Update app.py

app.py

@@ -44,12 +44,12 @@ def predict_bangla_sentence(sentence):
 iface = gr.Interface(
     fn=predict_bangla_sentence,
     inputs=gr.Textbox(lines=2, placeholder="Enter a sentence in any language...", label="Sentence"),
-    outputs=gr.Textbox(label="Output"),
+    outputs=gr.Textbox(lines=2, label="Output"),  # Adjust lines here to match input box
     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** "
+        "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. "