Delete app.py

app.py

@@ -1,154 +0,0 @@
-import gradio as gr
-import torch
-import os
-import sys
-from huggingface_hub import login
-import base64
-import io
-from PIL import Image
-import requests
-import tempfile
-
-# 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")
-    # Hugging Face Spaces bu değişkeni otomatik olarak yükleyecek
-    # eğer Spaces UI üzerinden secret olarak eklediyseniz
-
-# WebP formatını PNG'ye dönüştürme yardımcı fonksiyonu
-def convert_webp_to_png(input_data):
-    """WebP formatındaki bir görseli PNG formatına dönüştürür"""
-    try:
-        # Farklı input türlerini işle
-        img = None
-        
-        # URL ise
-        if isinstance(input_data, str) and (input_data.startswith('http://') or input_data.startswith('https://')):
-            response = requests.get(input_data)
-            img = Image.open(io.BytesIO(response.content))
-        
-        # Base64 kodlu ise
-        elif isinstance(input_data, str) and input_data.startswith('data:'):
-            format, imgstr = input_data.split(';base64,')
-            img = Image.open(io.BytesIO(base64.b64decode(imgstr)))
-        
-        # Bytecode ise
-        elif isinstance(input_data, bytes):
-            img = Image.open(io.BytesIO(input_data))
-        
-        # Dosya yolu ise
-        elif isinstance(input_data, str) and os.path.exists(input_data):
-            img = Image.open(input_data)
-        
-        # PIL Image ise
-        elif isinstance(input_data, Image.Image):
-            img = input_data
-            
-        # Görsel açılamadıysa
-        if img is None:
-            print(f"Couldn't process image data: {type(input_data)}")
-            return input_data
-            
-        # Geçici dosya oluştur
-        temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".png")
-        temp_filename = temp_file.name
-        temp_file.close()
-        
-        # RGBA modundaysa RGB'ye dönüştür
-        if img.mode == 'RGBA':
-            img = img.convert('RGB')
-            
-        # PNG olarak kaydet
-        img.save(temp_filename, format="PNG")
-        print(f"Converted image saved to {temp_filename}")
-        
-        return temp_filename
-    except Exception as e:
-        print(f"Error converting image: {str(e)}")
-        return input_data
-
-def custom_handler(model_result):
-    """Model sonucunu işle ve PNG'ye dönüştür"""
-    try:
-        print(f"Processing model result: {type(model_result)}")
-        
-        # Liste sonucu (tipik API dönüşü)
-        if isinstance(model_result, list):
-            if len(model_result) > 0:
-                # İlk elemanı al
-                result_item = model_result[0]
-                return convert_webp_to_png(result_item)
-        
-        # Tek sonuç
-        return convert_webp_to_png(model_result)
-    except Exception as e:
-        print(f"Error in custom handler: {str(e)}")
-        return model_result
-
-def load_model():
-    try:
-        print("Setting up a custom interface...")
-        
-        # Doğrudan bir arayüz oluştur
-        def generate_3d_render(prompt):
-            try:
-                print(f"Processing prompt: {prompt}")
-                # Doğrudan Hugging Face Spaces API'sini çağır
-                import gradio.external as ext
-                result = ext.call_space(
-                    name="goofyai/3d_render_style_xl",
-                    fn_index=0,
-                    inputs=[prompt]
-                )
-                print(f"Got result from API: {type(result)}")
-                
-                # Sonucu işle ve PNG'ye dönüştür
-                processed_result = custom_handler(result)
-                return processed_result
-            except Exception as e:
-                print(f"Error in generation: {str(e)}")
-                return None
-        
-        # Arayüz oluştur
-        interface = gr.Interface(
-            fn=generate_3d_render,
-            inputs=gr.Textbox(label="Input", placeholder="Enter a prompt for 3D rendering"),
-            outputs=gr.Image(label="Output", type="filepath"),
-            title="3D Render Style XL",
-            description="Enter a prompt to generate a 3D render in game-icon style"
-        )
-        return interface
-    except Exception as e:
-        print(f"Error setting up interface: {str(e)}")
-        return None
-
-# Create the interface
-try:
-    interface = load_model()
-    if interface:
-        print("Interface set up successfully, launching...")
-        interface.launch(
-            share=False,
-            server_name="0.0.0.0",
-            server_port=7860,
-            show_error=True
-        )
-    else:
-        print("Failed to set up the interface")
-except Exception as e:
-    print(f"Error launching interface: {str(e)}")