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# -*- coding: utf-8 -*-

# --- IMPORT LIBRARY UTAMA & INTI ---
import gradio as gr
import torch
import numpy as np
from diffusers import DiffusionPipeline
import random
import time
import os
from datetime import datetime, timedelta
import csv
import pandas as pd
import threading
from PIL import Image, ImageEnhance

# --- LIBRARY TAMBAHAN UNTUK FITUR BARU ---
try:
    import psutil
    import platform
    from transformers import Swin2SRForImageSuperResolution, Swin2SRImageProcessor
    print("✅ Library tambahan (psutil, transformers) berhasil diimpor.")
except ImportError:
    print("❌ Peringatan: Library 'psutil' atau 'transformers' tidak ditemukan. Fitur System Monitor & Upscaler tidak akan berfungsi.")
    psutil = None
    platform = None
    Swin2SRForImageSuperResolution = None
    Swin2SRImageProcessor = None

try:
    import google.generativeai as genai
    print("✅ Library 'google-generativeai' berhasil diimpor.")
except ImportError:
    print("❌ Peringatan: Library 'google-generativeai' tidak ditemukan. Fitur Chatbot & Prompt Enhancer tidak akan berfungsi.")
    genai = None

# --- [UPGRADE] HEAD HTML & CSS BARU (Tampilan Super Canggih) ---
HEAD_HTML = """
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>RenXploit's Creative AI Suite</title>
    <link rel="preconnect" href="https://fonts.googleapis.com">
    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=Fira+Code:wght@500&display=swap" rel="stylesheet">
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.5.1/css/all.min.css">
    <script>
        function typewriterEffect(element, text, speed) {
            let i = 0;
            element.innerHTML = "";
            const cursor = document.createElement('span');
            cursor.className = 'typewriter-cursor';
            cursor.innerHTML = '▋';
            element.appendChild(cursor);

            function type() {
                if (i < text.length) {
                    element.insertBefore(document.createTextNode(text.charAt(i)), cursor);
                    i++;
                    setTimeout(type, speed);
                } else {
                    cursor.style.animation = 'blink 1s step-end infinite';
                }
            }
            type();
        }

        document.addEventListener("DOMContentLoaded", function() {
            // Efek fade-in untuk seluruh aplikasi
            document.body.style.opacity = '1';

            // Efek Typewriter untuk judul
            const titleElement = document.querySelector('#main-title h1');
            if (titleElement) {
                const titleText = "RenXploit's Creative AI Suite";
                titleElement.textContent = "";
                setTimeout(() => typewriterEffect(titleElement, titleText, 70), 500);
            }

            // Trigger periodik untuk monitor sistem
            setInterval(() => {
                const triggerButton = document.querySelector('#system-info-trigger-btn button');
                if (triggerButton) {
                    triggerButton.click();
                }
            }, 5000); // Interval 5 detik
        });
    </script>
    <style>
        :root {
            --primary-color: #00aaff;
            --secondary-color: #9400d3;
            --glow-color: rgba(0, 170, 255, 0.5);
            --background-color: #0d1117;
            --content-background: rgba(22, 27, 34, 0.6);
            --glass-border: rgba(255, 255, 255, 0.1);
            --border-color: #30363d;
            --text-color: #c9d1d9;
            --text-muted-color: #8b949e;
            --font-family-main: 'Inter', sans-serif;
            --font-family-mono: 'Fira Code', monospace;
            --border-radius: 16px;
            --shadow-light: 0 4px 14px 0 rgba(0, 170, 255, 0.1);
            --shadow-strong: 0 6px 20px 0 rgba(0, 170, 255, 0.2);
        }

        /* --- Latar Belakang Aurora & Animasi --- */
        body, .gradio-container {
            font-family: var(--font-family-main);
            color: var(--text-color);
            background-color: var(--background-color);
            background-image:
                radial-gradient(at 20% 20%, hsla(212,100%,50%,0.2) 0px, transparent 50%),
                radial-gradient(at 80% 20%, hsla(289,100%,50%,0.2) 0px, transparent 50%),
                radial-gradient(at 20% 80%, hsla(180,100%,50%,0.2) 0px, transparent 50%),
                radial-gradient(at 80% 80%, hsla(30,100%,50%,0.2) 0px, transparent 50%);
            opacity: 0;
            transition: opacity 1s ease-in-out;
        }

