fix gradio

app.py

@@ -14,7 +14,7 @@ model = AutoModelForCausalLM.from_pretrained(model_path, torch_dtype=dtype, devi
 
 # Define the prompt format  
 def create_prompt(instruction):  
-    PROMPT = '''You are TronTonic an AI created by Tonic-AI. Below is an instruction that describes a task.\n\nWrite a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:'''  
+    PROMPT = '''Below is an instruction that describes a task.\n\nWrite a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:'''  
     return PROMPT.format(instruction=instruction)  
   
 def respond(message, history, system_message, max_tokens, temperature, top_p):  
@@ -32,7 +32,8 @@ demo = gr.ChatInterface(
     title=gr.Markdown(title),
     # gr.markdown(description),
     fn=respond,  
-    additional_inputs=[  
+    additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),   
         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)")