Update app.py

app.py

@@ -12,9 +12,6 @@ def respond(
     message,
     history: list[tuple[str, str]],
     system_message,
-    max_tokens,
-    temperature,
-    top_p,
 ):
     messages = [{"role": "system", "content": system_message}]
 
@@ -32,10 +29,10 @@ def respond(
     if model_name == "Llama":
         for message in client.chat_completion(
             messages,
-            max_tokens=max_tokens,
+            max_tokens=512,  # Set a default value for max_tokens
             stream=True,
-            temperature=temperature,
-            top_p=top_p,
+            temperature=0.7,  # Set a default value for temperature
+            top_p=0.95,  # Set a default value for top_p
         ):
             token = message.choices[0].delta.content
             response += token
@@ -71,8 +68,8 @@ body {
 """
 
 # Define the Gradio interface with buttons and model selection
-def gradio_interface(model_name, message, history, system_message, max_tokens, temperature, top_p):
-    return respond(model_name, message, history, system_message, max_tokens, temperature, top_p)
+def gradio_interface(model_name, message, history, system_message):
+    return respond(model_name, message, history, system_message)
 
 
 demo = gr.Interface(
@@ -80,15 +77,6 @@ demo = gr.Interface(
     inputs=[
         gr.Textbox(value="Hello!", label="User Message"),
         gr.Textbox(value="You are a virtual health assistant. Your primary goal is to assist with health-related queries.", label="System Message", visible=False),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)"
-        ),
         gr.Button("Chatgpt"),
         gr.Button("Llama"),
         gr.Button("Claude"),