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floodd commited on Nov 4, 2025

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4901939

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1 Parent(s): 0d4c15d

Update app.py

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app.py +313 -186

app.py CHANGED Viewed

@@ -12,9 +12,9 @@ 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
@@ -34,8 +34,92 @@ except ImportError:
     print("❌ Peringatan: Library 'google-generativeai' tidak ditemukan. Fitur Chatbot & Prompt Enhancer tidak akan berfungsi.")
     genai = None
-# --- HEAD_HTML tetap sama (potong di sini untuk ringkas) ---
-HEAD_HTML = """..."""  # keep your original HEAD_HTML here
 # --- PENGATURAN & LOGIC GLOBAL ---
 VISITOR_LOG_FILE = "visitor_log.csv"
@@ -43,14 +127,6 @@ file_lock = threading.Lock()
 device = "cuda" if torch.cuda.is_available() else "cpu"
 print(f"➡️ Menggunakan device: {device.upper()}")
-# MODEL PLACEHOLDERS (lazy load)
-pipe = None
-pipe_lock = threading.Lock()
-upscaler_model = None
-upscaler_processor = None
-upscaler_lock = threading.Lock()
 # --- Inisialisasi File Log Pengunjung ---
 def initialize_log_file():
     if not os.path.exists(VISITOR_LOG_FILE):
@@ -63,62 +139,29 @@ def initialize_log_file():
 initialize_log_file()
-# --- FUNGSI UNTUK MEMUAT MODEL SECARA LAZY (agar UI tidak blank saat startup) ---
-def load_pipe_if_needed():
-    global pipe
-    if pipe is not None:
-        return
-    with pipe_lock:
-        if pipe is not None:
-            return
-        try:
-            print("➡️ Memuat model SDXL-Turbo (lazy load)... ini akan memakan waktu.")
-            torch_dtype = torch.float16 if device == "cuda" else torch.float32
-            # Sesuaikan variant agar tidak meng-crash saat cpu
-            variant = "fp16" if device == "cuda" else None
-            pipe_local = DiffusionPipeline.from_pretrained(
-                "stabilityai/sdxl-turbo",
-                torch_dtype=torch_dtype,
-                variant=variant,
-                use_safetensors=True
-            )
-            pipe_local = pipe_local.to(device)
-            try:
-                if torch.cuda.is_available():
-                    pipe_local.enable_xformers_memory_efficient_attention()
-            except Exception:
-                # optional if xformers not available
-                pass
-            pipe = pipe_local
-            print("✅ Model SDXL-Turbo berhasil dimuat (lazy).")
-        except Exception as e:
-            pipe = None
-            print(f"❌ Gagal memuat model SDXL-Turbo: {e}")
-def load_upscaler_if_needed():
-    global upscaler_model, upscaler_processor
-    if Swin2SRForImageSuperResolution is None:
-        return
-    if upscaler_model is not None and upscaler_processor is not None:
-        return
-    with upscaler_lock:
-        if upscaler_model is not None and upscaler_processor is not None:
-            return
-        try:
-            print("➡️ Memuat model AI Upscaler (lazy)...")
-            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 (lazy).")
-        except Exception as e:
-            print(f"❌ Gagal memuat model Upscaler: {e}. Fitur upscale akan dinonaktifkan.")
-            upscaler_model = None
-            upscaler_processor = None
-# --- KELAS UNTUK CHATBOT GEMINI (tetap sama) ---
 class GeminiChat:
     def __init__(self):
         self.api_keys = []
@@ -136,7 +179,7 @@ class GeminiChat:
             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)
@@ -147,71 +190,33 @@ class GeminiChat:
             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 = None):
-    # Catat pengunjung hanya jika request tersedia (tidak memaksa)
