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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
+from pathlib import Path # Ditambahkan untuk manajemen path yang lebih baik
+# --- LIBRARY BARU UNTUK FITUR UPGRADE ---
+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
+# --- HEAD HTML & CSS (Tampilan Profesional) ---
+# (Tidak ada perubahan pada HEAD_HTML & CSS, tetap sama seperti yang Anda berikan)
+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">
+    <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(event) {
+            const titleElement = document.querySelector('#main-title h1');
+            if (titleElement) {
+                const titleText = "🚀 RenXploit's Creative AI Suite 🌌";
+                titleElement.textContent = "";
+                setTimeout(() => typewriterEffect(titleElement, titleText, 50), 500);
+            }
+            setInterval(() => {
+                const triggerButton = document.querySelector('#system-info-trigger-btn button');
+                if (triggerButton) {
+                    triggerButton.click();
+                }
+            }, 5000);
+        });
+    </script>
+    <style>
+        :root { --primary-color: #00aaff; --primary-hover-color: #0088cc; --background-color: #0d1117; --content-background-color: #161b22; --border-color: #30363d; --text-color: #c9d1d9; --text-muted-color: #8b949e; --font-family-main: 'Inter', sans-serif; --font-family-mono: 'Fira Code', monospace; --border-radius: 12px; --shadow-light: 0 4px 14px 0 rgba(0, 170, 255, 0.1); --shadow-strong: 0 6px 20px 0 rgba(0, 170, 255, 0.15); }
+        body, .gradio-container { font-family: var(--font-family-main); background-color: var(--background-color) !important; color: var(--text-color); }
+        h1, h2, h3 { color: #ffffff; font-weight: 600; }
+        #main-title h1 { font-size: 2.5em !important; font-weight: 700 !important; text-align: center; padding: 2rem 1rem; color: #ffffff; background: linear-gradient(90deg, #00aaff, #00ffaa); -webkit-background-clip: text; -webkit-text-fill-color: transparent; display: inline-block; }
+        #main-title .typewriter-cursor { color: var(--primary-color); font-weight: bold; }
+        @keyframes blink { from, to { opacity: 1 } 50% { opacity: 0 } }
+        #main-subtitle p { font-size: 1.2em !important; text-align: center; color: var(--text-muted-color); margin-top: -1.5rem !important; margin-bottom: 2rem !important; }
+        .gradio-tabs { border: none !important; background-color: transparent !important; margin-bottom: 1.5rem; }
+        .gradio-tabs > div[role="tablist"] { display: flex; justify-content: center; flex-wrap: wrap; gap: 10px; border-bottom: 2px solid var(--border-color); padding-bottom: 10px; }
+        .gradio-tabs > div[role="tablist"] > button { background-color: transparent !important; color: var(--text-muted-color) !important; border: none !important; border-bottom: 3px solid transparent !important; font-size: 1.1em !important; font-weight: 600 !important; padding: 12px 20px !important; border-radius: 8px 8px 0 0 !important; transition: all 0.3s ease; }
+        .gradio-tabs > div[role="tablist"] > button:hover { background-color: var(--content-background-color) !important; color: var(--primary-color) !important; }
+        .gradio-tabs > div[role="tablist"] > button.selected { color: var(--primary-color) !important; border-bottom: 3px solid var(--primary-color) !important; background-color: var(--content-background-color) !important; }
+        .tabitem { background-color: transparent !important; border: none !important; padding: 0 !important; }
+        .gradio-row.panel, .gradio-accordion { background-color: var(--content-background-color) !important; border: 1px solid var(--border-color) !importanT; border-radius: var(--border-radius) !important; padding: 24px !important; box-shadow: 0 4px 6px rgba(0,0,0,0.1); }
+        .gradio-accordion { margin-top: 1rem; }
+        .gradio-button.primary { background: linear-gradient(90deg, var(--primary-color), #00c6ff) !important; color: #ffffff !important; font-weight: 600 !important; font-size: 1.1em !important; border-radius: 8px !important; border: none !important; padding: 12px 24px !important; transition: all 0.3s ease; box-shadow: var(--shadow-light); }
+        .gradio-button.primary:hover { transform: translateY(-2px); box-shadow: var(--shadow-strong); }
