import gradio as gr
from huggingface_hub import InferenceClient
import os

# ==========================================================
# BAGIAN GANTI MODEL (Ubah ID di bawah ini sesuka Anda)
# ==========================================================
# Pilihan 2026: 
# 1. "Qwen/Qwen3-72B-Instruct" (Logika & Bahasa Indonesia mantap)
# 2. "deepseek-ai/DeepSeek-V3.5" (Terbaik untuk Coding)
# 3. "meta-llama/Llama-4-70B-Instruct" (Sangat stabil)
# ==========================================================
MODEL_ID = "Qwen/Qwen3-72B-Instruct" 

# Mengambil token dari Secret yang Anda buat di Settings Space
HF_TOKEN = os.getenv("HF_TOKEN")

client = InferenceClient(model=MODEL_ID, token=HF_TOKEN)

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

    # Menggabungkan riwayat chat agar AI punya memori
    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 = ""

    # Memanggil API secara streaming (teks muncul satu per satu)
    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

# Membuat UI secara manual
demo = gr.ChatInterface(
    respond,
    additional_inputs=[
        gr.Textbox(value="Anda adalah asisten AI yang ahli dalam Sistem Informasi dan Cloudflare Workers.", label="System message"),
        gr.Slider(minimum=1, maximum=8192, value=4096, step=1, label="Max tokens"),
        gr.Slider(minimum=0.1, maximum=2.0, 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="Personal AI Hub (Alternative to Yupp.ai)",
    description=f"Sedang menggunakan model: **{MODEL_ID}**",
    theme="soft"
)

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