Update app.py

app.py

@@ -154,7 +154,6 @@ footer{display:none !important}
 with gr.Blocks(theme=theme, css=css) as app:
     # Add a title to the app
     gr.HTML("<center><h1>🎨 Stable Diffusion 3.5 large turbo 🇬🇧</h1></center>")
-    
     with gr.Tabs() as tabs:
         with gr.TabItem("Text to Image"):
             # Container for all the UI elements
@@ -200,18 +199,19 @@ with gr.Blocks(theme=theme, css=css) as app:
                     
                 # Bind the button to the query function with the added width and height inputs
                 text_button.click(query, inputs=[text_prompt, negative_prompt, steps, cfg, method, seed, strength, width, height], outputs=image_output)
+
+    with gr.Tabs() as tabs:
+        with gr.TabItem(label="Image To Prompt"):
+            with gr.Row():
+                with gr.Column():
+                    input_img = gr.Image(label="Input Picture",height=320,type="filepath")
+                    submit_btn = gr.Button(value="Submit", variant='primary')
+                with gr.Column():
+                    output_text = gr.Textbox(label="Flux Prompt", show_copy_button = True)
+                    clr_button =gr.Button("Clear",variant="primary", elem_id="clear_button")
+                    clr_button.click(lambda: gr.Textbox(value=""), None, output_text)
     
-    with gr.Tab(label="Image To Prompt"):
-        with gr.Row():
-            with gr.Column():
-                input_img = gr.Image(label="Input Picture",height=320,type="filepath")
-                submit_btn = gr.Button(value="Submit", variant='primary')
-            with gr.Column():
-                output_text = gr.Textbox(label="Flux Prompt", show_copy_button = True)
-                clr_button =gr.Button("Clear",variant="primary", elem_id="clear_button")
-                clr_button.click(lambda: gr.Textbox(value=""), None, output_text)
-
-        submit_btn.click(feifeichat, [input_img], [output_text])
+            submit_btn.click(feifeichat, [input_img], [output_text])
         
 
 app.queue(default_concurrency_limit=200, max_size=200)  # <-- Sets up a queue with default parameters