+        .gradio-button.secondary { background-color: var(--content-background-color) !important; border: 1px solid var(--primary-color) !important; color: var(--primary-color) !important; transition: all 0.3s ease; }
+        .gradio-button.secondary:hover { background-color: var(--primary-color) !important; color: #ffffff !important; }
+        .gradio-textbox, .gradio-number, .gradio-image { background-color: var(--background-color) !important; border: 1px solid var(--border-color) !important; color: var(--text-color) !important; border-radius: 8px !important; }
+        .gradio-textbox textarea, .gradio-number input { color: var(--text-color) !important; }
+        .gradio-textbox:focus-within, .gradio-number:focus-within { border-color: var(--primary-color) !important; box-shadow: 0 0 0 2px rgba(0, 170, 255, 0.3); }
+        div.info { color: var(--text-muted-color) !important; font-style: italic; }
+        #gallery { border-radius: var(--border-radius) !important; overflow: hidden; border: 1px solid var(--border-color); background-color: #010409; }
+        #gallery .gallery-item { transition: transform 0.3s ease, box-shadow 0.3s ease; }
+        #gallery .gallery-item:hover { transform: scale(1.03); box-shadow: 0 8px 30px rgba(0, 170, 255, 0.3); }
+        .loader-container { border: 1px solid var(--border-color); border-radius: var(--border-radius); padding: 30px; background: var(--content-background-color); text-align: center; overflow: hidden; }
+        .loader-text { font-family: var(--font-family-mono); font-size: 1.1em; color: var(--primary-color); margin-bottom: 20px; }
+        .loader-bar-container { height: 8px; background: var(--background-color); border-radius: 4px; overflow: hidden; }
+        .loader-bar { width: 100%; height: 100%; background: linear-gradient(90deg, transparent, var(--primary-color), transparent); background-size: 200% 100%; animation: scan 2s linear infinite; }
+        @keyframes scan { 0% { background-position: 200% 0; } 100% { background-position: -200% 0; } }
+        .gradio-chatbot .message { border-radius: 12px !important; box-shadow: none !important; }
+        .gradio-chatbot .user { background-color: var(--primary-color) !important; color: white !important; }
+        .gradio-chatbot .bot { background-color: var(--content-background-color) !important; border: 1px solid var(--border-color) !important; }
+        .footer { text-align: center; margin: 2rem auto; padding: 1rem; color: var(--text-muted-color); border-top: 1px solid var(--border-color); }
+        .footer b { color: var(--primary-color); }
+    </style>
+</head>
+"""
+# --- PENGATURAN & LOGIC GLOBAL ---
+VISITOR_LOG_FILE = "visitor_log.csv"
+HISTORY_LOG_FILE = "generation_log.csv" # LOG BARU
+IMAGE_HISTORY_DIR = Path("generated_images") # DIREKTORI BARU
+file_lock = threading.Lock()
+device = "cuda" if torch.cuda.is_available() else "cpu"
+print(f"➡️ Menggunakan device: {device.upper()}")
+# --- Inisialisasi File Log & Direktori ---
+def initialize_environment():
+    # Inisialisasi log pengunjung
+    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.")
+    # Inisialisasi log riwayat generasi & direktori gambar (FITUR BARU)
+    IMAGE_HISTORY_DIR.mkdir(exist_ok=True)
+    if not os.path.exists(HISTORY_LOG_FILE):
+        with file_lock:
+            if not os.path.exists(HISTORY_LOG_FILE):
+                with open(HISTORY_LOG_FILE, mode='w', newline='', encoding='utf-8') as f:
+                    writer = csv.writer(f)
+                    writer.writerow(["Timestamp", "Filename", "Prompt", "NegativePrompt", "Seed", "Steps"])
+                print(f"✅ File log riwayat '{HISTORY_LOG_FILE}' dan direktori '{IMAGE_HISTORY_DIR}' siap.")
+initialize_environment()
+# --- 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.")
+# --- KELAS UNTUK CHATBOT GEMINI ---
+class GeminiChat:
+    def __init__(self): # Perbaikan: Gunakan __init__
+        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."
+        try:
+            selected_key = random.choice(self.api_keys)
+            genai.configure(api_key=selected_key)
+            model = genai.GenerativeModel('gemini-2.5-flash') # Menggunakan model yang lebih baru
+            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 atau ada masalah jaringan. Silakan coba lagi."
