Create app.py

app.py

@@ -0,0 +1,156 @@
+
+import gradio as gr
+import torch
+import numpy as np
+from diffusers import DiffusionPipeline
+import random
+import time
+import os
+
+try:
+    import google.generativeai as genai
+    print("✅ Library 'google-generativeai' berhasil diimpor.")
+except ImportError:
+    print("❌ Peringatan: Library 'google-generativeai' tidak ditemukan.")
+    genai = None
+
+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. 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')
+            chat_session = model.start_chat(history=[])
+            response = chat_session.send_message(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(20): # Loop singkat untuk animasi awal
+        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) # Jeda kecil untuk membuat animasi terlihat
+
+    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):
+    print(f"Laporan Diterima:\nNama: {name}\nEmail: {email}\nPesan: {message}")
+    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():
+        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! Semakin detail, semakin akurat hasilnya.")
+                    negative_prompt_input = gr.Textbox(label="Prompt Negatif", placeholder="Contoh: blurry, low quality...", lines=2, info="Masukkan hal-hal yang TIDAK Anda inginkan di gambar.")
+                    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)
+        
+        with gr.TabItem("💡 Panduan Prompting", id=1):
+            gr.Markdown("## Cara Menjadi \"Art Director\" yang Hebat untuk AI\n...")
+        with gr.TabItem("💬 Chat with AI", id=2):
+            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, bubble_full_width=False, value=[[None, "Halo! Saya adalah asisten AI dari RenXploit. Ada yang bisa saya bantu?"]]))
+        with gr.TabItem("📖 Blog & Updates", id=3):
+            gr.Markdown("### Perkembangan Terbaru dari RenXploit's AI Suite\n...")
+        with gr.TabItem("ℹ️ About & Support", id=4):
+            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 ...")
+            with gr.Accordion("Laporkan Masalah atau Beri Masukan"):
+                report_name = gr.Textbox(label="Nama Anda")
+                report_email = gr.Textbox(label="Email Anda")
+                report_message = gr.Textbox(label="Pesan Anda", lines=5)
+                report_btn = gr.Button("Kirim Laporan", variant="primary")
+                report_status = gr.Markdown(visible=False)
+                
+    gr.Markdown("---\n<div class='footer'><p>Dibuat dengan ❤️ oleh <a href="https://ngoprek.xyz">RenXploit</a>.</div>", elem_classes="footer")
+
+    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])
+
+demo.launch()