Refining UI

app.py

@@ -52,7 +52,7 @@ def generate_text_chatgpt(key, prompt, temperature, top_p):
 
     response = openai.chat.completions.create(
       model="gpt-3.5-turbo-1106",
-      messages=[{"role": "system", "content": "You are a talented diagnostician who is diagnosing a patient."},
+      messages=[{"role": "system", "content": "You are a talented diagnostician who is diagnosing a patient based on the symptoms they provided."},
                 {"role": "user", "content": prompt}],
       temperature=temperature,
       max_tokens=50,
@@ -109,7 +109,7 @@ def diagnose(gpt_key, llama_key, gemini_key, top_p, temperature, symptoms):
         majority_output, majority_count = output_counts.most_common(1)[0]
         confidence = (majority_count / len(outputs)) * 100
     else:
-        majority_output = "Please add the symptoms data to start the ranking process"
+        majority_output = "Please add the symptoms data to start the ranking process."
         confidence = 0
     
     return majority_output, confidence
@@ -152,14 +152,14 @@ with gr.Blocks() as ui:
             llama_key.input(fn=api_check_msg, inputs=[llama_key, gr.Textbox(value="Llama", visible=False)], outputs=status_message)
             status_message = gr.HTML(label="Validation Status")
             gemini_key.input(fn=api_check_msg, inputs=[gemini_key, gr.Textbox(value="Gemini", visible=False)], outputs=status_message)
-            gr.Button(value="Don't have an LLM key? Get one through the below links.")
+            gr.Textbox(label="Don't have an LLM key? Get one through the below links.", type="text")
             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(gpt_key, llama_key, gemini_key, variant="primary")
             
         with gr.Column(scale=2, min_width=600):
-            gr.Markdown("### Hello, Welcome to the GUI by Team #9.")
+            gr.Markdown("### Hello, Welcome to the GUI by Team #9. This is the ranking API.")
             temperature = gr.Slider(0.0, 1.0, value=0.7, step = 0.01, label="Temperature", info="Set the Temperature")
             top_p = gr.Slider(1, 10, value=3, step = 1, label="top-p value", info="Set the sampling nucleus parameter")
             symptoms = gr.Textbox(label="Add the symptom data in the input to receive diagnosis")