Update app.py

app.py

@@ -41,24 +41,34 @@ def predict_bangla_sentence(sentence):
     return f"Predicted Class: {sentence_type}"
 
 # Create Gradio UI
+
 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"),  # Adjust lines here to match input box
-    title="Multilingual Sentence Classifier",
+    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"
-    
         "**Enter a sentence in any language below to see how our model interprets it!** 🤖"
     ),
-    theme="compact"
+    theme="compact",
+    css="""
+    .gradio-container {
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        height: 100vh;
+    }
+    .gradio-title {
+        text-align: center;
+    }
+    """
 )
 
 # Launch the Gradio app
-iface.launch(share=True)
+iface.launch(share=True)