+gemini_bot = GeminiChat()
+# --- FUNGSI-FUNGSI INTI (GENERATOR & LAINNYA) ---
+def log_visitor(request: gr.Request):
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    ip_address = request.client.host if request else "N/A"
+    user_agent = request.headers.get("user-agent", "Unknown") if request else "N/A"
+    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(seed)
+    images = pipe(prompt=prompt, negative_prompt=negative_prompt, generator=generator, num_inference_steps=steps, guidance_scale=0.0, num_images_per_prompt=num_images).images
+    return images, seed
+def genie_wrapper(prompt, negative_prompt, steps, seed, num_images):
+    yield gr.update(visible=False), gr.update(visible=True, value="<div class='loader-container'><div class='loader-text'>AI sedang melukis mahakarya Anda...</div><div class='loader-bar-container'><div class='loader-bar'></div></div></div>"), gr.update(interactive=False), gr.update(visible=False)
+    start_time = time.time()
+    num_images_int = int(num_images)
+    steps_int = int(steps)
+    seed_int = int(seed)
+    images, used_seed = generate_images(prompt, negative_prompt, steps_int, seed_int, num_images_int)
+    end_time = time.time()
+    # --- UPGRADE: Menyimpan gambar dan log riwayat ---
+    timestamp_str = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    for i, img in enumerate(images):
+        filename = f"{int(time.time())}_{i}.png"
+        filepath = IMAGE_HISTORY_DIR / filename
+        img.save(filepath)
+        with file_lock:
+            with open(HISTORY_LOG_FILE, mode='a', newline='', encoding='utf-8') as f:
+                writer = csv.writer(f)
+                writer.writerow([timestamp_str, filename, prompt, negative_prompt, used_seed, steps_int])
+    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(visible=False), 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 "## 📈 0", pd.DataFrame({"Timestamp": [], "Total Pengunjung": []})
+            df = pd.read_csv(VISITOR_LOG_FILE)
+            if df.empty: return "## 📈 0", pd.DataFrame({"Timestamp": [], "Total Pengunjung": []})
+        df['Timestamp'] = pd.to_datetime(df['Timestamp'], errors='coerce')
+        df.dropna(subset=['Timestamp'], inplace=True)
+        if df.empty: return "## 📈 0", pd.DataFrame({"Timestamp": [], "Total Pengunjung": []})
+        total_overall_visitors = len(df)
+        total_visitors_formatted = f"## 📈 {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({"Error": [error_message]})
+# --- FUNGSI-FUNGSI FITUR BARU ---
+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 Gemini tidak diatur.")
+        return "Fitur tidak aktif."
+    system_instruction = (
+        "Anda adalah seorang ahli prompt engineering untuk model AI text-to-image seperti Stable Diffusion. "
+        "Tugas Anda adalah mengubah ide sederhana dari pengguna menjadi prompt yang kaya, deskriptif, dan artistik. "
+        "Fokus pada detail visual: subjek, setting, pencahayaan (cinematic lighting, soft light, dll), gaya seni (photorealistic, anime style, oil painting, dll), komposisi, dan kualitas (hyperdetailed, 4K, masterpiece, trending on artstation). "
+        "Hasilkan HANYA prompt-nya saja dalam format teks panjang, tanpa penjelasan atau kalimat pembuka/penutup."
+    )
+    yield "🧠 AI sedang meracik prompt ajaib untuk Anda..."
+    enhanced_prompt = gemini_bot.chat(simple_prompt, [], system_prompt=system_instruction)
+    yield enhanced_prompt
+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. Periksa log saat startup.")
+    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, source=0, destination=-1)
+            output_image = (output_image * 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 saat upscaling: {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**VRAM Terpakai:** `{gpu_mem_used_gb:.2f} GB / {gpu_mem_total_gb:.2f} GB`"
+    sys_info = f"**Platform:** `{platform.system()} {platform.release()}`"
+    return (f"**CPU Terpakai:** `{cpu_percent:.1f}%`\n"
+            f"**RAM Terpakai:** `{ram.percent:.1f}% ({ram.used / (1024**3):.2f} GB / {ram.total / (1024**3):.2f} GB)`\n"
+            f"{gpu_info}\n---\n{sys_info}")
+# --- FUNGSI-FUNGSI UNTUK MENU BARU ---
+# Fitur: Galeri & Riwayat
+def load_history():
+    try:
+        with file_lock:
+            if not os.path.exists(HISTORY_LOG_FILE):
+                return [], pd.DataFrame(), "### 📂 Riwayat Kosong\nBelum ada gambar yang dihasilkan."
