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import gradio as gr
from huggingface_hub import InferenceClient

client = InferenceClient("Qwen/Qwen2.5-Coder-32B-Instruct")

def respond(
    message,
    history: list[tuple[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
):
    messages = [{"role": "system", "content": system_message}]

    for val in history:
        if val[0]:
            messages.append({"role": "user", "content": val[0]})
        if val[1]:
            messages.append({"role": "assistant", "content": val[1]})

    messages.append({"role": "user", "content": message})

    response = ""

    for message in client.chat_completion(
        messages,
        max_tokens=max_tokens,
        stream=True,
        temperature=temperature,
        top_p=top_p,
    ):
        token = message.choices[0].delta.content

        response += token
        yield response

# Custom CSS to change the title color and add a copyright notice
opq = """
.gradio-container h1 {
    color: #40E0D0 !important;
}

/* Add a footer for the copyright notice */
#custom-footer {
    position: fixed;
    bottom: 0;
    width: 100%;
    background-color: #f1f1f1;
    text-align: center;
    padding: 10px 0;
    font-size: 14px;
    color: #333;
    z-index: 1000; /* Ensure the footer is above other elements */
}
"""

# HTML for the copyright notice
footer_html = """
<div id="custom-footer">
    &copy; 2023 Your Company Name. All rights reserved.
</div>
"""

with gr.Blocks(css=opq) as demo:
    gr.Markdown("# Welcome to Rxple Chat Bot")
    gr.Markdown("Follow us on [Instagram](https://www.instagram.com/khellon_patel_21)")
    
    chatbot = gr.Chatbot()
    message = gr.Textbox(placeholder="Type a message...")
    submit = gr.Button("Send")
    
    with gr.Row():
        system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
        max_tokens = gr.Slider(minimum=1, maximum=2048, value=2048, step=1, label="Max new tokens")
        temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
        top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
    
    gr.HTML(footer_html)  # Add the footer HTML here
    
    def update_chat(message, history, system_message, max_tokens, temperature, top_p):
        response = list(respond(message, history, system_message, max_tokens, temperature, top_p))
        history.append((message, response[-1]))
        return history, history
    
    submit.click(update_chat, [message, chatbot, system_message, max_tokens, temperature, top_p], [chatbot, chatbot])
    message.submit(update_chat, [message, chatbot, system_message, max_tokens, temperature, top_p], [chatbot, chatbot])

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