GUI simplify

app.py

@@ -101,7 +101,7 @@ def generate_text(
 
 def clear_chat():
     """Clear the chat interface"""
-    return "", ""
+    return "", "*Response will appear here...*"
 
 # Create custom theme
 custom_theme = gr.themes.Soft(
@@ -132,97 +132,75 @@ with gr.Blocks() as demo:
         """
     )
     
-    with gr.Row():
-        with gr.Column(scale=2):
-            # Model loading section (Removed as per request)
-            # The model is loaded automatically at startup.
+    # Main interface
+    with gr.Group():
+        gr.Markdown("### 💬 Text Generation")
+        
+        prompt_input = gr.Textbox(
+            label="Enter your prompt",
+            placeholder="Type your message here...",
+            lines=4,
+            autofocus=True
+        )
+        
+        with gr.Row():
+            generate_btn = gr.Button(
+                "🚀 Generate",
+                variant="primary",
+                size="lg"
+            )
+            clear_btn = gr.Button(
+                "🗑️ Clear",
+                variant="secondary"
+            )
+        
+        output_text = gr.Markdown(
+            label="Generated Response",
+            value="*Response will appear here...*"
+        )
 
-            with gr.Group():
-                # Generation parameters
-                gr.Markdown("### ⚙️ Generation Parameters")
-                
-                with gr.Row():
-                    max_length = gr.Slider(
-                        minimum=50,
-                        maximum=1024,
-                        value=200,
-                        step=50,
-                        label="Max Tokens"
-                    )
-                    temperature = gr.Slider(
-                        minimum=0.1,
-                        maximum=2.0,
-                        value=0.7,
-                        step=0.1,
-                        label="Temperature"
-                    )
-                
-                with gr.Row():
-                    top_p = gr.Slider(
-                        minimum=0.1,
-                        maximum=1.0,
-                        value=0.95,
-                        step=0.05,
-                        label="Top-p"
-                    )
-                    repetition_penalty = gr.Slider(
-                        minimum=1.0,
-                        maximum=2.0,
-                        value=1.1,
-                        step=0.1,
-                        label="Repetition Penalty"
-                    )
-                
-                system_prompt = gr.Textbox(
-                    label="System Prompt",
-                    value="You are a helpful AI assistant. Provide clear and concise answers.",
-                    lines=3,
-                    placeholder="Enter a system prompt to guide the model's behavior..."
-                )
+    # Settings
+    with gr.Accordion("⚙️ Settings", open=False):
+        # Generation parameters
+        gr.Markdown("### ⚙️ Generation Parameters")
         
-        with gr.Column(scale=3):
-            # Main interface
-            with gr.Group():
-                gr.Markdown("### 💬 Text Generation")
-                
-                prompt_input = gr.Textbox(
-                    label="Enter your prompt",
-                    placeholder="Type your message here...",
-                    lines=4,
-                    autofocus=True
-                )
-                
-                with gr.Row():
-                    generate_btn = gr.Button(
-                        "🚀 Generate",
-                        variant="primary",
-                        size="lg"
-                    )
-                    clear_btn = gr.Button(
-                        "🗑️ Clear",
-                        variant="secondary"
-                    )
-                
-                output_text = gr.Markdown(
-                    label="Generated Response",
-                    value="*Response will appear here...*"
-                )
-    
-    # Example prompts
-    with gr.Accordion("📝 Example Prompts", open=False):
-        gr.Examples(
-            examples=[
-                ["Write a short story about a robot discovering music."],
-                ["Explain quantum computing in simple terms."],
-                ["Create a poem about the changing seasons."],
-                ["What are the benefits of renewable energy?"],
-                ["Write a Python function to calculate fibonacci numbers."],
-                ["Describe the perfect day in your own words."],
-                ["Explain the concept of machine learning to a beginner."],
-                ["Create a dialogue between two friends planning a trip."]
-            ],
-            inputs=[prompt_input],
-            label="Click an example to get started"
+        with gr.Row():
+            max_length = gr.Slider(
+                minimum=50,
+                maximum=1024,
+                value=200,
+                step=50,
+                label="Max Tokens"
+            )
+            temperature = gr.Slider(
+                minimum=0.1,
+                maximum=2.0,
+                value=0.7,
+                step=0.1,
+                label="Temperature"
+            )
+        
+        with gr.Row():
+            top_p = gr.Slider(
+                minimum=0.1,
+                maximum=1.0,
+                value=0.95,
+                step=0.05,
+                label="Top-p"
+            )
+            repetition_penalty = gr.Slider(
+                minimum=1.0,
+                maximum=2.0,
+                value=1.1,
+                step=0.1,
+                label="Repetition Penalty"
+            )
+        
+        system_prompt = gr.Textbox(
+            label="System Prompt",
+            value="You are a helpful AI assistant. Provide clear and concise answers.",
+            lines=3,
+            placeholder="Enter a system prompt to guide the model's behavior..."
         )
     
     # Event handlers
@@ -244,7 +222,7 @@ with gr.Blocks() as demo:
     
     clear_btn.click(
         fn=clear_chat,
-        outputs=[prompt_input],
+        outputs=[prompt_input, output_text],
         api_visibility="private"
     )