update layout

app.py

@@ -52,7 +52,7 @@ demo = gr.Blocks()
 with demo:
   gr.Markdown("<h1><center>Zero Shot SQL by Bloom</center></h1>")
   gr.Markdown(
-        """[BigScienceW Bloom](https://twitter.com/BigscienceW) \n\n Large language models have demonstrated a capability of Zero-Shot SQL generation. Some might say — You can get good results out of LLMs if you know how to speak to them. This space is an attempt at inspecting this behavior/capability in the new HuggingFace BigScienceW [Bloom](https://huggingface.co/bigscience/bloom) model. \n\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma) for EuroPython 2022 Demo.\nThe Prompt length is limited at the API end right now, thus there is a certain limitation in testing Bloom's capability thoroughly.\n\nThis Space might sometime fail due to inference queue being full and logs would end up showing error as *queue full, try again later*, in such cases please try again after few minutes. Please note that, for the same prompt sometimes the Space runs just fine, while the other times it runs into error showing Response code [500] or *A very long prompt, temporarily not accepting these* message in the logs.\nStill iterating over the app, might be able to improve it further soon.."""
+        """[BigScienceW Bloom](https://twitter.com/BigscienceW) \n\n Large language models have demonstrated a capability of Zero-Shot SQL generation. Some might say — You can get good results out of LLMs if you know how to speak to them. This space is an attempt at inspecting this behavior/capability in the new HuggingFace BigScienceW [Bloom](https://huggingface.co/bigscience/bloom) model. \n\nThis Space is created by [Yuvraj Sharma](https://twitter.com/yvrjsharma) for EuroPython 2022 Demo.\nThe Prompt length is limited at the API end right now, thus there is a certain limitation in testing Bloom's capability thoroughly.\nThis Space might sometime fail due to inference queue being full and logs would end up showing error as *'queue full, try again later'*, in such cases please try again after few minutes. Please note that, longer prompts might not work as well and the Space could error out with Response code [500] or *'A very long prompt, temporarily not accepting these'* message in the logs.\nStill iterating over the app, might be able to improve it further soon.."""
         )
   with gr.Row():
   
@@ -65,14 +65,14 @@ with demo:
     "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: Select names of all theemployees who have third character in their name as 't'.\nPostgreSQL query: ",
     "Instruction: Given an input question, respond with syntactically correct PostgreSQL. Only use table called 'employees'.\nInput: Select names of all the employees who are working under 'Peter'\nPostgreSQL query: ",  ], label= "Choose a sample Prompt")
   
-  
-    input_prompt_sql = gr.Textbox(label="Or Write text following the example pattern given below, to get SQL commands...", value="Only use table called 'department'.\nInput: Select names of all the departments in descending alphabetical order of department names.\nPostgreSQL query: ", lines=5)
+    with gr.Column:  
+      input_prompt_sql = gr.Textbox(label="Or Write text following the example pattern given below, to get SQL commands...", value="Only use table called 'department'.\nInput: Select names of all the departments in descending alphabetical order of department names.\nPostgreSQL query: ", lines=5)
+      b1 = gr.Button("Generate SQL")
     
   with gr.Row():
     generated_txt = gr.Textbox(lines=3)
   
-  b1 = gr.Button("Generate SQL")
-
+  
   b1.click(sql_generate,inputs=[example_prompt, input_prompt_sql], outputs=generated_txt) 
 
 demo.launch(enable_queue=True, debug=True)