```python
import gradio as gr
import random
import time
def chatbot(message, history, system_prompt):
    # Simple response generation based on the system prompt and user message
    if not system_prompt:
        system_prompt = "I am a helpful AI assistant."
    # Simulate typing with a stream
    for i in range(1, 11):
        thinking_time = random.uniform(0.1, 0.3)
        time.sleep(thinking_time)
        # Generate response gradually based on system prompt
        if "friendly" in system_prompt.lower():
            response_parts = [
                "Hi there! ", 
                "I'd be happy to help you with that. ",
                f"You asked about '{message}'. ",
                "Based on what I know, I think I can provide some guidance on this topic."
            ]
        elif "expert" in system_prompt.lower():
            response_parts = [
                "Based on my expertise, ",
                f"regarding '{message}', ",
                "I can provide you with a detailed analysis. ",
                "Here's what you should know about this subject from a professional perspective."
            ]
        elif "funny" in system_prompt.lower():
            response_parts = [
                "Well, well, well! ", 
                f"So you want to know about '{message}'? ",
                "That's quite an interesting question! ",
                "Let me share my thoughts with a touch of humor."
            ]
        else:
            response_parts = [
                "Thank you for your question. ", 
                f"Regarding '{message}', ",
                "I can provide the following information: ",
                "Please let me know if you need any clarification or have follow-up questions."
            ]
        partial_response = "".join(response_parts[:int(i * len(response_parts) / 10)])
        yield partial_response
with gr.Blocks(theme=gr.themes.Soft()) as demo:
    gr.Markdown("# 🤖 Custom AI Chatbot")
    gr.Markdown("Configure your chatbot's personality and knowledge using the system prompt.")
    with gr.Row():
        with gr.Column(scale=2):
            chatbot = gr.ChatInterface(
                fn=chatbot,
                additional_inputs=[
                    gr.Textbox(
                        placeholder="Enter system prompt here...",
                        label="System Prompt",
                        info="Define your chatbot's personality, knowledge, and style",
                        lines=5
                    )
                ],
                examples=[
                    ["What's the weather like today?"],
                    ["Can you tell me about quantum physics?"],
                    ["Write a short poem about nature."]
                ],
                title="Chat with Your Custom AI",
            )
        with gr.Column(scale=1):
            gr.Markdown("## System Prompt Examples")
            system_prompt_examples = gr.Examples(
                examples=[
                    "You are a friendly assistant who speaks casually and uses simple language.",
                    "You are an expert in technology with deep knowledge of AI, machine learning, and computer science.",
                    "You are a funny comedian who responds with humor and wit.",
                    "You are a professional business consultant providing concise, valuable advice.",
                    "You are a supportive tutor who explains complex concepts in simple terms."
                ],
                inputs=chatbot.additional_inputs[0],
                label="Click on an example to use it"
            )
            gr.Markdown("""
            ### Tips for System Prompts:
            - Define personality traits
            - Specify knowledge domains
            - Set the tone and speaking style
            - Include specific instructions
            - Add any constraints or limitations
            """)