Delete app.py

app.py

@@ -1,118 +0,0 @@
-import gradio as gr
-import torch
-import os
-import sys
-from huggingface_hub import login
-from diffusers import StableDiffusionXLPipeline
-from PIL import Image
-
-# Force CPU usage if needed
-device = "cuda" if torch.cuda.is_available() else "cpu"
-print(f"Using device: {device}")
-
-# More details about the environment
-print(f"Gradio version: {gr.__version__}")
-print(f"Python version: {sys.version}")
-
-# Hugging Face API token'ı - önce environment variable olarak ara, 
-# sonra Hugging Face Secrets sisteminde ara
-hf_token = os.environ.get("HUGGINGFACE_TOKEN")
-if hf_token:
-    print("Found HUGGINGFACE_TOKEN in environment variables")
-    # Token ile giriş yap
-    login(token=hf_token)
-    print("Logged in with Hugging Face token")
-else:
-    print("HUGGINGFACE_TOKEN not found in environment variables")
-
-# Global model variable
-pipe = None
-
-def load_model():
-    global pipe
-    try:
-        print("Loading SDXL pipeline with 3D render LoRA...")
-        
-        # Load SDXL base model
-        pipe = StableDiffusionXLPipeline.from_pretrained(
-            "stabilityai/stable-diffusion-xl-base-1.0",
-            torch_dtype=torch.float16 if device == "cuda" else torch.float32,
-            use_safetensors=True
-        ).to(device)
-        
-        # Load the 3D render LoRA
-        pipe.load_lora_weights("goofyai/3d_render_style_xl")
-        
-        print("Model loaded successfully!")
-        return True
-        
-    except Exception as e:
-        print(f"Error loading model: {str(e)}")
-        return False
-
-def generate_3d_icon(prompt):
-    global pipe
-    try:
-        print(f"Generating 3D icon with prompt: {prompt}")
-        
-        if pipe is None:
-            print("Model not loaded, attempting to load...")
-            if not load_model():
-                raise Exception("Failed to load model")
-        
-        # Enhance prompt for 3D game icon style
-        enhanced_prompt = f"3d style, 3d render, {prompt}, game icon, clean background, vibrant colors, high quality"
-        
-        # Generate image
-        with torch.no_grad():
-            image = pipe(
-                enhanced_prompt,
-                num_inference_steps=30,
-                guidance_scale=7.5,
-                height=512,
-                width=512
-            ).images[0]
-        
-        print("Image generated successfully")
-        return image
-        
-    except Exception as e:
-        print(f"Error generating icon: {str(e)}")
-        
-        # Return error image with red background
-        image = Image.new('RGB', (512, 512), color='red')
-        from PIL import ImageDraw
-        draw = ImageDraw.Draw(image)
-        draw.text((200, 250), "Generation Error", fill=(255, 255, 255))
-        return image
-
-# Create Gradio interface
-def create_interface():
-    # Try to load model at startup
-    load_model()
-    
-    interface = gr.Interface(
-        fn=generate_3d_icon,
-        inputs=[
-            gr.Textbox(label="Prompt", placeholder="Describe your game icon", value="galatasaray")
-        ],
-        outputs=gr.Image(type="pil", label="Generated Game Icon"),
-        title="3D Game Icon Generator",
-        description="Generate 3D-style game icons using AI"
-    )
-    
-    return interface
-
-# Launch the interface
-if __name__ == "__main__":
-    try:
-        interface = create_interface()
-        print("Launching interface...")
-        interface.launch(
-            share=False,
-            server_name="0.0.0.0",
-            server_port=7860,
-            show_error=True
-        )
-    except Exception as e:
-        print(f"Error launching interface: {str(e)}")