        /* --- Header & Judul Utama --- */
        #header-container { text-align: center; padding: 3rem 1rem 2rem 1rem; }
        #main-logo { font-size: 3em; color: var(--primary-color); margin-bottom: 1rem; text-shadow: 0 0 15px var(--glow-color); }
        #main-title h1 {
            font-size: 2.8em !important;
            font-weight: 700 !important;
            color: #ffffff;
            background: linear-gradient(90deg, #00aaff, #00ffaa);
            -webkit-background-clip: text;
            -webkit-text-fill-color: transparent;
            display: inline-block;
            margin: 0;
        }
        .typewriter-cursor { color: var(--primary-color); font-weight: bold; animation: blink 1s step-end infinite; }
        @keyframes blink { from, to { opacity: 1 } 50% { opacity: 0 } }
        #main-subtitle p { font-size: 1.2em !important; color: var(--text-muted-color); margin-top: 0.5rem !important; }

        /* --- Gaya Tab Profesional --- */
        .gradio-tabs > div[role="tablist"] {
            display: flex; justify-content: center; flex-wrap: wrap; gap: 12px;
            border-bottom: 1px solid var(--border-color); padding-bottom: 15px; margin-bottom: 2rem;
        }
        .gradio-tabs > div[role="tablist"] > button {
            background: var(--content-background) !important; color: var(--text-muted-color) !important;
            border: 1px solid var(--glass-border) !important; border-radius: 10px !important;
            font-size: 1em !important; font-weight: 600 !important; padding: 10px 20px !important;
            transition: all 0.3s ease; backdrop-filter: blur(10px);
        }
        .gradio-tabs > div[role="tablist"] > button:hover {
            color: #ffffff !important; background: rgba(0, 170, 255, 0.2) !important;
            border-color: var(--primary-color) !important; transform: translateY(-3px);
        }
        .gradio-tabs > div[role="tablist"] > button.selected {
            color: #ffffff !important;
            background: linear-gradient(90deg, var(--primary-color), var(--secondary-color)) !important;
            border: 1px solid var(--primary-color) !important; box-shadow: 0 0 20px var(--glow-color);
        }
        .gradio-tabs i { margin-right: 8px; }
        .tabitem { background-color: transparent !important; border: none !important; padding: 0 !important; }

        /* --- Panel Kaca (Glassmorphism) --- */
        .gradio-row.panel, .gradio-accordion {
            background-color: var(--content-background) !important;
            border: 1px solid var(--glass-border) !important;
            border-radius: var(--border-radius) !important;
            padding: 28px !important;
            box-shadow: 0 8px 32px 0 rgba(0, 0, 0, 0.37);
            backdrop-filter: blur(12px);
            -webkit-backdrop-filter: blur(12px);
            transition: all 0.3s ease;
        }
        .gradio-row.panel:hover, .gradio-accordion:hover {
            border: 1px solid rgba(0, 170, 255, 0.5) !important;
            box-shadow: 0 0 25px rgba(0, 170, 255, 0.15);
        }
        .section-header {
            font-size: 1.5em; font-weight: 600; color: #ffffff;
            border-bottom: 1px solid var(--border-color); padding-bottom: 10px; margin-bottom: 20px;
        }
        .section-header i { color: var(--primary-color); margin-right: 12px; }
        
        /* --- Tombol & Input --- */
        .gradio-button.primary {
            background: linear-gradient(90deg, var(--primary-color), var(--secondary-color)) !important;
            color: #ffffff !important; font-weight: 600 !important; font-size: 1.1em !important;
            border-radius: 10px !important; border: none !important; padding: 12px 24px !important;
            transition: all 0.3s ease; box-shadow: var(--shadow-light);
        }
        .gradio-button.primary:hover { transform: translateY(-3px) scale(1.03); box-shadow: var(--shadow-strong); }
        .gradio-textbox, .gradio-number, .gradio-image, .gradio-radio {
            background-color: rgba(13, 17, 23, 0.8) !important; border: 1px solid var(--border-color) !important;
            color: var(--text-color) !important; border-radius: 10px !important;
        }
        .gradio-textbox:focus-within, .gradio-number:focus-within {
            border-color: var(--primary-color) !important;
            box-shadow: 0 0 0 3px rgba(0, 170, 255, 0.3);
        }

