import gradio as gr
from huggingface_hub import InferenceClient


def respond(
    message,
    history: list[dict[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
    hf_token: gr.OAuthToken,
):
    if hf_token is None:
        raise gr.Error("Veuillez vous connecter via le bouton dans la barre latérale.")

    try:
        client = InferenceClient(token=hf_token.token, model="deepseek-ai/DeepSeek-V3.2")

        messages = [{"role": "system", "content": system_message}]
        messages.extend(history)
        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,
        ):
            choices = message.choices
            token = ""
            if len(choices) and choices[0].delta.content:
                token = choices[0].delta.content

            response += token
            yield response
    except Exception as e:
        raise gr.Error(f"Erreur modèle : {str(e)}")


custom_theme = gr.themes.Soft(
    primary_hue="indigo",
    secondary_hue="violet",
)

custom_css = """
h1 { text-align: center; color: #4f46e5; margin-bottom: 0; }
.description { text-align: center; color: #666; margin-bottom: 20px; }
"""

my_chatbot = gr.Chatbot(
    height=600,
    type="messages",
    avatar_images=(None, "https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.svg"),
    show_copy_button=True
)

chat_interface = gr.ChatInterface(
    respond,
    chatbot=my_chatbot,
    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"),
    ],
)

with gr.Blocks(theme=custom_theme, css=custom_css, title="Chatbot DeepSeek") as demo:
    gr.Markdown("# ✨ Le Chatbot qu'il vous faut")
    gr.Markdown("Une interface intelligente propulsée par DeepSeek AI.", elem_classes="description")

    with gr.Row():
        with gr.Column(scale=1, min_width=200):
            gr.Markdown("### 🔐 Accès")
            gr.LoginButton(value="Connexion HF")
            gr.Markdown("Connectez-vous pour utiliser le modèle.")

        with gr.Column(scale=4):
            chat_interface.render()

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