Delete app.py

app.py

@@ -1,30 +0,0 @@
-import torch
-import gradio as gr
-from PIL import Image
-from torchvision import transforms
-
-# Load the pre-trained gram matrix
-gram_matrix = torch.load("path_to_gram_matrix.pt")
-
-def style_transfer(content_image):
-    # Preprocess the content image
-    preprocess = transforms.Compose([
-        transforms.Resize((256, 256)),
-        transforms.ToTensor(),
-        transforms.Lambda(lambda x: x.unsqueeze(0))  
-    ])
-    content_image = preprocess(content_image)
-    
-    # Apply style transfer using the pre-trained gram matrix
-    output_image = apply_style_transfer(content_image, gram_matrix)
-    
-    # Convert tensor to PIL image for display
-    output_image = transforms.ToPILImage()(output_image.squeeze(0))
-    return output_image
-
-# Define Gradio interface
-iface = gr.Interface(fn=style_transfer, 
-                     inputs=gr.inputs.Image(), 
-                     outputs="image")
-
-iface.launch()