        /* --- Galeri & Chatbot --- */
        #gallery { background-color: transparent; }
        #gallery .gallery-item { border-radius: var(--border-radius); border: 2px solid transparent; transition: all 0.3s ease; }
        #gallery .gallery-item:hover { transform: scale(1.05); box-shadow: 0 0 30px var(--glow-color); border-color: var(--primary-color); }
        .gradio-chatbot .message.user { background: linear-gradient(90deg, var(--primary-color), #00c6ff) !important; color: white !important; }
        .gradio-chatbot .message.bot { background-color: var(--content-background) !important; border: 1px solid var(--glass-border) !important; }

        /* --- Footer --- */
        .footer { text-align: center; padding: 2rem 0; color: var(--text-muted-color); border-top: 1px solid var(--border-color); margin-top: 2rem;}
        .footer b { color: var(--primary-color); font-weight: 600; }
    </style>
</head>
"""

# --- PENGATURAN & LOGIC GLOBAL ---
VISITOR_LOG_FILE = "visitor_log.csv"
file_lock = threading.Lock()
device = "cuda" if torch.cuda.is_available() else "cpu"
print(f"➡️ Menggunakan device: {device.upper()}")

# --- Inisialisasi File Log Pengunjung ---
def initialize_log_file():
    if not os.path.exists(VISITOR_LOG_FILE):
        with file_lock:
            if not os.path.exists(VISITOR_LOG_FILE):
                with open(VISITOR_LOG_FILE, mode='w', newline='', encoding='utf-8') as f:
                    writer = csv.writer(f)
                    writer.writerow(["Timestamp", "IP Address", "User Agent"])
                print(f"✅ File log '{VISITOR_LOG_FILE}' berhasil dibuat.")

initialize_log_file()

# --- PEMUATAN MODEL-MODEL AI ---
# 1. Model Generator Gambar (Inti)
print("➡️ Memuat model SDXL-Turbo...")
pipe = DiffusionPipeline.from_pretrained(
    "stabilityai/sdxl-turbo", torch_dtype=torch.float16 if device == "cuda" else torch.float32,
    variant="fp16" if device == "cuda" else None, use_safetensors=True
).to(device)
if torch.cuda.is_available(): pipe.enable_xformers_memory_efficient_attention()
print("✅ Model SDXL-Turbo berhasil dimuat.")

# 2. Model Peningkatan Resolusi (Fitur Baru)
upscaler_model = None
upscaler_processor = None
if Swin2SRForImageSuperResolution:
    try:
        print("➡️ Memuat model AI Upscaler (Swin2SR)...")
        upscaler_model = Swin2SRForImageSuperResolution.from_pretrained("caidas/swin2sr-realworld-sr-x4-64-bsrgan-psnr").to(device)
        upscaler_processor = Swin2SRImageProcessor.from_pretrained("caidas/swin2sr-realworld-sr-x4-64-bsrgan-psnr")
        print("✅ Model AI Upscaler berhasil dimuat.")
    except Exception as e:
        print(f"❌ Gagal memuat model Upscaler: {e}. Fitur upscale akan dinonaktifkan.")
        upscaler_model = None # Pastikan dinonaktifkan jika gagal
        upscaler_processor = None

# --- KELAS UNTUK CHATBOT GEMINI ---
class GeminiChat:
    def __init__(self):
        self.api_keys = []
        self.is_configured = False
        if not genai: return
        i = 1
        while True:
            key = os.getenv(f"GEMINI_API_KEY_{i}")
            if key: self.api_keys.append(key); i += 1
            else: break
        if self.api_keys:
            print(f"✅ Berhasil memuat {len(self.api_keys)} API Key Gemini. Sistem rotasi aktif.")
            self.is_configured = True
        else:
            print("❌ PERINGATAN: Tidak ada API Key Gemini yang ditemukan. Fitur AI Chat & Prompt Enhancer tidak akan berfungsi.")

