Delete app.py

app.py

@@ -1,127 +0,0 @@
-import gradio as gr
-import torch
-import os
-import sys
-from huggingface_hub import login
-from diffusers import StableDiffusionPipeline
-import io
-import base64
-from PIL import Image
-import numpy as np
-
-# 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 Stable Diffusion model for 3D-style rendering...")
-        
-        # Use a lightweight model that can generate game icons
-        pipe = StableDiffusionPipeline.from_pretrained(
-            "runwayml/stable-diffusion-v1-5",
-            torch_dtype=torch.float16 if device == "cuda" else torch.float32,
-            safety_checker=None,
-            requires_safety_checker=False
-        ).to(device)
-        
-        print("Model loaded successfully!")
-        return True
-        
-    except Exception as e:
-        print(f"Error loading model: {str(e)}")
-        # Fallback to a simple image generation
-        return False
-
-def generate_3d_icon(prompt, seed=0, guidance_scale=7.5, num_inference_steps=20):
-    try:
-        print(f"Generating 3D icon with prompt: {prompt}")
-        
-        if pipe is None:
-            raise Exception("Model not loaded")
-            
-        # Enhance prompt for 3D game icon style
-        enhanced_prompt = f"3D rendered game icon, {prompt}, clean background, vibrant colors, high quality, digital art, professional game asset"
-        
-        # Set seed for reproducibility
-        if seed > 0:
-            generator = torch.Generator(device=device).manual_seed(seed)
-        else:
-            generator = None
-            
-        # Generate image
-        with torch.no_grad():
-            image = pipe(
-                enhanced_prompt,
-                guidance_scale=guidance_scale,
-                num_inference_steps=num_inference_steps,
-                generator=generator,
-                height=512,
-                width=512
-            ).images[0]
-        
-        return image
-        
-    except Exception as e:
-        print(f"Error generating icon: {str(e)}")
-        # Return a simple placeholder image
-        placeholder = Image.new('RGB', (512, 512), color='lightblue')
-        return placeholder
-
-# Create Gradio interface
-def create_interface():
-    # Load model first
-    model_loaded = load_model()
-    
-    interface = gr.Interface(
-        fn=generate_3d_icon,
-        inputs=[
-            gr.Textbox(label="Prompt", placeholder="Describe your game icon", value="galatasaray"),
-            gr.Slider(minimum=0, maximum=1000, value=0, step=1, label="Seed"),
-            gr.Slider(minimum=1.0, maximum=20.0, value=7.5, step=0.5, label="Guidance Scale"),
-            gr.Slider(minimum=10, maximum=50, value=20, step=1, label="Inference Steps")
-        ],
-        outputs=gr.Image(type="pil", label="Generated Game Icon"),
-        title="3D Game Icon Generator",
-        description="Generate 3D-style game icons using AI",
-        examples=[
-            ["fantasy sword game icon", 42, 7.5, 20],
-            ["space shooter game icon", 123, 7.5, 20],
-            ["puzzle game icon with gems", 456, 7.5, 20]
-        ]
-    )
-    
-    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)}")