+            df = pd.read_csv(HISTORY_LOG_FILE)
+        if df.empty:
+            return [], df, "### 📂 Riwayat Kosong\nBelum ada gambar yang dihasilkan."
+        df_sorted = df.sort_values(by="Timestamp", ascending=False)
+        image_paths = [str(IMAGE_HISTORY_DIR / fname) for fname in df_sorted['Filename']]
+        return image_paths, df_sorted, "### ⓘ Detail Gambar\nKlik pada sebuah gambar untuk melihat detailnya."
+    except Exception as e:
+        print(f"❌ Error memuat riwayat: {e}")
+        return [], pd.DataFrame(), f"### ⚠️ Error\nTidak dapat memuat riwayat: {e}"
+def show_history_details(evt: gr.SelectData, history_df: pd.DataFrame):
+    if not evt.selected or history_df.empty:
+        return "### ⓘ Detail Gambar\nKlik pada sebuah gambar untuk melihat detailnya.", gr.update(visible=False)
+    selected_row = history_df.iloc[evt.index]
+    details = f"""
+    **Prompt:** `{selected_row['Prompt']}`
+    **Negative Prompt:** `{selected_row['NegativePrompt']}`
+    ---
+    **Seed:** `{selected_row['Seed']}` | **Steps:** `{selected_row['Steps']}`
+    **File:** `{selected_row['Filename']}` | **Dibuat:** `{selected_row['Timestamp']}`
+    """
+    return details, gr.update(visible=True)
+def send_history_to_generator(evt: gr.SelectData, history_df: pd.DataFrame):
+    if not evt.selected or history_df.empty:
+        return gr.update(), gr.update(), gr.update(), gr.update(), gr.update()
+    selected_row = history_df.iloc[evt.index]
+    return (
+        selected_row['Prompt'],
+        selected_row['NegativePrompt'],
+        selected_row['Seed'],
+        selected_row['Steps'],
+        gr.Tabs(selected=0) # Pindah ke tab generator
+    )
+def send_history_to_editor(evt: gr.SelectData, history_df: pd.DataFrame):
+    if not evt.selected or history_df.empty:
+        return gr.update(), gr.update()
+    selected_row = history_df.iloc[evt.index]
+    image_path = str(IMAGE_HISTORY_DIR / selected_row['Filename'])
+    return Image.open(image_path), gr.Tabs(selected=5) # Pindah ke tab editor
+# Fitur: Image Editor
+def apply_image_edits(image, brightness, contrast, saturation, sharpness, filter_choice):
+    if image is None:
+        return None
+    output_image = image.copy()
+    if filter_choice == "Grayscale":
+        output_image = output_image.convert("L").convert("RGB") # Convert to grayscale and back to RGB
+    elif filter_choice == "Sepia":
+        pixels = output_image.load()
+        width, height = output_image.size
+        for y in range(height):
+            for x in range(width):
+                r, g, b = output_image.getpixel((x, y))
+                tr = int(0.393 * r + 0.769 * g + 0.189 * b)
+                tg = int(0.349 * r + 0.686 * g + 0.168 * b)
+                tb = int(0.272 * r + 0.534 * g + 0.131 * b)
+                pixels[x, y] = (min(255, tr), min(255, tg), min(255, tb))
+    # Terapkan penyesuaian hanya jika bukan filter
+    if filter_choice == "None":
+        enhancer = ImageEnhance.Brightness(output_image)
+        output_image = enhancer.enhance(brightness)
+        enhancer = ImageEnhance.Contrast(output_image)
+        output_image = enhancer.enhance(contrast)
+        enhancer = ImageEnhance.Color(output_image)
+        output_image = enhancer.enhance(saturation)
+        enhancer = ImageEnhance.Sharpness(output_image)
+        output_image = enhancer.enhance(sharpness)
+    return output_image
+# --- ANTARMUKA PENGGUNA (GRADIO UI) ---
+with gr.Blocks(theme=gr.themes.Base(), head=HEAD_HTML) as demo:
+    gr.Markdown("# 🚀 RenXploit's Creative AI Suite 🌌", elem_id="main-title")
+    gr.Markdown("Sebuah platform lengkap untuk kreativitas Anda, ditenagai oleh AI.", elem_id="main-subtitle")
+    with gr.Tabs() as tabs:
+        # --- TAB 1: IMAGE GENERATOR (INTI) ---
+        with gr.TabItem("🎨 Image Generator", id=0):
+            with gr.Row(variant='panel', equal_height=False):
+                with gr.Column(scale=1):
+                    gr.Markdown("### 📝 **Masukan Perintah Anda**")
+                    prompt_input = gr.Textbox(label="Prompt", placeholder="Contoh: Cinematic photo, seekor rubah merah...", lines=3, info="Jadilah sangat spesifik! Atau gunakan Prompt Enhancer.")
