Delete app.py

app.py

@@ -1,110 +0,0 @@
-import gradio as gr
-import torch
-from huggingface_hub import HfApi, login, whoami
-import os
-import sys
-import traceback
-from getpass import getpass
-
-# 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}")
-
-def validate_token(token):
-    """Validate a Hugging Face token by attempting to get user info."""
-    try:
-        login(token=token)
-        user_info = whoami()
-        print(f"Successfully logged in as: {user_info['name']} ({user_info.get('email', 'N/A')})")
-        return True
-    except Exception as e:
-        print(f"Token validation error: {str(e)}")
-        return False
-
-# Try to get token from environment variable
-hf_token = os.getenv("HUGGINGFACE_TOKEN")
-
-# If not found in environment variables, prompt for manual input
-if not hf_token:
-    print("HUGGINGFACE_TOKEN not found in environment variables.")
-    print("You can set it permanently with:")
-    print("  export HUGGINGFACE_TOKEN=your_token_here  # On Linux/macOS")
-    print("  set HUGGINGFACE_TOKEN=your_token_here     # On Windows")
-    print("\nAlternatively, you can enter your token manually below:")
-    
-    try:
-        hf_token = getpass("Enter your Hugging Face token (input will be hidden): ")
-    except Exception as e:
-        print(f"Error reading token: {str(e)}")
-        print("Continuing without token...")
-
-# Validate token if available
-if hf_token:
-    token_valid = validate_token(hf_token)
-    if not token_valid:
-        print("Warning: Token validation failed. Model loading may not work.")
-else:
-    print("Warning: No Hugging Face token provided. Model loading may not work.")
-
-def load_model():
-    try:
-        print("Attempting to load model from Hugging Face Hub...")
-        # Try direct Hub access first
-        try:
-            from huggingface_hub import snapshot_download
-            print("Trying to access model directory...")
-            model_path = snapshot_download(repo_id="goofyai/3d_render_style_xl", token=hf_token)
-            print(f"Model downloaded to {model_path}")
-        except Exception as e:
-            print(f"Error downloading model: {str(e)}")
-        
-        # Try different approaches to load the model
-        try:
-            print("Using gr.load() method with explicit token...")
-            interface = gr.load(
-                "models/goofyai/3d_render_style_xl",
-                hf_token=hf_token
-            )
-            return interface
-        except Exception as e:
-            print(f"Error with gr.load() using explicit token: {str(e)}")
-            print(traceback.format_exc())
-            
-            # Try without specifying token (using the login from earlier)
-            try:
-                print("Using gr.load() without explicit token...")
-                interface = gr.load("models/goofyai/3d_render_style_xl")
-                return interface
-            except Exception as e:
-                print(f"Error with gr.load() without token: {str(e)}")
-                print(traceback.format_exc())
-                
-                # Try old Interface.load as last resort
-                print("Trying Interface.load() as fallback...")
-                interface = gr.Interface.load("models/goofyai/3d_render_style_xl")
-                return interface
-    except Exception as e:
-        print(f"Error loading model: {str(e)}")
-        print(traceback.format_exc())
-        return None
-
-# Create the interface
-try:
-    interface = load_model()
-    if interface:
-        print("Model loaded successfully, launching interface...")
-        interface.launch(
-            share=False,
-            server_name="0.0.0.0",
-            server_port=7860,
-            show_error=True
-        )
-    else:
-        print("Failed to load the interface")
-except Exception as e:
-    print(f"Error launching interface: {str(e)}")
-    print(traceback.format_exc())