import gradio as gr

def my_response(message, history, system_message, max_tokens, temperature, top_p):
    
    user_text = message.get("content", "") if isinstance(message, dict) else str(message)
    return (
        f"Welcome to Himanshu chat bot. You are in a queue; "
        f"we will reply to your question: {user_text}"
    )

chatbot = gr.ChatInterface(
    my_response,
    type="messages",
    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)"),
    ],
)

with gr.Blocks() as demo:
    with gr.Sidebar():
        gr.LoginButton()
    chatbot.render()

if __name__ == "__main__":
    demo.launch()