update layout

app.py

@@ -64,17 +64,19 @@ with gr.Blocks() as demo:
     
     with gr.Row():
         in_images =  gr.File(label="Upload images to fine-tune for LORA", file_count="multiple")
-        with gr.Accordion("Advance settings"):
-            gr.Markdown("Advance settings for a number of Training Steps and Alpha. Set alpha to 1.0 to fully add LORA. If the LORA seems to have too much effect (i.e., overfitting), set alpha to a lower value. If the LORA seems to have too little effect, set the alpha higher. You can tune these two values to your needs.")
-            in_steps = gr.Number(label="Enter the number of training steps", value = 4000)
-            in_alpha = gr.Slider(0.1,1.0, step=0.01, label="Set Alpha level", value=0.5)
+        with gr.Column():
+            b1 = gr.Button(value="Train LORA model")
+            with gr.Accordion("Advance settings"):
+                gr.Markdown("Advance settings for a number of Training Steps and Alpha. Set alpha to 1.0 to fully add LORA. If the LORA seems to have too much effect (i.e., overfitting), set alpha to a lower value. If the LORA seems to have too little effect, set the alpha higher. You can tune these two values to your needs.")
+                in_steps = gr.Number(label="Enter the number of training steps", value = 4000)
+                in_alpha = gr.Slider(0.1,1.0, step=0.01, label="Set Alpha level", value=0.5)
     with gr.Row():
-        b1 = gr.Button(value="Train LORA model")
-        b2 = gr.Button(value="Inference using LORA model")
-    with gr.Row():
-        in_prompt = gr.Textbox(label="Enter a prompt for fine-tuned LORA model", visible=True)
+        with gr.Column():
+            in_prompt = gr.Textbox(label="Enter a prompt for fine-tuned LORA model", visible=True)
+            b2 = gr.Button(value="Inference using LORA model")
         out_image = gr.Image(label="Image generated by LORA model")
         out_file = gr.File(label="Lora trained model weights", )
+        
     b1.click(fn = accelerate_train_lora, inputs=in_steps, outputs=out_file)
     b2.click(fn = monkeypatching, inputs=[in_alpha, in_prompt], outputs=out_image)