Update app.py

app.py

@@ -50,29 +50,29 @@ with gr.Blocks(css="""
 
     with gr.Row():
         with gr.Column():
-            gr.Markdown("<h3>🎂 Age</h3>")
+            gr.Markdown("<h3>Age</h3>")
             age = gr.Slider(minimum=0, maximum=100, step=1, value=35, label="", interactive=True)
 
-            gr.Markdown("<h3>🎓 Education Level</h3>")
+            gr.Markdown("<h3>Education Level</h3>")
             education = gr.Dropdown(choices=[str(i) for i in range(1, 17)], value="10", label="", interactive=True)
 
-            gr.Markdown("<h3>⚧️ Sex</h3>")
+            gr.Markdown("<h3>Sex</h3>")
             sex = gr.Radio(choices=["Male", "Female"], value="Male", label="", interactive=True)
 
-            gr.Markdown("<h3>📈 Capital Gain</h3>")
+            gr.Markdown("<h3>Capital Gain</h3>")
             capital_gain = gr.Number(value=0, label="", interactive=True)
 
-            gr.Markdown("<h3>📉 Capital Loss</h3>")
+            gr.Markdown("<h3>Capital Loss</h3>")
             capital_loss = gr.Number(value=0, label="", interactive=True)
 
-            gr.Markdown("<h3>⏱️ Hours per Week</h3>")
+            gr.Markdown("<h3>Hours per Week</h3>")
             hours_per_week = gr.Number(value=40, label="", interactive=True)
 
             predict_btn = gr.Button("🔮 Predict", elem_id="predict-button")
 
     with gr.Row():
         with gr.Column():
-            gr.Markdown("<h3>📊 Prediction Result</h3>")
+            gr.Markdown("<h3>Prediction Result</h3>")
             result = gr.Textbox(label="", interactive=False)
             confidence = gr.Textbox(label="Confidence", interactive=False)
             shap_plot = gr.Plot(label="SHAP Feature Importance")