    def chat(self, message, history, system_prompt=None):
        if not self.is_configured: return "Maaf, fitur ini tidak terkonfigurasi karena tidak ada API Key yang valid."
        try:
            selected_key = random.choice(self.api_keys)
            genai.configure(api_key=selected_key)
            model = genai.GenerativeModel('gemini-2.5-flash')
            full_prompt = message
            if system_prompt: full_prompt = f"{system_prompt}\n\nUser query: {message}"
            response = model.generate_content(full_prompt)
            return response.text
        except Exception as e:
            print(f"❌ Terjadi error pada API Key Gemini: {e}")
            return "Terjadi kesalahan saat menghubungi API AI. Mungkin salah satu API Key tidak valid, kuota habis, atau ada masalah jaringan. Silakan coba lagi."

gemini_bot = GeminiChat()

# --- FUNGSI-FUNGSI INTI & FITUR ---
def log_visitor(request: gr.Request):
    if not request: return # Hindari error saat Gradio di-reload
    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    ip_address = request.client.host
    user_agent = request.headers.get("user-agent", "Unknown")
    with file_lock:
        with open(VISITOR_LOG_FILE, mode='a', newline='', encoding='utf-8') as f:
            writer = csv.writer(f)
            writer.writerow([timestamp, ip_address, user_agent])
    print(f"✅ Pengunjung baru tercatat: IP {ip_address}")

def generate_images(prompt, negative_prompt, steps, seed, num_images):
    if not prompt: raise gr.Error("Prompt tidak boleh kosong!")
    if seed == -1: seed = random.randint(0, 2**32 - 1)
    generator = torch.manual_seed(int(seed))
    images = pipe(prompt=prompt, negative_prompt=negative_prompt, generator=generator, num_inference_steps=int(steps), guidance_scale=0.0, num_images_per_prompt=int(num_images)).images
    return images, seed

def genie_wrapper(prompt, negative_prompt, steps, seed, num_images):
    yield gr.update(visible=False), gr.update(interactive=False), gr.update(visible=False)
    start_time = time.time()
    images, used_seed = generate_images(prompt, negative_prompt, steps, seed, num_images)
    end_time = time.time()
    generation_time = end_time - start_time
    info_text = f"Seed yang digunakan: {used_seed}\nTotal waktu generasi: {generation_time:.2f} detik"
    yield gr.update(value=images, visible=True), gr.update(interactive=True), gr.update(value=info_text, visible=True)

def submit_report(name, email, message):
    if not name or not message:
        gr.Warning("Nama dan Pesan tidak boleh kosong!")
        return gr.update(visible=False)
    report_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
    report_content = f"--- Laporan Baru ({report_time}) ---\nNama: {name}\nEmail: {email}\nPesan: {message}\n\n"
    with open("reports.log", "a", encoding="utf-8") as f: f.write(report_content)
    print("✅ Laporan baru telah disimpan ke reports.log")
    return gr.update(value="✅ Terima kasih! Laporan Anda telah kami terima.", visible=True)

