Update app.py

app.py

@@ -45,12 +45,15 @@ iface = gr.Interface(
     fn=predict_bangla_sentence,
     inputs=gr.Textbox(lines=2, placeholder="Enter a Bangla sentence..."),
     outputs="text",
-    title="Bangla Sentence Classifier",
+    title="Multilingual Sentence Classifier",
     description = (
         "This model was trained using a curated Bangla dataset by **TextLab RUET**. "
-        "It classifies Bangla sentences into five distinct categories: Assertive, Interrogative, Imperative, Optative, and Exclamatory "
-        "using the **XLM-R** (a multilingual transformer model based on the BERT architecture).\n\n"
-        "Enter a Bangla sentence below to see how our model interprets it!\n\n"
+        "It can classify sentences in various languages into five distinct categories: Assertive, Interrogative, Imperative, Optative, and Exclamatory. "
+        "Although it was fine-tuned on Bangla sentences, the model **XLM-R** (a multilingual transformer model based on the BERT architecture) uses **transfer learning** "
+        "to apply its knowledge from over 100 languages, enabling it to classify sentences in a wide variety of languages, including Bangla, English, Spanish, French, German, and more.\n\n"
+    
+        "**Enter a sentence in any language below to see how our model interprets it!**\n\n"
+    
         "**Note**: While we strive for accuracy, the model may occasionally misclassify sentences due to dataset limitations. "
         "We apologize for any errors and appreciate your understanding."
     ),