Change layout

app.py

@@ -67,7 +67,7 @@ unique_country = sorted(X_train["native.country"].unique())
 
 with gr.Blocks() as demo:
     gr.Markdown("""
-    # Income Classification with XGBoost 💰
+    ## Income Classification with XGBoost 💰
     
     This example shows how to load data from the hugging face hub to train an XGBoost classifier and
     demo the predictions with gradio.
@@ -104,6 +104,7 @@ with gr.Blocks() as demo:
                 choices=unique_occupation,
                 value=lambda: random.choice(unique_occupation),
             )
+        with gr.Column():
             relationship = gr.Dropdown(
                 label="Relationship Status",
                 choices=unique_relationship,