,18 +86,18 @@ def home():
                 X = si_vectorizer.transform([text])
                 pred = si_classifier.predict(X)[0]
                 emotion = si_label_encoder.inverse_transform([pred])[0]
-                sinhala_result = f"හැඟීම: {emotion}"
+                sinhala_result = f"Emotion: {emotion}"
             else:
-                sinhala_result = "කරුණාකර යමක් ලියන්න"
+                sinhala_result = "Please write something"
 
         # Tamil – still transformers / pipeline
         elif action == "predict_tamil":
             text = request.form.get("tamil_text", "").strip()
             if text:
                 res = tamil_pipe(text)[0]
-                tamil_result = f"உணர்வு: {res['label']} ({res['score']:.3f})"
+                tamil_result = f"Emotion: {res['label']} ({res['score']:.3f})"
             else:
-                tamil_result = "கருணையுடன் உரையை உள்ளிடவும்"
+                tamil_result = "Please write something"
 
     return render_template(
         "index.html",