Update app.py

app.py

@@ -116,8 +116,9 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
     2. Choose a model
     3. Start chatting!
 
-    ## 🔧 Advanced:
-    - Adjust parameters in the "Advanced Settings" section
+    ## 🔧 Settings:
+    - Adjust basic parameters in the "Common Settings" section
+    - Fine-tune advanced options in the "Advanced Settings" section
     - Upload images for multimodal interactions
 
     Enjoy your AI-powered conversation!
@@ -148,41 +149,30 @@ with gr.Blocks(theme=gr.themes.Soft()) as demo:
                 value="google/gemini-flash-1.5"
             )
             
+            with gr.Accordion("Common Settings", open=False):
+                with gr.Group():
+                    temperature = gr.Slider(minimum=0, maximum=2, value=1, step=0.1, label="Temperature")
+                    max_tokens = gr.Slider(minimum=1, maximum=4096, value=1000, step=1, label="Max Tokens")
+                    top_p = gr.Slider(minimum=0, maximum=1, value=1, step=0.01, label="Top P")
+                    frequency_penalty = gr.Slider(minimum=-2, maximum=2, value=0, step=0.1, label="Frequency Penalty")
+            
             with gr.Accordion("Advanced Settings", open=False):
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Basic Parameters")
-                        temperature = gr.Slider(minimum=0, maximum=2, value=1, step=0.1, label="Temperature")
-                        max_tokens = gr.Slider(minimum=1, maximum=4096, value=1000, step=1, label="Max Tokens")
-                        top_p = gr.Slider(minimum=0, maximum=1, value=1, step=0.01, label="Top P")
-                        top_k = gr.Slider(minimum=0, maximum=100, value=0, step=1, label="Top K")
-                    
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Penalty Parameters")
-                        frequency_penalty = gr.Slider(minimum=-2, maximum=2, value=0, step=0.1, label="Frequency Penalty")
-                        presence_penalty = gr.Slider(minimum=-2, maximum=2, value=0, step=0.1, label="Presence Penalty")
-                        repetition_penalty = gr.Slider(minimum=0, maximum=2, value=1, step=0.1, label="Repetition Penalty")
-                
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Advanced Control")
-                        stop = gr.Textbox(label="Stop Sequence")
-                        min_p = gr.Slider(minimum=0, maximum=1, value=0, step=0.01, label="Min P")
-                        top_a = gr.Slider(minimum=0, maximum=1, value=0, step=0.01, label="Top A")
-                        seed = gr.Number(label="Seed", precision=0)
-                    
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Logging and Formatting")
-                        logprobs = gr.Checkbox(label="Log Probabilities")
-                        top_logprobs = gr.Slider(minimum=0, maximum=20, value=0, step=1, label="Top Log Probabilities")
-                        logit_bias = gr.Textbox(label="Logit Bias (JSON)")
-                        response_format = gr.Textbox(label="Response Format (JSON)")
+                with gr.Group():
+                    top_k = gr.Slider(minimum=0, maximum=100, value=0, step=1, label="Top K")
+                    presence_penalty = gr.Slider(minimum=-2, maximum=2, value=0, step=0.1, label="Presence Penalty")
+                    repetition_penalty = gr.Slider(minimum=0, maximum=2, value=1, step=0.1, label="Repetition Penalty")
+                    stop = gr.Textbox(label="Stop Sequence")
                 
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Tools")
-                        tools = gr.Textbox(label="Tools (JSON Array)", lines=3)
-                        tool_choice = gr.Textbox(label="Tool Choice")
+                with gr.Group():
+                    min_p = gr.Slider(minimum=0, maximum=1, value=0, step=0.01, label="Min P")
+                    top_a = gr.Slider(minimum=0, maximum=1, value=0, step=0.01, label="Top A")
+                    seed = gr.Number(label="Seed", precision=0)
+                    logit_bias = gr.Textbox(label="Logit Bias (JSON)")
+                    logprobs = gr.Checkbox(label="Log Probabilities")
+                    top_logprobs = gr.Slider(minimum=0, maximum=20, value=0, step=1, label="Top Log Probabilities")
+                    response_format = gr.Textbox(label="Response Format (JSON)")
+                    tools = gr.Textbox(label="Tools (JSON Array)")
+                    tool_choice = gr.Textbox(label="Tool Choice")
 
         with gr.Column(scale=2):
             chatbot = gr.ChatInterface(