Update app.py

app.py

@@ -46,14 +46,14 @@ iface = gr.Interface(
     fn=predict_bangla_sentence,
     inputs=gr.Textbox(lines=2, placeholder="Enter a sentence in any language...", label="Sentence"),
     outputs=gr.Textbox(lines=2, label="Output"),
-    title="Multilingual Sentence Classifier ⚡",
+    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"
+        "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!** 🤖"
     ),
     theme="compact",