Update app.py

app.py

@@ -16,6 +16,9 @@ from PIL import Image
 import numpy as np
 from model import ContentLoss, gram_matrix, StyleLoss, image_transform, get_input_optimizer,get_style_model_and_losses
 
+
+
+
 #Defining the Model
 cnn = models.vgg19(pretrained=True).features.eval()
 
@@ -25,7 +28,6 @@ cnn_normalization_mean = torch.tensor([0.485, 0.456, 0.406])
 cnn_normalization_std = torch.tensor([0.229, 0.224, 0.225])
 
 
-
 ## style_transfer
 import numpy as np
 def run_style_transfer(cnn, normalization_mean, normalization_std,
@@ -131,8 +133,8 @@ example_list = [["examples/" + example] for example in os.listdir("examples")]
 demo = gr.Interface(
     fn=style_transfer,
     inputs=[
-        gr.inputs.Image(label="content Image"),
-        gr.inputs.Image(label="style_image")
+        gr.Image(label="content Image"),
+        gr.Image(label="style_image")
     ],
     examples=example_list,
     outputs="image",
@@ -143,5 +145,5 @@ demo = gr.Interface(
 )
 
 # Launch the Gradio interface
-demo.launch(debug=True)
+demo.launch(debug=True, share=True)