import gradio as gr

MODELS = ["Mixtral-8x7B-Instruct-v0.1"]

def generate(message, chat_history, model, system_prompt):
    """Simulates response generation."""
    response = f"Simulated response for: {message}"
    
    # Update chat history as a list of tuples
    chat_history.append((message, response))

    return chat_history, ""

DEFAULT_SYSTEM_PROMPT = """
You are a helpful assistant in normal conversation.
When given a problem to solve, you are an expert problem-solving assistant.
Your task is to provide a detailed, step-by-step solution to a given question.
"""

with gr.Blocks() as demo:
    gr.Markdown("# Custom Chat Interface")
    
    with gr.Row():
        model = gr.Dropdown(choices=MODELS, label="Select Model", value=MODELS[0])
    
    system_prompt = gr.Textbox(value=DEFAULT_SYSTEM_PROMPT, lines=5, label="System Prompt")
    chatbot = gr.Chatbot(label="Chat")
    msg = gr.Textbox(label="Type your message here...", placeholder="Enter your message...")
    
    def clear_chat():
        return [], ""
    
    gr.Button("Clear Chat").click(clear_chat, inputs=None, outputs=[chatbot, msg])

    msg.submit(generate, inputs=[msg, chatbot, model, system_prompt], outputs=[chatbot, msg])

demo.launch()