Update app.py

app.py

@@ -16,26 +16,14 @@ def predict_sentiment(text):
     result = {sentiments[i]: float(predictions[0][i]) for i in range(len(sentiments))}
     return result
 
-def custom_theme():
-    """Define a custom theme for the Gradio app."""
-    return gr.Theme(
-        # Define your color scheme
-        primary='#FF6347',   
-        text_on_primary='#FFFFFF',  
-        background='#F0F8FF', 
-        card_background='#FAEBD7', 
-        text='#2F4F4F', 
-        icon='light', 
-    )
-
 # Create Gradio interface
 iface = gr.Interface(fn=predict_sentiment,
                      inputs=gr.Textbox(lines=2, placeholder="Type your sentence here..."),
                      outputs=gr.Label(),
-                     theme=custom_theme(),
                      title="Sentiment Analysis",
                      description="Analyze the sentiment of your text. Powered by CardiffNLP's RoBERTa model.",
-                     article="<p style='text-align: center'>Enter a sentence to get its sentiment. The model categorizes sentiments into Negative, Neutral, and Positive.</p>")
+                     article="<p style='text-align: center'>Enter a sentence to get its sentiment. The model categorizes sentiments into Negative, Neutral, and Positive.</p>",
+                     theme="huggingface")  # Using a built-in theme
 
 if __name__ == "__main__":
     iface.launch()