Update app.py

app.py

@@ -63,35 +63,36 @@ 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>")
 
-    # 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
+    # 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)
+
+        # Main content (question input and response display)
         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()
 
-        with gr.Column(scale=3):
+            # File upload area
             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()