def update_visitor_monitor(time_filter: str):
    try:
        with file_lock:
            if not os.path.exists(VISITOR_LOG_FILE) or os.path.getsize(VISITOR_LOG_FILE) < 10: return "## <i class='fa-solid fa-users'></i> Total Pengunjung: 0", pd.DataFrame()
            df = pd.read_csv(VISITOR_LOG_FILE)
            if df.empty: return "## <i class='fa-solid fa-users'></i> Total Pengunjung: 0", pd.DataFrame()
        df['Timestamp'] = pd.to_datetime(df['Timestamp'], errors='coerce'); df.dropna(subset=['Timestamp'], inplace=True)
        if df.empty: return "## <i class='fa-solid fa-users'></i> Total Pengunjung: 0", pd.DataFrame()
        total_overall_visitors = len(df)
        total_visitors_formatted = f"## <i class='fa-solid fa-users'></i> Total Pengunjung: {total_overall_visitors:,}"
        df['Total Pengunjung'] = np.arange(1, len(df) + 1)
        now = pd.to_datetime('now', utc=True).tz_localize(None); df['Timestamp'] = df['Timestamp'].dt.tz_localize(None)
        if time_filter == "1 Minggu Terakhir": df_plot = df[df['Timestamp'] >= now - timedelta(weeks=1)]
        elif time_filter == "2 Minggu Terakhir": df_plot = df[df['Timestamp'] >= now - timedelta(weeks=2)]
        elif time_filter == "3 Bulan Terakhir": df_plot = df[df['Timestamp'] >= now - timedelta(days=90)]
        else: df_plot = df
        if df_plot.empty: return total_visitors_formatted, pd.DataFrame({"Timestamp": [], "Total Pengunjung": []})
        return total_visitors_formatted, df_plot
    except Exception as e:
        error_message = f"Error saat memperbarui monitor: {e}"; print(f"❌ {error_message}")
        return f"## ⚠️ Error", pd.DataFrame()

def enhance_prompt(simple_prompt):
    if not simple_prompt: gr.Warning("Tolong masukkan ide Anda terlebih dahulu."); return ""
    if not gemini_bot.is_configured: gr.Error("Fitur Prompt Enhancer tidak aktif karena API Key belum diatur."); return "Fitur tidak aktif."
    system_instruction = ("Anda adalah ahli prompt engineering untuk AI text-to-image. Ubah ide sederhana dari pengguna menjadi prompt yang kaya, deskriptif, dan artistik. "
                          "Fokus pada detail visual: subjek, setting, pencahayaan, gaya seni, komposisi, dan kualitas (hyperdetailed, 4K, masterpiece). "
                          "Hasilkan HANYA prompt-nya saja tanpa penjelasan.")
    yield gr.update(value="🧠 AI sedang meracik prompt ajaib...", interactive=False)
    enhanced_prompt = gemini_bot.chat(simple_prompt, [], system_prompt=system_instruction)
    yield gr.update(value=enhanced_prompt, interactive=True)

def upscale_image(image_to_upscale, clarity_strength):
    if image_to_upscale is None: raise gr.Error("Silakan unggah gambar terlebih dahulu.")
    if upscaler_model is None or upscaler_processor is None: raise gr.Error("Fitur Upscaler tidak aktif karena model gagal dimuat.")
    yield None, "🚀 Memproses peningkatan resolusi 4x oleh AI..."
    try:
        with torch.no_grad():
            inputs = upscaler_processor(image_to_upscale, return_tensors="pt").to(device)
            outputs = upscaler_model(**inputs)
            output_image = outputs.reconstruction.data.squeeze().float().cpu().clamp_(0, 1).numpy()
            output_image = (np.moveaxis(output_image, 0, -1) * 255.0).round().astype(np.uint8)
            final_image = Image.fromarray(output_image)
        if clarity_strength > 1.0:
            yield final_image, f"✨ Menerapkan peningkatan kejernihan (Strength: {clarity_strength:.2f})..."
            enhancer = ImageEnhance.Sharpness(final_image); final_image = enhancer.enhance(clarity_strength)
        yield final_image, f"✅ Gambar berhasil ditingkatkan! Resolusi akhir: {final_image.width}x{final_image.height}px."
    except Exception as e: print(f"❌ Error saat upscaling: {e}"); yield None, f"⚠️ Terjadi error: {e}"

