Update app.py

app.py

@@ -48,14 +48,12 @@ iface = gr.Interface(
     outputs=gr.Textbox(lines=2, label="Output"),
     title="Multilingual Sentence Classifier⚡",
     description = (
-        "This model was trained using a curated Bangla dataset by **TextLab RUET**. "
-        "It can classify sentences in various languages into five distinct categories: Assertive, Interrogative, Imperative, Optative, and Exclamatory. \n\n"
-        "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"
-        "**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.\n\n\n"
-        "**Enter a sentence in any language below to see how our model interprets it!** 🤖"
+        "This model, trained on a curated Bangla dataset by **TextLab RUET**, classifies sentences into five categories: Assertive, Interrogative, Imperative, Optative, and Exclamatory. \n\n"
+        "Although it was fine-tuned on Bangla sentences, the model **XLM-R** (a multilingual transformer model based on the BERT architecture) leverages transfer learning from 100+ languages, enabling it to classify sentences in languages like Bangla, English, Spanish, French, German, Chinese, Arabic, and more.\n\n"
+        "**Note**: While we aim for accuracy, the model may occasionally misclassify sentences due to dataset limitations. We appreciate your understanding.\n\n"
+        "**Enter a sentence below to see how our model interprets it!** 🤖"
     ),
+
     theme="compact",
 )