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floodd commited on Nov 3

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c062e09

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Update app.py

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app.py +412 -147

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@@ -1,4 +1,6 @@
 import gradio as gr
 import torch
 import numpy as np
@@ -10,82 +12,247 @@ from datetime import datetime, timedelta
 import csv
 import pandas as pd
 import threading
 try:
     import google.generativeai as genai
     print("✅ Library 'google-generativeai' berhasil diimpor.")
 except ImportError:
-    print("❌ Peringatan: Library 'google-generativeai' tidak ditemukan.")
     genai = None
 VISITOR_LOG_FILE = "visitor_log.csv"
 file_lock = threading.Lock()
 def initialize_log_file():
-    """Membuat file log jika belum ada."""
     if not os.path.exists(VISITOR_LOG_FILE):
         with file_lock:
-            # Periksa lagi di dalam lock untuk menghindari race condition
             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 file log saat script dimulai
 initialize_log_file()
-def log_visitor(request: gr.Request):
-    """Mencatat informasi pengunjung ke dalam file CSV."""
-    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 update_visitor_monitor(time_filter: str):
-    """Membaca file log, memproses data, dan mengembalikannya untuk ditampilkan di UI."""
     try:
-        with file_lock:
-            if not os.path.exists(VISITOR_LOG_FILE) or os.path.getsize(VISITOR_LOG_FILE) == 0:
-                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)
-        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').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]})
 class GeminiChat:
     def __init__(self):
         self.api_keys = []
@@ -97,145 +264,243 @@ class GeminiChat:
             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. Sistem rotasi aktif.")
             self.is_configured = True
         else:
-            print("❌ PERINGATAN: Tidak ada API Key Gemini yang ditemukan di Secrets.")
-    def chat(self, message, history):
-        if not self.is_configured: return "Maaf, chatbot tidak terkonfigurasi."
         try:
             selected_key = random.choice(self.api_keys)
             genai.configure(api_key=selected_key)
             model = genai.GenerativeModel('gemini-2.5-flash')
-            response = model.generate_content(message)
             return response.text
         except Exception as e:
-            print(f"❌ Terjadi error pada salah satu API Key: {e}")
-            return "Terjadi kesalahan saat menghubungi API Gemini. Silakan coba lagi."
 gemini_bot = GeminiChat()
-device = "cuda" if torch.cuda.is_available() else "cpu"
-print(f"➡️ Menggunakan device untuk generator gambar: {device.upper()}")
-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()
 def generate_images(prompt, negative_prompt, steps, seed, num_images):
     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), gr.update(interactive=False), gr.update(visible=False)
     start_time = time.time()
-    for i in range(10):
-        elapsed_time = time.time() - start_time
-        loader_html_content = f"""<div class="loader-container"><div class="loader-bar"></div><p class="loader-text">Mempersiapkan model... Waktu berlalu: {elapsed_time:.2f} detik</p></div>"""
-        yield gr.update(), gr.update(value=loader_html_content), gr.update(), gr.update()
-        time.sleep(0.1)
-    images, used_seed = generate_images(prompt, negative_prompt, steps, int(seed), int(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(visible=False), gr.update(interactive=True), gr.update(value=info_text, visible=True)
 def submit_report(name, email, message):
     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)
-CUSTOM_CSS = """
-.loader-container { border: 1px solid #333; border-radius: 8px; padding: 20px; background-color: #1a1a1a; text-align: center; overflow: hidden; position: relative; }
-.loader-text { font-family: 'monospace'; font-size: 1.1em; color: #00ff99; text-shadow: 0 0 5px #00ff99; }
-.loader-bar { position: absolute; top: 0; left: -10%; width: 10%; height: 100%; background: linear-gradient(90deg, transparent, rgba(0, 255, 153, 0.5), transparent); animation: scan 2s linear infinite; }