def update_system_info():
    if not psutil or not platform: return "Informasi sistem tidak tersedia (library `psutil` tidak ditemukan)."
    cpu_percent = psutil.cpu_percent(interval=None)
    ram = psutil.virtual_memory()
    gpu_info = "`Tidak terdeteksi (PyTorch tidak menemukan CUDA)`"
    if torch.cuda.is_available():
        gpu_name = torch.cuda.get_device_name(0); gpu_mem_used_gb = torch.cuda.memory_allocated(0)/(1024**3); gpu_mem_total_gb = torch.cuda.get_device_properties(0).total_memory/(1024**3)
        gpu_info = f"**GPU:** `{gpu_name}`\n\n<i class='fa-solid fa-memory'></i> **VRAM:** `{gpu_mem_used_gb:.2f} GB / {gpu_mem_total_gb:.2f} GB`"
    return (f"<i class='fa-solid fa-server'></i> **CPU:** `{cpu_percent:.1f}%`\n\n"
            f"<i class='fa-solid fa-sd-card'></i> **RAM:** `{ram.percent:.1f}% ({ram.used/(1024**3):.2f} GB / {ram.total/(1024**3):.2f} GB)`\n\n"
            f"<i class='fa-solid fa-microchip'></i> {gpu_info}")

# --- ANTARMUKA PENGGUNA (GRADIO UI) ---
with gr.Blocks(theme=gr.themes.Base(primary_hue="sky"), head=HEAD_HTML) as demo:
    with gr.Row(elem_id="header-container"):
        gr.Markdown("<i id='main-logo' class='fa-solid fa-meteor'></i>", elem_id="main-logo-container")
        gr.Markdown("# RenXploit's Creative AI Suite", elem_id="main-title")
        gr.Markdown("Platform All-in-One untuk Imajinasi Tanpa Batas, Didukung oleh Kecerdasan Buatan.", elem_id="main-subtitle")

    with gr.Tabs() as tabs:
        with gr.TabItem("<i class='fa-solid fa-wand-magic-sparkles'></i> Image Generator", id=0):
            with gr.Row(variant='panel', equal_height=False):
                with gr.Column(scale=1):
                    gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-pen-ruler'></i>Kontrol Kreasi</h3>")
                    prompt_input = gr.Textbox(label="Prompt Utama", placeholder="Contoh: Seekor kucing astronot, potret sinematik...", lines=3, info="Jelaskan visimu sedetail mungkin!")
                    negative_prompt_input = gr.Textbox(label="Prompt Negatif", placeholder="Contoh: kualitas buruk, teks, buram...", lines=2, info="Hal yang ingin dihindari.")
                    num_images_slider = gr.Slider(minimum=1, maximum=8, value=2, step=1, label="Jumlah Gambar")
                    generate_btn = gr.Button("✨ Hasilkan Karya!", variant="primary")
                    with gr.Accordion("<i class='fa-solid fa-sliders'></i> Opsi Lanjutan", open=False):
                        steps_slider = gr.Slider(minimum=1, maximum=5, value=2, step=1, label="Langkah Generasi (Cepat vs Detail)")
                        with gr.Row():
                            seed_input = gr.Number(label="Seed", value=-1, precision=0, info="Gunakan -1 untuk acak.")
                            random_seed_btn = gr.Button("🎲 Acak")
                with gr.Column(scale=2):
                    gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-image'></i>Galeri Hasil</h3>")
                    output_gallery = gr.Gallery(label="Hasil Gambar", show_label=False, elem_id="gallery", columns=2, object_fit="contain", height="auto")
                    info_box = gr.Textbox(label="Informasi Generasi", visible=False, interactive=False, lines=2)

        with gr.TabItem("<i class='fa-solid fa-comments'></i> Chat with AI", id=1):
            with gr.Row(variant='panel'):
                gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-robot'></i>Asisten AI Flood</h3>")
                if not gemini_bot.is_configured: gr.Warning("Fitur Chatbot dinonaktifkan. API Key Gemini tidak terkonfigurasi.")
                else: gr.ChatInterface(gemini_bot.chat, chatbot=gr.Chatbot(height=500, label="Flood AI", value=[(None, "Halo! Saya Flood, asisten AI dari RenXploit. Ada yang bisa saya bantu?")]), title=None, description="Tanyakan apa saja, dari coding hingga puisi!")

