# -- 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 # --- 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) --- HEAD_HTML = """ RenXploit's Creative AI Suite """ # --- PENGATURAN & LOGIC GLOBAL --- VISITOR_LOG_FILE = "visitor_log.csv" HISTORY_LOG_FILE = "generation_log.csv" IMAGE_HISTORY_DIR = Path("generated_images") file_lock = threading.Lock() device = "cuda" if torch.cuda.is_available() else "cpu" print(f"➡ī¸ Menggunakan device: {device.upper()}") # --- Inisialisasi File Log & Direktori --- def initialize_environment(): 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.") 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 --- print("➡ī¸ 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.") upscaler_model = None upscaler_processor = None if Swin2SRForImageSuperResolution: try: print("➡ī¸ 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 = [] 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') 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="
AI sedang melukis mahakarya Anda...
"), gr.update(interactive=False), gr.update(visible=False) start_time = time.time() images, used_seed = generate_images(prompt, negative_prompt, int(steps), int(seed), int(num_images)) end_time = time.time() timestamp_str = datetime.now().strftime("%Y-%m-%d %H:%M:%S") for i, img in enumerate(images): filename = f"{int(time.time())}_{used_seed}_{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, int(steps)]) 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) # --- FUNGSI VISITOR MONITOR (DENGAN PERBAIKAN FINAL) --- 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) == 0: return "## 📈 0", pd.DataFrame({"Timestamp": [], "Total Pengunjung": []}) # --- PERBAIKAN UTAMA --- # Secara eksplisit berikan nama kolom untuk menghindari KeyError # jika file tidak memiliki header. column_names = ["Timestamp", "IP Address", "User Agent"] df = pd.read_csv(VISITOR_LOG_FILE, header=None, names=column_names) # Jika baris header terbaca sebagai data, buang baris tersebut. if df.iloc[0]['Timestamp'] == 'Timestamp': df = df.iloc[1:].reset_index(drop=True) # Periksa lagi apakah DataFrame kosong setelah membuang header 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 = datetime.now() 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"## ⚠ī¸ Error: {e}", 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"⚠ī¸ 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 --- 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'] if (IMAGE_HISTORY_DIR / fname).exists()] 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"### ⚠ī¸ 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.get('NegativePrompt', 'N/A')}` --- **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.get('NegativePrompt', ''), selected_row['Seed'], selected_row['Steps'], gr.Tabs(selected=0) ) 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) 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") 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, tg, tb = int(0.393 * r + 0.769 * g + 0.189 * b), int(0.349 * r + 0.686 * g + 0.168 * b), int(0.272 * r + 0.534 * g + 0.131 * b) pixels[x, y] = (min(255, tr), min(255, tg), min(255, tb)) 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("⚙ī¸ 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("### đŸ–ŧī¸ **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("đŸ’Ŧ 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 --- with gr.TabItem("✨ Prompt Enhancer", id=2): with gr.Row(variant='panel'): with gr.Column(): gr.Markdown("### đŸĒ„ **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("➡ī¸ Kirim & Pindah ke Generator") # --- TAB 4: AI IMAGE UPSCALER --- 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("đŸ–ŧī¸ Galeri & Riwayat", id=4) as history_tab: 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() 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 --- 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 --- with gr.TabItem("⚙ī¸ 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 - **v2.6 (Pembaruan Terkini):** Perbaikan final untuk bug `KeyError: 'Timestamp'` pada Visitor Monitor, membuatnya lebih tahan banting terhadap format file CSV. - **v2.5:** 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. - **v2.1 - v2.3:** Perbaikan bug dan penambahan fitur inti seperti Prompt Enhancer, Upscaler, dan System Monitor. - **v2.0:** Perombakan Desain Total. - **Rencana Berikutnya:** Menjajaki model generator gambar yang berbeda dan fitur Inpainting/Outpainting. Nantikan!""") with gr.TabItem("ℹī¸ 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

Dibuat dengan ❤ī¸ oleh RenXploit.

", 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 Lainnya 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 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]) history_gallery.select(fn=show_history_details, inputs=[history_df_state], outputs=[history_details_md, history_action_buttons]) 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] for slider in [brightness_slider, contrast_slider, saturation_slider, sharpness_slider]: 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)