-    if not request:
-        return
-    try:
-        timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-        ip_address = request.client.host if hasattr(request, "client") else "Unknown"
-        user_agent = request.headers.get("user-agent", "Unknown") if hasattr(request, "headers") else "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}")
-    except Exception as e:
-        print(f"❌ Gagal mencatat pengunjung: {e}")
 def generate_images(prompt, negative_prompt, steps, seed, num_images):
-    # Pastikan prompt ada
-    if not prompt: raise gr.Error("Prompt tidak boleh kosong!")
-    # Pastikan model dimuat (lazy)
-    load_pipe_if_needed()
-    if pipe is None:
-        raise gr.Error("Model generator belum tersedia. Periksa log server untuk error saat memuat model.")
-    # Atur seed
-    if seed is None or int(seed) == -1:
-        seed = random.randint(0, 2**31 - 1)
-    seed = int(seed)
-    # Buat generator yang benar sesuai device
-    try:
-        gen = torch.Generator(device=device)
-    except Exception:
-        # fallback jika device string tidak diterima
-        gen = torch.Generator()
-    gen.manual_seed(seed)
-    # Convert steps/num_images to int (safety)
-    steps = int(steps) if steps else 20
-    num_images = int(num_images) if num_images else 1
-    # Jalankan pipeline (gunakan guidance_scale default yang wajar)
-    try:
-        images = pipe(prompt=prompt,
-                      negative_prompt=negative_prompt or None,
-                      generator=gen,
-                      num_inference_steps=steps,
-                      guidance_scale=7.5,
-                      num_images_per_prompt=num_images).images
-    except Exception as e:
-        raise gr.Error(f"Kesalahan saat proses generasi: {e}")
     return images, seed
 def genie_wrapper(prompt, negative_prompt, steps, seed, num_images):
-    # generator function untuk update UI step-by-step
     yield gr.update(visible=False), gr.update(visible=True), 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"
@@ -223,128 +228,250 @@ def submit_report(name, email, message):
         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:
-        yield gr.update(value="", interactive=True)
-        return
     if not gemini_bot.is_configured:
-        yield gr.update(value="Fitur tidak aktif (API Key Gemini belum dikonfigurasi).", interactive=True)
-        return
-    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.")
-    load_upscaler_if_needed()
     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():
-        try:
-            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`"
-        except Exception:
-            gpu_info = "`Informasi GPU tidak dapat diambil`"
-    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")
-    loader_html = gr.HTML('<div class="loader"></div>', visible=False)
     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=50, value=20, 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)
-        # ... (sisa UI tidak berubah, gunakan bagian UI dari skrip asli) ...
-        # For brevity, include the rest of your TabItems here unchanged (chat, enhancer, upscaler, etc).
-        # Make sure to reuse the same component variable names referenced below.
-    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, loader_html, generate_btn, info_box])
-    # Tambahkan handler lain seperti pada skrip asal: report_btn, demo.load, dsb.
     demo.load(log_visitor, inputs=None, outputs=None)
-    demo.load(fn=update_system_info, inputs=None, outputs=[ ])  # sesuaikan sesuai komponen system_info_md jika ada
 # --- Menjalankan Aplikasi ---
 if __name__ == "__main__":

