Update app.py

app.py

@@ -12,9 +12,8 @@ sentiment_model = "MatteoFasulo/mdeberta-v3-base-subjectivity-sentiment-multilin
 
 # Define some examples for the Gradio interface (cached to run on-the-fly)
 examples = [
-    ['Example1'],
-    ['Example2'],
-    ['Example3'],
+    ["But then Trump came to power and sidelined the defense hawks, ushering in a dramatic shift in Republican sentiment toward America's allies and adversaries."],
+    ["Boxing Day ambush & flagship attack Putin has long tried to downplay the true losses his army has faced in the Black Sea."],
 ]
 
 # Custom model class for combining sentiment analysis with subjectivity detection
@@ -133,17 +132,14 @@ def analyze(text):
     return table_data
 
 # Update the Gradio interface
-with gr.Blocks(theme=gr.themes.Soft(), css="""
-#result_table td { padding: 8px; font-size: 1rem; }
-#header { text-align: center; font-size: 2rem; font-weight: bold; margin-bottom: 10px; }
-""") as demo:
-    gr.Markdown("<div id='header'>🚀 Advanced Subjectivity & Sentiment Dashboard 🚀</div>")
+with gr.Blocks(theme=gr.themes.Base()) as demo:
+    gr.Markdown("🚀 Advanced Subjectivity & Sentiment Dashboard 🚀")
     with gr.Row():
         txt = gr.Textbox(label="Enter text to analyze", placeholder="Paste news sentence here...", lines=2)
         btn = gr.Button("Analyze 🔍", variant="primary")
     with gr.Tabs():
         with gr.TabItem("Raw Scores 📋"):
-            table = gr.Dataframe(headers=["Metric", "Value"], datatype=["str","str"], interactive=False, elem_id="result_table")
+            table = gr.Dataframe(headers=["Metric", "Value"], datatype=["str","str"], interactive=False)
         with gr.TabItem("About ℹ️"):
             gr.Markdown("This dashboard uses two DeBERTa-based models (with and without sentiment integration) to detect subjectivity, alongside sentiment scores from an XLM-RoBERTa model.")
     with gr.Row():
@@ -154,10 +150,9 @@ with gr.Blocks(theme=gr.themes.Soft(), css="""
             outputs=[table],
             fn=analyze,
             label="Examples",
-            elem_id="example_list",
             cache_examples=True,
         )
     # Link inputs to outputs
     btn.click(fn=analyze, inputs=txt, outputs=[table])
 
-demo.queue().launch(server_name="0.0.0.0", share=True)
+demo.queue().launch()