import os
import requests
import gradio as gr

# 🔹 Hugging Face model bağlantısı (doğru model!)
API_URL = "https://api-inference.huggingface.co/models/mistralai/Mixtral-8x7B-Instruct-v0.1"
HF_TOKEN = os.getenv("HF_TOKEN")
HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}

def chat(message, history):
    history = history or []
    try:
        payload = {
            "inputs": f"Kullanıcı: {message}\nAsistan:",
            "parameters": {"max_new_tokens": 250, "temperature": 0.7},
            "options": {"wait_for_model": True}
        }
        response = requests.post(API_URL, headers=HEADERS, json=payload, timeout=90)

        if response.status_code == 200:
            data = response.json()
            reply = data[0].get("generated_text", "⚠️ Model yanıt vermedi.")
        elif response.status_code == 503:
            reply = "🕓 Model yükleniyor, lütfen birkaç saniye bekleyin..."
        elif response.status_code == 404:
            reply = "⚠️ Model bulunamadı (404). Lütfen Mixtral model adını kontrol edin."
        else:
            reply = f"⚠️ Hata kodu: {response.status_code}"
    except Exception as e:
        reply = f"❌ Bağlantı hatası: {str(e)}"

    history.append([message, reply])
    return history, history


theme = gr.themes.Soft(primary_hue="cyan", neutral_hue="slate")

with gr.Blocks(theme=theme, title="ZenkaMind v19") as demo:
    gr.Markdown("<h1 style='text-align:center;color:#06b6d4'>🧠 ZenkaMind v19</h1>"
                "<p style='text-align:center;color:#94a3b8'>Mixtral 8x7B modeliyle Türkçe yapay zekâ</p>")
    chatbot = gr.Chatbot(label="ZenkaMind Sohbet", height=500)
    msg = gr.Textbox(placeholder="Mesajınızı yazın...", show_label=False)
    clear = gr.Button("🧹 Sohbeti Temizle")

    msg.submit(chat, [msg, chatbot], [chatbot, chatbot])
    clear.click(lambda: [], None, chatbot, queue=False)

    gr.Markdown("<p style='text-align:center;font-size:12px;color:#64748b'>© 2025 ZenkaMind Bilişim & Teknoloji — Manisa</p>")

demo.launch()