checking

app.py

@@ -78,7 +78,6 @@ def diagnose(key, model, top_k, temperature, symptom_prompt):
 
 
 with gr.Blocks() as ui:
-    message = "Hello, Welcome to the GUI by Team #9."
 
     with gr.Row(equal_height=500):
         with gr.Column(scale=1, min_width=300):
@@ -89,18 +88,16 @@ with gr.Blocks() as ui:
             gr.Button(value="OpenAi Key", link="https://platform.openai.com/account/api-keys")
             gr.Button(value="Meta Llama Key", link="https://platform.openai.com/account/api-keys")
             gr.Button(value="Gemini Key", link="https://platform.openai.com/account/api-keys")
-            gr.ClearButton(key, message, variant="primary")
+            gr.ClearButton(key, variant="primary")
             
         with gr.Column(scale=2, min_width=600):
-            message = gr.Textbox(label="", value=message, interactive=False, visible=True)
-            output = gr.Textbox(label="Model output status", value="Model hasn't run yet.")
+            gr.Markdown("### Hello, Welcome to the GUI by Team #9.")
             temperature = gr.Slider(0.0, 1.0, value=0.7, step = 0.01, label="Temperature", info="Set the Temperature")
             top_k = gr.Slider(1, 10, value=3, step = 1, label="top-k value", info="Set the 'k' for top-k LLM responses")
             symptoms = gr.Textbox(label="Add the symptom data in the input to receive diagnosis")
             llm_btn = gr.Button(value="Diagnose Disease", variant="primary", elem_id="diagnose")
+            output = gr.Textbox(label="LLM Output Status", interactive=False, placeholder="Output will appear here...")
             llm_btn.click(fn=diagnose, inputs=[key, model, top_k, temperature, symptoms], outputs=output, api_name="auditor")
-            output = gr.Textbox(label="LLM output status", value=output.value)
-
 
 
 ui.launch(share=True)