Update app.py

app.py

@@ -46,36 +46,28 @@ def run_pipeline(text):
 
 
 with gr.Blocks() as demo:
-    gr.Markdown(markdownn)
-    
-    with gr.Row():
-        text = gr.Text(label="Text")
-       
     with gr.Row():
         with gr.Column():
-            dense_duration = gr.Number(label="Dense Latency (ms):")
-            dense_answers = gr.Textbox(label="Dense model answer")
+            gr.Markdown(markdownn)
             
         with gr.Column():
-            sparse_duration = gr.Number(label="Sparse Latency (ms):")
+             gr.Markdown("""
+            ### Text classification demo
+            """)
+            text = gr.Text(label="Text")
+            btn = gr.Button("Submit")
+            dense_answers = gr.Textbox(label="Dense model answer")
+            dense_duration = gr.Number(label="Dense Latency (ms):")
+            
             sparse_answers = gr.Textbox(label="Sparse model answers")
-
-    btn = gr.Button("Submit")
+            sparse_duration = gr.Number(label="Sparse Latency (ms):")
+            gr.Examples([["Who are you voting for in 2020?"],["Public health is very important"]],inputs=[text],)
+    
     btn.click(
         run_pipeline,
         inputs=[text],
         outputs=[sparse_answers,sparse_duration,dense_answers,dense_duration],
     )
 
-   
-    gr.Examples(
-        [
-            ["Who are you voting for in 2020?"],
-            ["Public health is very important"]
-        ],
-        inputs=[text],
-    )
-
-
 if __name__ == "__main__":
     demo.launch()