-@keyframes scan { 0% { left: -10%; } 100% { left: 100%; } }
-.footer { text-align: center; margin: 2rem auto; }
-"""
-with gr.Blocks(theme=gr.themes.Monochrome(), css=CUSTOM_CSS) as demo:
-    gr.Markdown("# 🚀 RenXploit's Creative AI Suite 🌌\nSebuah platform lengkap untuk kreativitas Anda, ditenagai oleh AI.")
-    with gr.Tabs():
-        # --- TAB 1: IMAGE GENERATOR ---
-        with gr.TabItem("🎨 Image Generator", id=0):
-            with gr.Row(variant='panel'):
                 with gr.Column(scale=1):
-                    gr.Markdown("### 📝 Masukkan Perintah Anda")
-                    prompt_input = gr.Textbox(label="Prompt", placeholder="Contoh: Cinematic photo, seekor rubah merah...", lines=3, info="Jadilah sangat spesifik!")
-                    negative_prompt_input = gr.Textbox(label="Prompt Negatif", placeholder="Contoh: blurry, low quality...", 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")
                         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("### 🖼️ 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)
-        # --- TAB 2: CHAT WITH AI ---
-        with gr.TabItem("💬 Chat with AI", id=1):
-            gr.Markdown("### 🤖 Asisten AI Flood\nTanyakan apa saja!")
-            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, value=[[None, "Halo! Saya adalah asisten AI dari RenXploit. Ada yang bisa saya bantu?"]]), type="tuples")
-        # --- TAB 3: VISITOR MONITOR (BARU) ---
-        with gr.TabItem("📊 Visitor Monitor", id=2):
-            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")
-            visitor_plot = gr.LinePlot(x="Timestamp", y="Total Pengunjung", title="Grafik Pertumbuhan Pengunjung", tooltip=['Timestamp', 'Total Pengunjung'], height=500, interactive=True)
-        # --- TAB-TAB STATIS LAINNYA ---
-        with gr.TabItem("💡 Panduan Prompting", id=3):
-            gr.Markdown("## Cara Menjadi \"Art Director\" yang Hebat untuk AI\n\nSelamat datang di panduan prompting! Membuat gambar AI yang bagus adalah seni tersendiri. Anggap diri Anda sebagai sutradara film dan AI sebagai aktor Anda. Semakin jelas instruksi Anda, semakin baik hasilnya.\n\n### 1. **Jadilah Spesifik dan Deskriptif**\n- **Buruk:** `mobil`\n- **Bagus:** `mobil sport merah klasik tahun 1960-an, convertible, melaju di jalan pantai saat matahari terbenam`\n\n### 2. **Gunakan Kata Sifat yang Kuat**\n- Tambahkan kata-kata seperti `sinematik`, `dramatis`, `sureal`, `fotorealistik`, `epik`, `bercahaya`, `mistis` untuk mengatur suasana.\n\n### 3. **Tentukan Gaya Seni**\n- Ingin terlihat seperti apa? Sebutkan!\n- Contoh: `lukisan cat minyak`, `gaya anime studio ghibli`, `seni piksel 16-bit`, `foto hitam putih`, `seni konsep sci-fi`\n\n### 4. **Gunakan Prompt Negatif**\n- Gunakan kolom Prompt Negatif untuk menghilangkan hal-hal yang tidak Anda inginkan. Ini sangat kuat!\n- Contoh: `tangan jelek, buram, kualitas rendah, teks, tanda air, cacat, kusam`\n")
-        with gr.TabItem("📖 Blog & Updates", id=4):
-            gr.Markdown("### Perkembangan Terbaru dari RenXploit's AI Suite\n\n- **v1.0 new (28 Oktober 2025):** Menambahkan tab Visitor Monitor! Sekarang kami dapat melihat seberapa banyak aplikasi ini digunakan\n- **v1.5 (29 Oktober 2025):** Peluncuran awal Creative AI Suite dengan Image Generator SDXL-Turbo dan Asisten AI berbasis Gemini.\n- **Rencana Berikutnya:** Kami sedang menjajaki kemungkinan menambahkan fitur *upscaling* gambar dan model generator gambar yang berbeda. Nantikan!")
-        with gr.TabItem("ℹ️ About & Support", id=5):
-            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.\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 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")
-    # --- Event Handlers untuk AI Suite ---
     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])
-    # --- Event Handlers untuk 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])
 if __name__ == "__main__":
-    demo.launch()

+# -*- coding: utf-8 -*-
+# --- IMPORT LIBRARY UTAMA & INTI ---
 import gradio as gr
 import torch
 import numpy as np
 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 = []
             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)