Refining UI

app.py

@@ -51,7 +51,7 @@ def generate_text_chatgpt(key, prompt, temperature, top_p):
     openai.api_key = key
 
     response = openai.chat.completions.create(
-      model="gpt-4-0613",
+      model="gpt-3.5-turbo-1106",
       messages=[{"role": "system", "content": "You are a talented diagnostician who is diagnosing a patient."},
                 {"role": "user", "content": prompt}],
       temperature=temperature,
@@ -148,14 +148,11 @@ with gr.Blocks() as ui:
             model = gr.Radio(label="LLM Selection", value="GPT-3.5-Turbo",  
                              choices=["GPT-3.5-Turbo", "Llama-3", "Gemini-1.5"])
             is_valid = False
-            key = gr.Textbox(label="Please input the API key for your GPT model", type="password")
+            key = gr.Textbox(label="Please input the API key for your Large Language model", type="password")
             status_message = gr.HTML(label="Validation Status")
             key.input(fn=api_check_msg, inputs=[key, model], outputs=status_message)
             button = gr.Button(value="Don't have an API key? Get one for the GPT model here.", link="https://platform.openai.com/account/api-keys")
             model.change(update_model_components, inputs=model, outputs=[key, button])
-            # 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, variant="primary")
             
         with gr.Column(scale=2, min_width=600):
@@ -168,7 +165,7 @@ with gr.Blocks() as ui:
             key.input(toggle_button, inputs=[symptoms, key, model], outputs=llm_btn)
             model.change(toggle_button, inputs=[symptoms, key, model], outputs=llm_btn)
             output = gr.Textbox(label="LLM Output Status", interactive=False, placeholder="Output will appear here...")
-            llm_btn.click(fn=diagnose, inputs=[key, model, top_p, temperature, symptoms], outputs=output, api_name="auditor")
+            llm_btn.click(fn=diagnose, inputs=[key, model, top_p, temperature, symptoms], outputs=output, api_name="LLM_Comparator")
 
 
 ui.launch(share=True)