Update app.py

app.py

@@ -63,36 +63,35 @@ with gr.Blocks(css=css) as demo:
     gr.Markdown("<h1 style='text-align: center;'>Health Assistant GPT</h1>")
     gr.Markdown("<h3 style='text-align: center;'>What do you want to know about health and wellness?</h3>")
 
-    # Create layout with two columns
-    with gr.Row():
-        # Sidebar content
-        with gr.Column(scale=3):
-            gr.Markdown("### Settings")
-            system_message = gr.Textbox(
-                value="You are a virtual health assistant designed to provide accurate and reliable information related to health, wellness, and medical topics. Your primary goal is to assist users with their health-related queries, offer general guidance, and suggest when to consult a licensed medical professional. If a user asks a question that is unrelated to health, wellness, or medical topics, respond politely but firmly.",
-                label="System message",
-                visible=False
-            )
-            max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens", visible=False)
-            temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature", visible=False)
-            top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)", visible=False)
+    # Sidebar
+    with gr.Sidebar():
+        gr.Markdown("### Settings")
+        system_message = gr.Textbox(
+            value="You are a virtual health assistant designed to provide accurate and reliable information related to health, wellness, and medical topics. Your primary goal is to assist users with their health-related queries, offer general guidance, and suggest when to consult a licensed medical professional. If a user asks a question that is unrelated to health, wellness, or medical topics, respond politely but firmly.",
+            label="System message",
+            visible=False
+        )
+        max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens", visible=False)
+        temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature", visible=False)
+        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)", visible=False)
 
-        # Main content (question input and response display)
+    # Main content
+    with gr.Row():
         with gr.Column(scale=7):
             gr.Markdown("### Ask a health-related question:")
             search_input = gr.Textbox(label="Search Input", placeholder="Type your health-related question here...", lines=1)
             submit_button = gr.Button("Generate Response")
             output = gr.Markdown()
 
-            # File upload area
+        with gr.Column(scale=3):
             gr.Markdown("### Upload a relevant file (Optional):")
             uploaded_file = gr.File(label="Upload PDF")
 
-            # Button click action to trigger response generation
-            submit_button.click(
-                fn=respond,
-                inputs=[search_input, [], system_message, max_tokens, temperature, top_p],  # Empty history for fresh chat
-                outputs=output
-            )
+    # Button click action to trigger response generation
+    submit_button.click(
+        fn=respond,
+        inputs=[search_input, [], system_message, max_tokens, temperature, top_p],  # Empty history for fresh chat
+        outputs=output
+    )
 
 demo.launch()