        with gr.TabItem("<i class='fa-solid fa-lightbulb'></i> Prompt Enhancer", id=2):
            with gr.Row(variant='panel'):
                gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-brain'></i>Ubah Ide Jadi Prompt Ajaib</h3>")
                gr.Markdown("Cukup tulis ide sederhana, dan biarkan AI menyempurnakannya menjadi prompt yang detail dan artistik untuk hasil gambar terbaik.")
                simple_prompt_input = gr.Textbox(label="Ide Sederhana Anda", placeholder="Contoh: naga di atas gunung berapi", lines=3)
                enhance_btn = gr.Button("Buat Prompt Ajaib!", variant="primary")
                enhanced_prompt_output = gr.Textbox(label="Prompt yang Disempurnakan", lines=5, interactive=True, show_copy_button=True)
                send_to_gen_btn = gr.Button("➡️ Kirim & Pindah ke Generator")

        with gr.TabItem("<i class='fa-solid fa-expand'></i> AI Image Upscaler", id=3):
            with gr.Row(variant='panel', equal_height=False):
                with gr.Column():
                    gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-upload'></i>Unggah & Tingkatkan</h3>")
                    gr.Markdown("Tingkatkan resolusi dan detail gambar hingga 4x lipat menggunakan AI canggih.")
                    image_to_upscale_input = gr.Image(type="pil", label="Unggah Gambar Anda")
                    clarity_slider = gr.Slider(minimum=1.0, maximum=3.0, value=1.0, step=0.1, label="Tingkat Peningkatan Kejernihan", info="Setelah di-upscale 4x, atur kejernihan. 1.0 = Tanpa efek.")
                    upscale_btn = gr.Button("Tingkatkan Resolusi!", variant="primary")
                with gr.Column():
                    gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-circle-check'></i>Hasil Peningkatan</h3>")
                    upscaled_image_output = gr.Image(label="Gambar Hasil Upscale", interactive=False)
                    upscale_status_text = gr.Markdown("Status: Menunggu gambar...")

        with gr.TabItem("<i class='fa-solid fa-chart-line'></i> Visitor Monitor", id=4):
             with gr.Row(variant='panel'):
                gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-satellite-dish'></i>Live Visitor Monitor</h3>")
                with gr.Row():
                    with gr.Column(scale=3): visitor_count_display = gr.Markdown("## 📈 Memuat data...")
                    with gr.Column(scale=2):
                        time_filter_radio = gr.Radio(["Semua Waktu", "1 Minggu Terakhir", "2 Minggu Terakhir", "3 Bulan Terakhir"], label="Filter Waktu", value="Semua Waktu")
                        refresh_btn = gr.Button("🔄 Segarkan")
                visitor_plot = gr.LinePlot(x="Timestamp", y="Total Pengunjung", title="Grafik Pertumbuhan Pengunjung", tooltip=['Timestamp', 'Total Pengunjung'], height=450)

        with gr.TabItem("<i class='fa-solid fa-cogs'></i> System & Settings", id=5):
            with gr.Row(variant='panel'):
                with gr.Column(scale=2):
                     with gr.Accordion("<i class='fa-solid fa-gauge-high'></i> Live System Monitor", open=True):
                         system_info_md = gr.Markdown("Memuat info sistem...")
                         system_info_trigger_btn = gr.Button("Trigger System Info", visible=False, elem_id="system-info-trigger-btn")
                with gr.Column(scale=3):
                    with gr.Accordion("<i class='fa-solid fa-sliders'></i> Pengaturan Aplikasi", open=True):
                         gr.Radio(["FP16 (Cepat, Kualitas Baik)", "FP32 (Lambat, Kualitas Terbaik)"],
                                  value="FP16 (Cepat, Kualitas Baik)" if device == "cuda" else "FP32 (Lambat, Kualitas Terbaik)",
                                  label="Presisi Model Generator", interactive=False,
                                  info="Terkunci. Ditentukan saat startup berdasarkan ketersediaan GPU Anda.")