+                    negative_prompt_input = gr.Textbox(label="Prompt Negatif", placeholder="Contoh: blurry, low quality, bad hands...", lines=2, info="Hal-hal yang TIDAK Anda inginkan.")
+                    num_images_slider = gr.Slider(minimum=1, maximum=8, value=2, step=1, label="Jumlah Gambar")
+                    generate_btn = gr.Button("✨ Hasilkan Gambar!", variant="primary")
+                    with gr.Accordion("⚙️ Opsi Lanjutan", open=False):
+                        steps_slider = gr.Slider(minimum=1, maximum=5, value=2, step=1, label="Langkah Iterasi (Kualitas vs Kecepatan)")
+                        with gr.Row():
+                            seed_input = gr.Number(label="Seed", value=-1, precision=0, info="Gunakan -1 untuk acak.")
+                            random_seed_btn = gr.Button("🎲 Acak", variant="secondary")
+                with gr.Column(scale=2):
+                    gr.Markdown("### 🖼️ **Hasil Generasi**")
+                    output_gallery = gr.Gallery(label="Hasil Gambar", show_label=False, elem_id="gallery", columns=2, object_fit="contain", height="auto")
+                    loader_html = gr.HTML(visible=False)
+                    info_box = gr.Textbox(label="Informasi Generasi", visible=False, interactive=False, lines=2)
+        # --- TAB 2: CHAT WITH AI (INTI) ---
+        with gr.TabItem("💬 Chat with AI", id=1):
+            with gr.Row(variant='panel'):
+                with gr.Column():
+                    gr.Markdown("### 🤖 **Asisten AI Flood**")
+                    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 adalah asisten AI dari RenXploit. Ada yang bisa saya bantu?")]),
+                            title=None,
+                            description="Tanyakan apa saja!",
+                            examples=["Apa itu SDXL-Turbo?", "Buatkan saya puisi tentang AI", "Jelaskan konsep lubang hitam dengan sederhana"],
+                        )
+        # --- TAB 3: PROMPT ENHANCER (FITUR LAMA) ---
+        with gr.TabItem("✨ Prompt Enhancer", id=2):
+            with gr.Row(variant='panel'):
+                with gr.Column():
+                    gr.Markdown("### 🪄 **Ubah Ide Jadi Prompt Ajaib**\nCukup tulis ide sederhana, dan biarkan AI menyempurnakannya menjadi prompt yang detail dan artistik.")
+                    simple_prompt_input = gr.Textbox(label="Ide Sederhana Anda", placeholder="Contoh: seekor astronot di hutan alien", 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")
+        # --- TAB 4: AI IMAGE UPSCALER (FITUR LAMA) ---
+        with gr.TabItem("🚀 AI Image Upscaler", id=3):
+            with gr.Row(variant='panel', equal_height=False):
+                with gr.Column():
+                    gr.Markdown("### **Tingkatkan Resolusi Gambar**\nUnggah gambar untuk meningkatkan kualitas dan ukurannya hingga 4x lipat menggunakan AI.")
+                    image_to_upscale_input = gr.Image(type="pil", label="Unggah Gambar Anda di Sini")
+                    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 gambar di sini. 1.0 = Tanpa efek.")
+                    upscale_btn = gr.Button("Tingkatkan Resolusi!", variant="primary")
+                with gr.Column():
+                    gr.Markdown("### **Hasil Peningkatan Resolusi**")
+                    upscaled_image_output = gr.Image(label="Gambar Hasil Upscale", interactive=False, show_download_button=True)
+                    upscale_status_text = gr.Markdown("Status: Menunggu gambar...")
