import gradio as gr
from huggingface_hub import InferenceClient
import os

# ============================================================
# ১. মডেল সেটআপ
# ============================================================
model_id = os.getenv("MODEL_ID", "zai-org/GLM-5.2")

def respond(
    message,
    history: list[dict[str, str]],
    system_message,
    max_tokens,
    temperature,
    top_p,
    hf_token: gr.OAuthToken | None,
):
    """
    Lychee GPT - Hugging Face Inference API ব্যবহার করে স্ট্রিমিং রেসপন্স
    """
    # টোকেন নির্বাচন (লগইন করলে OAuth, নইলে Secret)
    if hf_token is not None:
        token = hf_token.token
    else:
        token = os.getenv("HF_TOKEN")
        if token is None:
            yield "⚠️ Please login or set HF_TOKEN in Space Secrets."
            return

    client = InferenceClient(token=token, model=model_id)

    messages = [{"role": "system", "content": system_message}]
    messages.extend(history)
    messages.append({"role": "user", "content": message})

    response = ""
    try:
        for msg in client.chat_completion(
            messages,
            max_tokens=max_tokens,
            stream=True,
            temperature=temperature,
            top_p=top_p,
        ):
            token_text = msg.choices[0].delta.content or ""
            response += token_text
            yield response
    except Exception as e:
        yield f"❌ Error: {str(e)}. Check logs or model availability."

# ============================================================
# ২. Gradio UI
# ============================================================
chatbot = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(
            value="You are Lychee GPT, a helpful AI assistant created by MX LLMS and MD Mushfiqur Rahim.",
            label="System message"
        ),
        gr.Slider(minimum=1, maximum=4096, 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"),
    ],
    title="🍈 Lychee GPT",
    description="Created by MD Mushfiqur Rahim & MX LLMS. Powered by Hugging Face Inference API.",
)

# ============================================================
# ৩. ডেমো (Login Button সহ)
# ============================================================
with gr.Blocks(title="Lychee GPT") as demo:
    with gr.Sidebar():
        gr.LoginButton()
    chatbot.render()

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