        with gr.TabItem("<i class='fa-solid fa-book-open'></i> Panduan", id=6):
            with gr.Row(variant='panel'): gr.Markdown("""<h3 class='section-header'><i class='fa-solid fa-lightbulb'></i>Cara Menjadi "Art Director" yang Hebat untuk AI</h3><p>Konten panduan akan ditambahkan di sini...</p>""")

        with gr.TabItem("<i class='fa-solid fa-newspaper'></i> Blog & Updates", id=7):
            with gr.Row(variant='panel'): gr.Markdown("""<h3 class='section-header'><i class='fa-solid fa-rocket'></i>Perkembangan Terbaru</h3>- **v3.0 (Pembaruan Desain):** Perombakan total UI/UX dengan tema Glassmorphism, ikon, dan animasi profesional.\n- **v2.4:** Upscaler di-upgrade dengan kontrol kejernihan, Visitor Monitor diperbaiki.\n- **v2.1:** Menambahkan **Prompt Enhancer**, **AI Image Upscaler**, dan **Live System Monitor**.""")

        with gr.TabItem("<i class='fa-solid fa-info-circle'></i> About & Support", id=8):
            with gr.Row(variant='panel'):
                gr.Markdown("<h3 class='section-header'><i class='fa-solid fa-question-circle'></i>Tentang & Bantuan</h3>")
                with gr.Accordion("Tentang RenXploit's Creative AI Suite", open=True):
                    gr.Markdown("**RenXploit's Creative AI Suite** adalah proyek pribadi yang dibuat untuk mengeksplorasi kemampuan AI generatif dalam sebuah antarmuka yang mudah digunakan.\n **Bagian ini belum saya kerjakan dengan selesai** jadi jika anda ingin komplain atau ada hal apapun itu bisa report ke saya lewat website portofolio saya dengan url: https://ngoprek.xyz/contact")
                with gr.Accordion("Laporkan Masalah atau Beri Masukan"):
                    report_name = gr.Textbox(label="Nama Anda")
                    report_email = gr.Textbox(label="Email Anda (Opsional)")
                    report_message = gr.Textbox(label="Pesan Anda", lines=5, placeholder="Jelaskan masalah atau ide Anda...")
                    report_btn = gr.Button("Kirim Laporan", variant="primary")
                    report_status = gr.Markdown(visible=False)

    gr.Markdown("<div class='footer'><p>Dibuat dengan <i class='fa-solid fa-heart' style='color: #ff4d4d;'></i> oleh <b>RenXploit</b>.</p></div>")

    # --- PENANGANAN EVENT (EVENT HANDLERS) ---
    random_seed_btn.click(lambda: -1, outputs=seed_input)
    generate_btn.click(fn=genie_wrapper, inputs=[prompt_input, negative_prompt_input, steps_slider, seed_input, num_images_slider], outputs=[output_gallery, generate_btn, info_box])
    report_btn.click(fn=submit_report, inputs=[report_name, report_email, report_message], outputs=[report_status])
    
    # Event Visitor Monitor
    demo.load(log_visitor, inputs=None, outputs=None)
    demo.load(fn=update_visitor_monitor, inputs=[time_filter_radio], outputs=[visitor_count_display, visitor_plot])
    refresh_btn.click(fn=update_visitor_monitor, inputs=[time_filter_radio], outputs=[visitor_count_display, visitor_plot])
    time_filter_radio.change(fn=update_visitor_monitor, inputs=[time_filter_radio], outputs=[visitor_count_display, visitor_plot])

    # Event Fitur Baru
    enhance_btn.click(fn=enhance_prompt, inputs=[simple_prompt_input], outputs=[enhanced_prompt_output])
    send_to_gen_btn.click(fn=lambda prompt: (prompt, gr.Tabs(selected=0)), inputs=[enhanced_prompt_output], outputs=[prompt_input, tabs])
    upscale_btn.click(fn=upscale_image, inputs=[image_to_upscale_input, clarity_slider], outputs=[upscaled_image_output, upscale_status_text])
    
    # Event System Monitor
    system_info_trigger_btn.click(fn=update_system_info, inputs=None, outputs=system_info_md)
    demo.load(fn=update_system_info, inputs=None, outputs=system_info_md)

# --- Menjalankan Aplikasi ---
if __name__ == "__main__":
    demo.launch(debug=True)