+        # --- TAB 5 (BARU): GALERI & RIWAYAT ---
+        with gr.TabItem("🖼️ Galeri & Riwayat", id=4):
+            with gr.Row(variant='panel'):
+                with gr.Column(scale=2):
+                    gr.Markdown("### **Galeri Hasil Generasi Anda**")
+                    history_gallery = gr.Gallery(label="Riwayat Gambar", show_label=False, columns=4, object_fit="contain", height="auto")
+                    history_df_state = gr.State() # State untuk menyimpan dataframe
+                with gr.Column(scale=1):
+                    gr.Markdown("### **Detail & Aksi**")
+                    history_details_md = gr.Markdown("### ⓘ Detail Gambar\nKlik pada sebuah gambar untuk melihat detailnya.")
+                    refresh_history_btn = gr.Button("🔄 Segarkan Galeri", variant="secondary")
+                    with gr.Row(visible=False) as history_action_buttons:
+                        history_to_gen_btn = gr.Button("Kirim ke Generator")
+                        history_to_editor_btn = gr.Button("Kirim ke Editor")
+        # --- TAB 6 (BARU): IMAGE EDITOR ---
+        with gr.TabItem("🎨 Image Editor", id=5):
+            with gr.Row(variant='panel'):
+                with gr.Column(scale=1):
+                    gr.Markdown("### **Toolkit Pasca-Produksi**")
+                    editor_input_image = gr.Image(type="pil", label="Unggah Gambar atau Kirim dari Riwayat")
+                    with gr.Accordion("Penyesuaian", open=True):
+                        brightness_slider = gr.Slider(minimum=0.5, maximum=1.5, value=1.0, step=0.05, label="Kecerahan")
+                        contrast_slider = gr.Slider(minimum=0.5, maximum=1.5, value=1.0, step=0.05, label="Kontras")
+                        saturation_slider = gr.Slider(minimum=0.0, maximum=2.0, value=1.0, step=0.05, label="Saturasi Warna")
+                        sharpness_slider = gr.Slider(minimum=0.0, maximum=3.0, value=1.0, step=0.1, label="Ketajaman")
+                    with gr.Accordion("Filter Cepat", open=True):
+                         filter_radio = gr.Radio(["None", "Grayscale", "Sepia"], label="Pilih Filter", value="None")
+                with gr.Column(scale=1):
+                    gr.Markdown("### **Hasil Editing**")
+                    editor_output_image = gr.Image(label="Hasil Akhir", interactive=False, show_download_button=True)
+        # --- TAB 7: VISITOR MONITOR (INTI) ---
+        with gr.TabItem("📊 Visitor Monitor", id=6):
+            with gr.Row(variant='panel'):
+                with gr.Column():
+                    gr.Markdown("### 📈 **Live Visitor Monitor**\nPantau jumlah total pengunjung aplikasi Anda secara real-time.")
+                    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="Tampilkan data untuk", value="Semua Waktu")
+                            refresh_btn = gr.Button("🔄 Segarkan Manual", variant="secondary")
+                    visitor_plot = gr.LinePlot(x="Timestamp", y="Total Pengunjung", title="Grafik Pertumbuhan Pengunjung", tooltip=['Timestamp', 'Total Pengunjung'], height=500, interactive=True)
+        # --- TAB 8: SYSTEM & SETTINGS (FITUR LAMA) ---
+        with gr.TabItem("⚙️ System & Settings", id=7):
+            with gr.Row(variant='panel'):
+                with gr.Column():
+                    gr.Markdown("### **Live System Monitor**")
+                    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():
+                    gr.Markdown("### **Pengaturan Aplikasi**")
+                    with gr.Accordion("Kualitas Model", 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. Pengaturan ini ditentukan saat aplikasi dimulai berdasarkan ketersediaan GPU Anda.")
+        # --- TAB-TAB STATIS ---
+        with gr.TabItem("💡 Panduan Prompting", id=8):
+            with gr.Row(variant='panel'): gr.Markdown("""## Cara Menjadi "Art Director" yang Hebat untuk AI...\n (Konten panduan Anda di sini)""")
+        with gr.TabItem("📖 Blog & Updates", id=9):
+            with gr.Row(variant='panel'): gr.Markdown("""### Perkembangan Terbaru dari RenXploit's AI Suite
+- **v2.5 (Pembaruan Terkini):** Menambahkan **Galeri & Riwayat Generasi** dan **Image Editor** untuk pasca-produksi.