 import csv
 import pandas as pd
 import threading
+from PIL import Image, ImageEnhance # Ditambahkan untuk fitur kejernihan gambar
+# --- LIBRARY BARU UNTUK FITUR UPGRADE ---
 try:
     import psutil
     import platform
     print("❌ Peringatan: Library 'google-generativeai' tidak ditemukan. Fitur Chatbot & Prompt Enhancer tidak akan berfungsi.")
     genai = None
+# --- HEAD HTML & CSS (Tampilan Profesional) ---
+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);
+            }
+            // --- JAVASCRIPT UNTUK TRIGGER PERIODIK YANG KOMPATIBEL ---
+            setInterval(() => {
+                const triggerButton = document.querySelector('#system-info-trigger-btn button');
+                if (triggerButton) {
+                    triggerButton.click();
+                }
+            }, 5000); // Interval 5000 milidetik = 5 detik
+        });
+    </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"
 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):
 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.")
+# --- KELAS UNTUK CHATBOT GEMINI ---
 class GeminiChat:
     def __init__(self):
         self.api_keys = []
             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)
             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), gr.update(interactive=False), gr.update(visible=False)
     start_time = time.time()
+    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"
         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)
+# --- PERBAIKAN: Fungsi Visitor Monitor yang lebih robust ---
 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: # Check for header
+                return "## 📈 0", pd.DataFrame({"Timestamp": [], "Total Pengunjung": []})
             df = pd.read_csv(VISITOR_LOG_FILE)
+            if df.empty: return "## 📈 0", pd.DataFrame({"Timestamp": [], "Total Pengunjung": []})
+        # Konversi ke datetime dan tangani error dengan mengubahnya menjadi NaT (Not a Time)
+        df['Timestamp'] = pd.to_datetime(df['Timestamp'], errors='coerce')
+        df.dropna(subset=['Timestamp'], inplace=True) # Hapus baris yang gagal dikonversi
+        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)
+        # Membuat semua data waktu menjadi timezone-naive untuk perbandingan yang konsisten
+        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
+# --- PERBAIKAN: Fungsi Upscaler dengan kontrol kejernihan ---
 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:
+        # Langkah 1: Upscale dengan AI
         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)
+        # Langkah 2: Terapkan peningkatan kejernihan jika diminta
         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}")
+# --- 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 BARU) ---
+        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)
+                    with gr.Row():
+                        send_to_gen_btn = gr.Button("➡️ Kirim & Pindah ke Generator")
+        # --- TAB 4: AI IMAGE UPSCALER (FITUR BARU & DIPERBAIKI) ---
+        with gr.TabItem("🚀 AI Image Upscaler", id=3):
+            with gr.Row(variant='panel', equal_height=False): # Ubah equal_height agar slider tidak meregang
+                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")
+                    # --- PERBAIKAN: Menambahkan slider untuk kontrol kejernihan ---
+                    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)
+                    upscale_status_text = gr.Markdown("Status: Menunggu gambar...")
+        # --- TAB 5: VISITOR MONITOR (INTI & DIPERBAIKI) ---
+        with gr.TabItem("📊 Visitor Monitor", id=4):
+             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 6: SYSTEM & SETTINGS (FITUR BARU & DIPERBAIKI) ---
+        with gr.TabItem("⚙️ System & Settings", id=5):
+            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):
+                         # --- PERBAIKAN: Mengubah teks info agar lebih jelas ---
+                         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 ---
+        # (Tidak ada perubahan di sini, konten tetap sama)
+        with gr.TabItem("💡 Panduan Prompting", id=6):
+            with gr.Row(variant='panel'): gr.Markdown("""## Cara Menjadi "Art Director" yang Hebat untuk AI...""")
+        with gr.TabItem("📖 Blog & Updates", id=7):
+            with gr.Row(variant='panel'): gr.Markdown("""### Perkembangan Terbaru dari RenXploit's AI Suite\n- **v2.4 (Pembaruan Terkini):** Upscaler di-upgrade dengan kontrol kejernihan, Visitor Monitor diperbaiki, dan UI Settings diperjelas.\n- **v2.3:** Perbaikan bug kritis untuk kompatibilitas dengan berbagai versi Gradio.\n- **v2.2:** Perbaikan bug untuk kompatibilitas Gradio.\n- **v2.1:** Menambahkan **Prompt Enhancer**, **AI Image Upscaler**, dan **Live System Monitor**.\n- **v2.0:** Perombakan Desain Total.\n- **Rencana Berikutnya:** Menjajaki model generator gambar yang berbeda dan fitur Inpainting/Outpainting. Nantikan!""")
+        with gr.TabItem("ℹ️ About & Support", id=8):
+            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.\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")
     # --- PENANGANAN EVENT (EVENT HANDLERS) ---
+    # 1. Event Inti
     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 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]) # Input diperbarui
+    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) # Jalankan sekali saat dimuat
 # --- Menjalankan Aplikasi ---
 if __name__ == "__main__":