add header, subheader and examples

app.py

@@ -1,7 +1,24 @@
 from transformers import pipeline
 import gradio as gr
 
+# Load sentiment analysis pipeline with model
 pipe = pipeline("text-classification", model="arifagustyawan/sentiment-roberta-id")
 
-demo = gr.Interface.from_pipeline(pipe)
-demo.launch()
+# Define the header, subheader, and example texts
+header = "Sentiment Analysis"
+subheader = "Evaluate the sentiment of Indonesian text using the RoBERTa model and IndoNLU dataset"
+
+example_texts = [
+    "Film ini sangat menyenangkan. Aktingnya luar biasa, dan alur ceritanya membuat saya terlibat sepanjang film.",
+    "Cuaca hari ini sangat buruk. Hujan terus-menerus membuat suasana hati saya merasa lesu.",
+    "Saya merasa campur aduk setelah menonton pertandingan tadi malam. Tim favorit saya kalah tetapi memberikan pertunjukan yang luar biasa."
+]
+
+# Create Gradio interface with header, subheader, and example texts
+demo = gr.Interface.from_pipeline(pipe, 
+                                  title=header, 
+                                  description=subheader,
+                                  examples=[[text] for text in example_texts])
+
+# Launch the Gradio interface
+demo.launch()