+- **v2.4:** Upscaler di-upgrade dengan kontrol kejernihan, Visitor Monitor diperbaiki, dan UI Settings diperjelas.
+- **v2.3:** Perbaikan bug kritis untuk kompatibilitas dengan berbagai versi Gradio.
+- **v2.2:** Perbaikan bug untuk kompatibilitas Gradio.
+- **v2.1:** Menambahkan **Prompt Enhancer**, **AI Image Upscaler**, dan **Live System Monitor**.
+- **v2.0:** Perombakan Desain Total.
+- **Rencana Berikutnya:** Menjajaki model generator gambar yang berbeda dan fitur Inpainting/Outpainting. Nantikan!""")
+        with gr.TabItem("ℹ️ About & Support", id=10):
+            with gr.Row(variant='panel'):
+                with gr.Column():
+                    gr.Markdown("### Tentang Proyek dan Dukungan")
+                    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 dan profesional.
+Aplikasi ini terus dikembangkan dengan fitur-fitur baru untuk memberdayakan kreativitas Anda.
+Jika Anda memiliki masukan, menemukan bug, atau ingin berdiskusi, jangan ragu untuk menghubungi saya melalui website portofolio di: **[ngoprek.xyz/contact](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 yang Anda temui atau ide yang Anda miliki...")
+                        report_btn = gr.Button("Kirim Laporan", variant="primary")
+                        report_status = gr.Markdown(visible=False)
+    gr.Markdown("---\n<div class='footer'><p>Dibuat dengan ❤️ oleh <b>RenXploit</b>.</p></div>", elem_classes="footer")
+    # --- PENANGANAN EVENT (EVENT HANDLERS) ---
+    # 1. Event Inti (Generator & Laporan)
+    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, loader_html, generate_btn, info_box])
+    report_btn.click(fn=submit_report, inputs=[report_name, report_email, report_message], outputs=[report_status])
+    # 2. 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])
+    # 3. Event Fitur Lainnya (Prompt Enhancer, Upscaler, System)
+    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])
+    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)
+    # 4. Event untuk Fitur BARU (Galeri & Editor)
+    # Galeri & Riwayat
+    # Memuat riwayat saat tab dipilih atau tombol refresh diklik
+    history_tab = demo.tabs[4]
+    history_tab.select(fn=load_history, inputs=None, outputs=[history_gallery, history_df_state, history_details_md])
+    refresh_history_btn.click(fn=load_history, inputs=None, outputs=[history_gallery, history_df_state, history_details_md])
+    # Menampilkan detail saat gambar di galeri dipilih
+    history_gallery.select(fn=show_history_details, inputs=[history_df_state], outputs=[history_details_md, history_action_buttons])
+    # Aksi dari tombol di detail riwayat
+    history_to_gen_btn.click(
+        fn=send_history_to_generator,
+        inputs=[history_df_state],
+        outputs=[prompt_input, negative_prompt_input, seed_input, steps_slider, tabs]
+    )
+    history_to_editor_btn.click(
+        fn=send_history_to_editor,
+        inputs=[history_df_state],
+        outputs=[editor_input_image, tabs]
+    )
+    # Image Editor
+    editor_inputs = [editor_input_image, brightness_slider, contrast_slider, saturation_slider, sharpness_slider, filter_radio]
+    brightness_slider.release(fn=apply_image_edits, inputs=editor_inputs, outputs=editor_output_image)
+    contrast_slider.release(fn=apply_image_edits, inputs=editor_inputs, outputs=editor_output_image)
+    saturation_slider.release(fn=apply_image_edits, inputs=editor_inputs, outputs=editor_output_image)
+    sharpness_slider.release(fn=apply_image_edits, inputs=editor_inputs, outputs=editor_output_image)
+    filter_radio.change(fn=apply_image_edits, inputs=editor_inputs, outputs=editor_output_image)
+    editor_input_image.change(fn=apply_image_edits, inputs=editor_inputs, outputs=editor_output_image)
+# --- Menjalankan Aplikasi ---
+if __name__ == "__main__":
+    demo.launch(debug=True)